KR102181896B1 - A method and system for presenting content on an electronic device - Google Patents

Abstract

Embodiments of the present invention provide a method and system for organizing content on an electronic device. The method includes extracting first intent data related to each content data received from a plurality of information sources. The first intent data is extracted by performing semantic analysis of the received content. Based on the degree of semantic similarity between the plurality of data items associated with the content received from each information source, the method includes dynamically indexing the content received from the plurality of sources. In addition, the method includes extracting second intent data related to at least one object browsed by the user from an electronic device related to the user. Based on a user gesture for an indication displayed along with the browsed object, the method includes providing the indexed content in a chronological order in a user's electronic device.

Description

A method and system for providing content in an electronic device TECHNICAL FIELD

Embodiments of the present invention generally relate to information provisioning systems, and more particularly, to a system and method for dynamically organizing content and providing the organized content on a user device. This application is based on India Application No. 3260/CHE/2014 filed on July 2, 2014, claims priority thereto, and the disclosed contents of the document are incorporated herein by reference.

Due to the rapid rise in Internet popularity, vast amounts of information are available on the Internet. Users browse the Internet as a preferred source for obtaining information on different topics and events.

When a user searches for a topic through the Internet, a search engine can generate results for the search topics. Search engines can provide relevant content to users based on techniques such as keyword indexing and ranking for the content by using crawlers.

Similarly, when a user searches for information related to current events and news, the information may be received from a news service provider. In general, a news service provider receives urgent news headlines from a specific content provider and also receives related news stories from a plurality of content providers. Thereafter, the news provider can aggregate the emergency news headlines and related information on the emergency news, and provide the combined content to users. Since the relevant information is searched based on keyword searches, the content viewed by the user may be incomplete, the data/depth may be incomplete or may be irrelevant. Also, since the provided related information is not arranged in chronological order, the user may have to determine the correct order for events in the news event by referring to each result.

Current information and news service providers that provide services such as search engines do not have the ability to semantically correlate content. Since the information provided to the user is based on keyword matching, the probability of providing irrelevant content increases. Also, such content may be presented to users in an unorganized manner. In the case of a news event, the user may need to manually refer to multiple content providers to find out the origin or have a complete context for the news story. In the case of searched topics, the user may need to refer to multiple results in order to understand the searched topic.

Accordingly, there is a need to facilitate searching and understanding contents by providing semantically related information to users.

The main purpose of the embodiments described in the present specification is to provide, on an electronic device, content that provided content is semantically related to an object browsed by a user of the electronic device.

Another object of the embodiments described herein is to dynamically organize content on a server. Dynamically organized content may be provided on an electronic device associated with a user when a user browses content similar to the organized content.

Another object of the embodiments described in this specification is to extract intent data related to an object being browsed by a user of an electronic device. The intent data includes at least one of metadata, content of the object, and context data of the object.

Another object of the embodiments described herein is to provide content based on semantic matching between data items from information sources and intent data corresponding to an object being browsed by a user.

Another object of the embodiments described in this specification is to provide content indexed on an electronic device based on a gesture performed by a user.

Another object of the embodiments described herein is to display an indicia, which may be configured to receive user input, along with content on the browser. Content may be provided to the user based on the indexed user input.

Accordingly, embodiments of the present invention provide a method for providing content to an electronic device. The method includes extracting intent data related to at least one object browsed by the user. The intent data is extracted by performing semantic analysis of the object. The method includes dynamically indexing content based on the extracted intent data. The indexed content is arranged in chronological order. In addition, the method includes providing indexed content in an electronic device based on at least one gesture performed by a user.

Accordingly, embodiments of the present invention provide a method for browsing content in an electronic device. The method includes displaying the content on the electronic device, and also displaying an indicia along with the displayed content. The indicia is configured to receive user input. The method includes providing indexed content based on a user input received at the indicia.

Accordingly, embodiments of the present invention provide a system for providing content to a user. The system includes a server configured to extract intent data related to at least one object browsed by a user. The intent data is extracted by performing semantic analysis of the object. The server is configured to dynamically index content based on the extracted intent data. The indexed content is related to at least one object in chronological order. The electronic device is configured to provide the indexed content to the electronic device based on at least one gesture performed by a user.

Accordingly, embodiments of the present invention provide an apparatus for dynamically organizing content for users. The apparatus includes a semantic analyzer module configured to extract first intent data related to content received from a plurality of information sources. The first intent data is extracted by performing semantic analysis of the content. The semantic analyzer module is configured to dynamically index content based on the first intent data. The indexed content is arranged in chronological order. The semantic analyzer module is configured to extract second intent data related to at least one object browsed by a user. The second intent data is extracted by performing semantic analysis of at least one object. The semantic analyzer module is configured to provide the indexed content in chronological order in the electronic device based on at least one gesture performed by the user. The indexed content corresponds to second intent data.

Accordingly, embodiments of the present invention provide an apparatus for providing content to a user. The apparatus includes a semantic analyzer module configured to extract intent data associated with at least one object browsed by a user. The intent data is extracted by performing semantic analysis of at least one object. The semantic analyzer module may be configured to dynamically index content based on the extracted intent data. The indexed content is related to at least one object in chronological order. The semantic analyzer module may be configured to provide indexed content to the electronic device based on at least one gesture performed by the user.

Accordingly, embodiments of the present invention provide a device for providing content in an electronic device. The device includes a semantic analyzer module configured to display content on the device and also to display an indicia along with the displayed content. The indicia is configured to receive user input. Based on a user input received from the indicia, the device provides indexed content.

Accordingly, embodiments of the present invention provide a computer product for providing content to an electronic device. The computer program product includes computer executable program code recorded on a computer-readable non-transitory storage medium. The computer-executable program code, when executed, causes the product to extract intent data associated with at least one object browsed by a user. The intent data is extracted by performing semantic analysis of the object. The computer-executable program code, when executed, causes the product to dynamically index content based on the extracted intent data. The indexed content is related to at least one object in chronological order. The computer-executable program code, when executed, causes the product to provide indexed content to an electronic device based on at least one gesture performed by a user.

Accordingly, embodiments of the present invention provide a computer product for browsing content on an electronic device. The computer program product includes computer executable program code recorded on a computer-readable non-transitory storage medium. The computer-executable program code, when executed, causes a product to display content on an electronic device. The computer-executable program code, when executed, causes a product to display an indicia along with the content on the electronic device. The indicia is configured to receive user input. Based on user input received in the indicia, the computer executable program code provides indexed content.

These and other aspects of the embodiments of the present invention will be more readily recognized and understood when considered in conjunction with the following description and accompanying drawings. However, it is to be understood that the following description, although indicating the preferred embodiments and numerous specific details thereof, is given by way of example and not limitation. A number of variations and modifications may be made without departing from the spirit of the present invention, and embodiments of the present invention include all such modifications.

According to various embodiments of the present disclosure, content semantically related to an object browsed by a user of the electronic device may be provided on the electronic device.

The invention is illustrated in the accompanying drawings, in which the same reference characters indicate corresponding parts in the various drawings. Embodiments of the present invention will be more easily understood from the following description with reference to the drawings.
1A, 1B, and 1C illustrate an overall overview of a system for providing semantically indexed content to an electronic device according to embodiments described herein.
2 illustrates various modules of an index server or an electronic device according to embodiments described herein.
3 illustrates various modules within a semantic analyzer module configured to dynamically organize content, in accordance with embodiments described herein.
4A is a flowchart illustrating a method for dynamically indexing content from a plurality of information sources, according to embodiments described herein.
4B is a flowchart illustrating a method for providing indexed content on an electronic device according to embodiments described herein.
5 is an example of a sparse semantic matrix showing information from a plurality of information sources, according to embodiments described herein.
6 is a flowchart illustrating a method for providing indexed content on an electronic device using in-device information sources, according to embodiments described herein.
7 is an exemplary flow chart illustrating various operations performed in an index server by a user of an electronic device to provide indexed content on an electronic device according to embodiments described herein.
FIG. 8 is an example of a user interface in which a current news article and previous news articles semantically linked to a current news article are provided to an electronic device, according to embodiments described herein.
9 is an example of a user interface showing index content availability markers in a document (eg, knowledge article) rendered by a browser of an electronic device, according to embodiments described herein.
10 is an illustration of a user interface showing a plurality of indexed content availability markers on a knowledge document when a user browses the documents offline, according to embodiments described herein.
11 illustrates a plurality of content availability indicia present in a knowledge document viewed on a web page and a knowledge document being browsed (e.g., knowledge) according to embodiments described herein. These are examples of user interfaces that show presentations on tutorials built for (knowledge articles).
12 illustrates a computing environment implementing a method and system for dynamically organizing content in a server and providing indexed content on an electronic device, according to embodiments described herein.
13 is a block diagram of an electronic device according to embodiments described herein.
14 is a flowchart of a method for providing content by an electronic device according to embodiments described in the present specification.

Embodiments of the invention and various features and advantageous details thereof are more fully described with reference to non-limiting embodiments, which are illustrated in the accompanying drawings and are also described in detail in the following description. Descriptions of well-known components and processing techniques are omitted so as not to unnecessarily obscure the present invention. Further, the various embodiments described herein are not necessarily mutually exclusive, and some embodiments may be combined with one or more other embodiments to form new embodiments. The term "or" as used herein, unless otherwise indicated, refers to non-exclusive. The examples used herein are merely intended to facilitate an understanding of the manner in which embodiments of the present invention may be practiced, and also to enable those skilled in the art to practice the embodiments of the present invention. Therefore, these examples should not be construed as limiting the scope of the embodiments of the present invention.

The embodiments described herein achieve a system and method for organizing content on an electronic device. The method includes extracting first intent data related to each content data received from a plurality of information sources. The first intent data is extracted by performing semantic analysis on content received from a plurality of information sources. Based on the degree of semantic similarity between the plurality of data items related to the content received from each information source, the method includes dynamically indexing the content received from the plurality of sources based on the first intent data. do. Also, the method includes extracting second intent data related to at least one object browsed by the user on an electronic device associated with the user. Based on the availability of indexed content related to the user gesture and the second intent data, the method includes providing, on an electronic device of the user, the indexed content in chronological order.

The embodiments described herein achieve a system and method for providing content on an electronic device. The method includes extracting intent data related to at least one object browsed by the user. The intent data is extracted by performing semantic analysis on the object. The method includes dynamically indexing content based on the extracted intent data, wherein the indexed content is related to the object in chronological order. In addition, the method includes providing indexed content on an electronic device based on at least one gesture performed by a user.

The methods and systems described herein are simple and robust for dynamically organizing content in electronic devices such as servers, for example. Since content indexing in the server is based on the degree of semantic similarity between data items of content received from multiple information sources, the method and system provide higher accuracy in providing semantically linked content. Is done. The server determines a semantic linkage between contents, and includes a semantic threshold for ensuring that indexed contents are linked with each other. Since the indexed content is arranged in chronological order, the content provided on the user's electronic device enables the user to identify the origin of the content. For example, in the case of a news story, based on the content provided in chronological order, the user can easily find the location of the origin of the story. Also, the content may be provided on the user's electronic device based on the availability of the indexed content and gestures performed by the user. For example, a top to bottom swipe on an indicia enables the user to search for previous content related to the content the user is viewing. In another example, based on the available indexed content, content availability indicia may be populated on a web page.

Throughout the description, the terms "server" and "index server" are used interchangeably.

Turning now to the drawings, more specifically with reference to FIGS. 1 to 12 in which like reference numerals consistently designate corresponding functions throughout the drawings, preferred embodiments are shown.

1A, 1B, and 1C illustrate an overall overview of a system for providing semantically indexed content to an electronic device according to embodiments described herein. In one embodiment, FIG. 1A shows a system 100A including an index server 102, a plurality of information sources 104, and an electronic device 106 in communication with each other over a communication network 108.

Examples of the information sources 104 include an electronic device of a content provider, a knowledge graph of a user, an electronic device of a friend, an electronic device of a friend of a friend, in which a knowledge graph is stored locally on the electronic device of the user, etc. Group electronic devices, departmental electronic devices, servers, community electronic devices, company electronic devices, organizational electronic devices, customer management electronic devices, and expert electronic devices may be included, but are not limited thereto.

The index server 102 may be configured to extract first intent data related to each content data received from the plurality of information sources 104. The first intent data is extracted by performing semantic analysis on content received from the plurality of information sources 104. Based on the degree of semantic similarity between the plurality of data items related to the content received from each information source, the index server 102 dynamically indexes the content received from the plurality of information sources 104 Can be configured to

The electronic device 106 enables a user to browse and view various contents available on the World Wide Web (WWW) using a browser. The electronic device 106 described herein may be, for example, a mobile phone, a personal digital assistant (PDA), a portable personal computer, a laptop, a tablet, a phablet, a desktop computer, a communicator, or an equivalent thereof. , Is not limited thereto.

In one embodiment, the information sources 104 may be part of the index server 102. In one embodiment, a system 100B implementing this scenario is shown in FIG. 1B. In one embodiment, the index server 102 may include a variety of information sources 104. For example, the index server 102 of a news content provider may include a number of information sources 104. The indexed content may be dynamically organized within the index server 102 based on the content provided by deriving a degree of semantic similarity between a plurality of data items related to the content received from each information source. When a user of the electronic device 106 browses the content of a web page provided by a news content provider, the availability of indexed content appears on the browser in order to view the related content. Based on a gesture performed by the user on the browsed content, the index server 102 may be configured to provide content requested by the user in chronological order.

According to one embodiment, server 102 may semantically index documents (eg, articles). According to an embodiment, the server 102 may include a metadata extractor, a semantic linker, and an indexer.

The metadata extractor may extract metadata of one or more events or topics associated with the document. Semantic connectors can link documents according to one or more events or topics. Indexer can index linked documents.

In one embodiment, when the electronic device 106 is not connected to the communication network 108, the information sources 104 may be part of the electronic device 106. In one embodiment, FIG. 1C illustrates a system 100C capable of providing content to a user using in-device content of the electronic device 106. A system 100C implementing this scenario is shown in FIG. 1C. The content provided to the user is based on information sources 104 available from the electronic device 106. Examples of the information sources 104 of the electronic device 106 include device-memory, browser history data, a user's knowledge graph, a friend's electronic device, a friend's friend electronic device, a group electronic device, a departmental electronic device, a community electronic device. , A company electronic device, an organization electronic device, a customer management electronic device, and an expert electronic device, but is not limited thereto. The electronic device 106 may be configured to analyze content provided by a browser and extract intent data such as context of data, content within the browser, and metadata related to content within the browser. Based on the extracted intent data, the in-device analyzer module may be configured to provide semantically linked content, available from information sources 104 present in electronic device 106.

According to an embodiment, the electronic device 106 may perform semantic analysis of an article browsed by a user in order to extract metadata about one of a related event or topic. The electronic device 106 may dynamically index the content based on the extracted metadata. The electronic device 106 may provide indexed content to the user based on a gesture performed by the user. Here, the indexed content may be related to a document browsed by a user.

According to an embodiment, the information source of the indexed content may be at least one of another information source of the Internet, another content of the same information source, and content locally stored in the electronic device.

According to an embodiment, another source of information on the Internet may be an alternate source of a document matching the extracted metadata. According to one embodiment, different content from the same information source may be chronologically related to the document.

According to an embodiment, the electronic device 106 may include a user interface for browsing content.

The user interface may include content displayed on the electronic device 106 and at least one indicia displayed together with the content. The electronic device 106 may receive a user's input on the mark. The electronic device 106 may provide related content upon receiving the user input in response to a user's input received on the mark.

According to an embodiment, the related content may be content semantically related to the displayed content. According to an embodiment, the user input may include at least one of a swipe gesture, a tap gesture, a long press gesture, and a hold and drag gesture.

The communication network 108 may be configured to support the system by assisting the electronic device 106 to access a service interface associated with the index server 102. In one embodiment, the communication network 108 described herein is, for example, a personal area network (PAN), a local area network (LAN), a wide area network (WAN), a global system for mobile communication (GSM), and the Internet. , Value-added network (VAN), wireless communication network, two-way cable network, satellite network, interactive kiosk network, cellular network, personal mobile gateway (PMG), short-range communication network such as Bluetooth, NFC (Near Field Communication) or any other suitable communication networks capable of providing a means of communication between electronic devices.

1A, 1B, and 1C show a limited overview of systems 100A, 100B, and 100C, respectively, but it should be understood that other embodiments are not so limited. The system may include any number of electronic devices, and servers, along with hardware and software components, thereby dynamically organizing content and providing the organized content to a user. For example, the component may be a process, an object, an executable process, an execution thread, a program, or a computer executed in a controller or processor, but is not limited thereto.

2 illustrates various modules 200 of the index server 102 or the electronic device 106 according to embodiments described herein. In one embodiment, the modules 200 of the index server 102 or the electronic device 106 are a crawler module 202, a semantic analyzer module 204, and a browser module 206, query processing A module 208, a gesture module 210, a display module 212, a communication module 214, a controller module 216, and a storage module 218 may be included.

The crawler module 202 of the index server 102 may be configured to search for content on the world wide web. In one embodiment, the crawler module 202 examines the text of resources for a number of web pages to find navigable references (e.g., such as hyperlinks) to other content resources. You can follow. The crawler module 202 may be configured to mark each content source and find more content sources through searchable references. The crawler module 202 of the electronic device 106 may be configured to mine semantically related content within the electronic device 106. In one embodiment, the crawler module 202 of the index server 102 may be configured to search for related content from a plurality of information sources 104.

In one embodiment, the semantic analyzer module 204 may be configured to dynamically index the content based on the extracted first intent data. The first intent data is extracted from content received from a plurality of information sources 104 using a semantic analyzer associated with the semantic analyzer module 204. The first intent data includes, for example, metadata of content, content, and context of data, but is not limited thereto. Based on the content received from the plurality of information sources 104, a plurality of data items may be derived in the semantic analyzer module 204. The semantic analyzer module 204 may be configured to derive a degree of semantic similarity between a plurality of data items related to content received from each derived information source 104. If the degree of semantic similarity exceeds the semantic threshold, the semantic analyzer module 204 may index the content from the information source 104.

In one embodiment, the semantic analyzer module 204 may be configured to extract second intent data related to at least one object browsed by the user. A plurality of data items are determined from at least one object browsed by the user. The determined plurality of data items may include subject-related subject, event, content, content, word vector, token, and context information, but are not limited thereto. The second intent data is extracted by the semantic analyzer module 204 using semantic analysis of the determined data items browsed by the user.

The browser module 206 may be configured to search, provide, and travers information resources on the World Wide Web. Examples of commonly used browsers may include, but are not limited to, Firefox, Internet Explorer, Google Chrome, Opera, and Safari. In one embodiment, browser module 206 may be used to access information from file systems of electronic device 106. In one embodiment, the browser module 206 may be configured to display an indicia along with the content. This marker provides an indication that the indexed content is available on the browsed web page. This indicia provides a visual indication to the user in the form of indicia indicating availability of the indexed content. Other markers represent previous content, later content, content from the same information sources, content from multiple information sources. The content may be about an event, a multimedia stream, a document (eg, an article), content content, a topic, and the like.

The query processing module 208 may be configured to analyze at least one object browsed by a user and extract second intent data related to the object. The extracted intent data is transmitted to the semantic analyzer module 204 for further processing.

In one embodiment, the query processing module 208 is configured to extract the first intent data from the content received from the plurality of information sources 104 using a semantic analyzer associated with the semantic analyzer module 204. I can.

The gesture module 210 may be configured to identify a gesture performed by a user with respect to the browsed content rendered on the display of the electronic device 106. Based on the gesture received for the object browsed by the user, the browser module 206 may identify the content requested by the user. In one embodiment, users may receive more content by performing gestures on markers indicating availability of indexed content. The browser module 206 can communicate with the query processing module 208 to search and display the indexed content according to the identified user gesture.

The display module 212 may be configured to render content on the display screen of the electronic device 106. Based on the results from the semantic analyzer module 204, the display module 212 may be configured to present its indexed content on the screen of the electronic device 106. The communication module 214 may be configured to enable communication between the electronic device 106 and the index server 102 based on a service interface configured by the index server 102. In one embodiment, the service interface may be enabled or disabled based on a user request.

In an embodiment, the controller module 216 may be configured to provide content indexed in chronological order by controlling and adjusting operations performed by various modules of the electronic device 106.

The controller module 216 may be configured to dynamically organize content within the index server 102 by controlling and coordinating operations performed by various modules of the index server 102.

2 shows a limited overview of the modules 200 of the index server 102 or the electronic device 106, and it should be understood that other embodiments are not limited thereto. The labels or names of the modules are used for illustrative purposes only, and do not limit the scope of the present invention. In addition, functions of one or more modules at the same time may be combined with the same or different modules or may be individually executed within a range not departing from the scope of the embodiments described herein. Further, the electronic device 106 and the index server 102 may include other modules that communicate locally or remotely, along with other hardware or software components, to control the dynamic organization of content for a user. For example, the component may be a process, an object, an executable process, an execution thread, a program, or a computer executed in a controller or processor, but is not limited thereto. As an example, both the application running on the electronic device and the electronic device itself may be components.

3 shows various modules of a semantic analyzer module 204 configured to dynamically organize content, in accordance with embodiments described herein. In one embodiment, the semantic analyzer module 204 is a query processing module 208, a metadata extractor module 310, a database query module 312, a semantic matcher module 314, and metadata rule processing. A module (metadata rule processing module) 316 and a metadata semantic index module 318 may be included.

To build an index database on the index server 102, the query processing module 208 uses the semantic analyzer module 306 to retrieve first intent data from the content received from the plurality of information sources 104. It can be configured to extract. The query processing module 208 includes a content preprocessing module 304, a semantic analyzer module 306, and a topic estimation module 308. The content preprocessing module 304 may be configured to extract a plurality of data items related to the content received from each of the information sources 104. The distribution of each word through the usage situation of the words is considered first, regardless of their correlation with other words. During content processing, the metadata extractor module 310 may be configured to extract metadata related to the content.

In an embodiment, the query processing module 208 may be configured to extract intent data related to content browsed by a user of the electronic device 106.

The semantic analyzer module 306 may be configured to provide a minimum number of data items, thereby providing a compact representation of data item-content relationships. The data items include subject information related to the content received from each information source 104. A plurality of data items existing in the content from each information source 104 may be analyzed by the semantic analyzer module 306, thereby generating a subject distribution pattern. The subject estimation module 308 may be configured to extract various subjects existing in an object browsed by a user. The extracted subjects and data-word relationships may form first intent data related to content received from the plurality of information sources 104.

In an embodiment, the query processing module 208 may be configured to analyze at least one object browsed by a user and extract second intent data related to the object. The extracted intent data is transmitted to the database query module 312. The database query module 312 may be configured to generate a query based on the first intent data including metadata received from the metadata extractor module 310. The extracted intent data, including the determined data items, may be transmitted to the semantic matcher module 314. The semantic matcher module 314 may be configured to determine a degree of semantic similarity between a plurality of data items derived from the plurality of information sources 104. If the degree of semantic similarity exceeds the semantic threshold, content from each information source 104 may be selected for indexing. The metadata generated by the metadata extractor module 310 is processed by the metadata rule processor module 316. By using the metadata generated by the metadata extractor module, semantically linked content can be arranged in chronological order. For example, time stamps may be used to arrange the content in chronological order. The metadata rule processor module 306 may be configured to process metadata based on metadata rules such as content linking, content quality, metadata threshold, and the like. Based on the metadata processed by the metadata rule processor module 306 and the content selected from each information for indexing, the semantically related content from each information source is the metadata and semantic index module 318 Using, can be indexed in the index database.

Figure 4a is a flow chart showing a method (400 _A) for dynamically indexed content from a plurality of information sources 104, in accordance with embodiments described herein. Various steps of the method _(A 400) are summarized in individual blocks. Method 400 _A and other descriptions described herein provide a basis for a control program that may be implemented using a microcontroller, microprocessor, or any computer readable storage medium.

In step 402 _A, method _(A 400) involves receiving information from a plurality of information sources (104). In one embodiment, content may be received from a plurality of information sources 104 based on user interests. In one embodiment, content may be received from user-specified information sources 104. In one embodiment, based on the popularity of the content, similar content from a plurality of information sources 104 may be received at the index server 102 using the crawler module 202. Method (400 _A) makes it possible to receive information from the index server 102 to a plurality of information sources (104).

In step 404 _A, method (400 _A) include those from each of the contents by performing semantic analysis, being received from a plurality of information sources (104) for the received content, to extract a first intent data. Method (400 _A) makes it possible to extract a first intent data related to content that is received from the query processing module 208, a plurality of information sources 104 in the semantic analyzer module 204. The first intent data includes metadata of content, content, and context data of content received from a plurality of information sources 104.

In step 406 _A, method (400 _A) include those to derive a plurality of data items associated with content received from each information source 104. Method (400 _A) by the semantic analyzer (306) extracts the first intent, makes it possible to derive a plurality of data items associated with content received from each information source 104. In step 408 _A, method (400 _A) include those to derive the degree of semantic similarity between a plurality of data items associated with content received from each information source 104. Method (400 _A) makes it possible to determine the degree of semantic similarity between the received content from the semantic analyzer module 304, analyzes the derived data items, a plurality of information sources (104).

In step 410 _A, method (400 _A) includes determining whether or not the degree of semantic similarity exceeds semantic threshold. Method (400 _A) makes it possible to determine whether the semantic analyzer module 204, the degree of the obtained semantic similarity exceeds a threshold semantics. When the degree of semantic similarity exceeds the semantic threshold, the semantic analyzer module 204 may determine that the content from each information source 104 is dynamically linked based on the extracted first intent data. . 412 will be in _A, method (400 _A) has includes receiving content from other sources of information.

In step 414 _A, method (400 _A) is, in response to the degree of semantic similarity is determined to be in excess of the semantic threshold, based on the extracted first intent data, to dynamically indexed content chronologically Includes that.

Consider an example in which information about a news event is received from a news service provider web page. The crawler module 202 may be configured to crawl web pages from content providers and provide them to the index server 102. Information received from the index server 102 is as follows:

Date: Aug 20, 2014

News 1 (A1): New Chief Minister Gurazat

News 2 (A2): Gangbang criminals hanged

News 3 (A3): Ducati announces new superbike at Autoexpo

Date: Aug 19, 2014

News 1 (B1): Narendra Modi resigns as Chief Minister of Gurazat

News 2 (B2): Massive flooding in Meghalaya

News3 (B3): Biocon announces 28% jump in quarterly profits

Date: Aug 16, 2014

News 1 (C1): BJP won overwhelmingly in election

News 2 (C2): announced on the 20th of gangbang sentencing

News 3 (C3): falling rubber prices

The index server 102 organizes the received content based on their creation time (chronological order), and performs a semantic search for the previously indexed content at time t-1. If the linked semantic content is not available at t-1, it may be configured to proceed to check indexes at t-2. If the linked content is available at t-1, the index stops at t-1 (this will be apparent from the example).

Taking the subject of elections, at t-2 the content is C1, at t-2 the content -> C1, and at t-1 the content -> B1.

Considering the subject of article A1 and the first intent data associated with it, the semantic analyzer module 204 may first search for content at t-1. Here, A1 will be searched for B1, B2, and B3. The semantic analyzer module 204 may determine that B1 and A1 have the maximum semantic link such that A1 is semantically linked with B1 and the link is stopped when the degree of semantic similarity exceeds the semantic threshold. Here, B1 may already be linked with C1. As a result, the indexed content may be A1-B1-C1.

Similarly, considering the subject of article A2 and the first intent data associated therewith, the semantic analyzer module may analyze the content at t-1 and determine that no semanticly linked content is available. Subsequently, the semantic analyzer module 204 may search for content at t-2 and perform a semantic match for C1, C2, and C3. From the list of received information, it can be seen that C2 is semantically related. Then, A2 will be linked to C2.

When the semantic analyzer module 204 analyzes the content in article A3, it may determine that no semantic linked content is available in both t-1 and t-2. Therefore, there is no indexing required for this article.

How the various actions, operations, block, step, etc. in the (400 _A), it can be performed in the order presented, in a different order or simultaneously. In addition, in some embodiments, some actions, actions, blocks, steps, and the like may be omitted, added, modified, or skipped without departing from the scope of the present invention.

Figure 4b is a flowchart (flowchart), it illustrates a method (400 _B) for providing a content index for the electronic device 106 according to embodiments described herein. The various steps of method 400 _B are summarized in separate blocks. Method 400 _B and other descriptions described herein provide a basis for a control program, which may be implemented using a microcontroller, microprocessor, or any computer readable storage medium.

In one embodiment, in step 402 _B, Method _(B 400) comprises a user in viewing the content using a browser of the electronic device 106. The method 600 enables the browser module 206 to render content on the user interface of the electronic device 106.

In step 404 _B, Method (400 _B) includes determining a plurality of data items available from the at least one object browsing by the user. Examples of data items may include a subject related to an object, an event, a content, a content, a word vector, a token, and context information, but are not limited thereto. Method (400 _B) makes it possible to determine a plurality of data items from the browsing at least one object by the user, the query processing module 208 of the electronic device 106,. The content of the word vector may be distributed according to a probability distribution. For example, one of the word vectors shown in the knowledge graph can be interpreted as treatment of a therapy disease using a magnetic material. The other word vectors, shown in the knowledge graph, can be interpreted as radiation-based disease treatment. Word vectors are subject, sub-topic; By linking keywords in the received content, contextual information on the intention of the user is provided.

In step 406 _B, Method (400 _B) includes performing a semantic analysis on a plurality of data items is determined. Method (400 _B) is to analyze the semantic analyzer module 304, the determined data entries, enables to extract the intent data associated with the data item within the object browsing by the user.

In step 408 _B, Method (400 _B) include those based on a semantic analysis to extract a second intent data related to at least one object. The second intent data may include metadata about an object browsed by a user, content, and context data about an object browsed by the user. Method (400 _B) makes it possible to semantic analyzer module 306 to extract a second intent data.

At 410 _B, Method (400 _B) comprises identifying the gesture performed by the user. Method 400 _B enables a user to perform a gesture based on indicia displayed on a web page. The markers provide an indication to the user on the web page that index content for the subject the user is viewing is available.

At 412 _B, Method _(B 400) involves the chronological provided in the indexed content on the electronic device 106. Method (400 _B) makes it possible that the contents are, on the basis of the gesture and the second intent data extraction performed by the user service on the electronic device 106. The indexed content from the index server 102 is provided on the electronic device 106 according to the identified user gesture.

The various actions, actions, blocks, steps, etc. in method 400 _B may be performed in the order presented, in a different order, or simultaneously. In addition, in some embodiments, some actions, actions, blocks, steps, and the like may be omitted, added, modified, or skipped without departing from the scope of the present invention.

5 is an example of a sparse semantic matrix representing information from a plurality of information sources 104 according to embodiments described herein. In one embodiment, FIG. 5 shows that semantically linked content from multiple sources is arranged in chronological order within a sparse semantic matrix. New online articles related to the 2014 elections in India have been extracted from information sources 104 such as Express India, Times of India, BBC.com, and Nyt.com. When a user loads a web page including articles and events related to the 2014 election in India, data items reflecting intent data for objects in the loaded web page may be extracted. Based on the semantic analysis of the data item, dynamically indexed content from the index server 102 may be transmitted to the browser of the electronic device 106. Marks of various content availability indicators may appear on the user's web page. Content may be provided to a user based on gestures performed on indicia related to content availability indicators. Examples showing indicia on a web page are shown in conjunction with FIGS. 8, 9, 10, and 11. In one embodiment, the user may select a list of information sources 104 for specific content. For example, in the case of content related to news events, the user may request the index server to provide content from various information sources 104 such as timesofindia.com, Express India, bbc.com, and the like. . In addition, the user may create a priority level for each information source 104.

6 is a flowchart illustrating a method 600 for providing indexed content on an electronic device using in-device information sources 104, in accordance with embodiments described herein.

In one embodiment, at step 602, method 600 includes the user viewing the content using a browser of electronic device 106. The method 600 enables the browser module 206 to render content on a user interface of the electronic device 106 in an offline mode.

In step 604, method 600 includes determining a plurality of data items available in at least one object browsed by the user. Examples of data items may include, but are not limited to, subject related to the object, event, content, content, word vector, token, and context information. The method 600 enables the query processing module 208 of the electronic device 106 to determine a plurality of data items in at least one object browsed by a user.

At step 606, method 600 includes performing semantic analysis on the plurality of determined data items. The method 600 enables the semantic analyzer module 304 to extract intent data related to the data items in the object browsed by the user by analyzing the determined data items.

In step 608, method 600 includes extracting intent data associated with at least one object based on the semantic analysis. The intent data may include metadata about an object browsed by a user, content, and context data of an object being browsed by the user.

At step 610, method 600 includes searching for the content of the plurality of information sources 104 based on the extracted intent data.

In step 612, method 600 includes deriving a plurality of data items related to the received content from each information source 104 present in electronic device 106. Method 600 enables semantic analyzer module 204 to derive a plurality of data items from content received from respective information sources 104 present in electronic device 106.

In step 614, the method 600 derives a degree of semantic similarity between each data item related to the content received from each information source 104 and the extracted intent data related to the at least one object browsed by the user. Includes paying. The method 600 enables the semantic analyzer module 204 to derive a degree of semantic similarity between the data items extracted from the information sources 104 and the intent data extracted from the browser.

At step 616, method 600 includes determining whether the degree of semantic similarity exceeds a semantic threshold. The method 600 enables the semantic analyzer module 204 to determine whether the derived degree of semantic similarity exceeds a semantic threshold. When the degree of semantic similarity exceeds the semantic threshold, the semantic analyzer module 204 says that the content from each information source 104 is semantically linked based on the extracted first intent data. You can decide.

At step 618, the method 600 includes dynamically indexing the content based on the extracted intent data in response to determining that the degree of semantic similarity exceeds the semantic threshold. The indexed content is provided on a user interface of the electronic device 106 based on a gesture received on the electronic device 106.

Consider an example where a user is listening to a multimedia recording. Based on gestures received on the content available indicia, related multimedia content may be presented to the user.

In one embodiment, content availability indicators may be used to provide semantically related communications. For example, while browsing an email, based on a gesture performed by a user on a content-available icon, semantically related emails present in the device may be provided.

The various steps for method 600 are summarized in separate blocks. The method 600 and other descriptions described herein provide a basis for a control program, which may be implemented using a microcontroller, microprocessor, or any computer readable storage medium.

7 is an exemplary view showing various operations performed by a user of the electronic device 106 and in the index server 102 to provide indexed content on the electronic device 106 according to embodiments described herein. Flowchart 700.

In one embodiment, in step 702, the index server 102 crawls the content from a plurality of information sources 104. In step 704, the semantic analyzer module 306 of the index server 102 extracts first intent data related to the content received from the plurality of information sources 104. In step 706, the semantic analyzer module 204 may be configured to index the content based on the extracted first intent data. In step 708, the electronic device 106 fetches a web page from one of the information sources 104. In step 710, the electronic device 106 extracts second intent data by performing semantic analysis on objects present in the fetched web page browsed by the user. In step 712, the extracted second intent data is transmitted to the index server 102. In step 714, the index server 102 may be configured to build a list of related index contents in chronological order in the index server 102. In step 716, the indexed content is prepared for the web page and transmitted to the electronic device 106 to receive user interactions.

8A and 8B are examples of a user interface in which previous news articles semantically linked to a current news article are provided to the electronic device 106 based on user interaction, according to embodiments described herein. . In FIG. 8, news articles related to the new Chief Minister Gurazat are provided on the user interface using the browser module 206 of the electronic device 106. At 802, the user performs a pull-down gesture on the content available icon. Based on the identified gesture, the index server 102 provides previous news articles from different sources of information 104, such as news that the current Chief Minister Gurazat has resigned from his position.

In one embodiment, when a user performs a slide gesture on an index content-available icon while browsing a document (e.g., an article), the link is semantically linked from other information sources 104 The documents may be provided on the electronic device 106 by the index server 102.

9 is an index content available index in a knowledge document (eg, an article) rendered by the browser module 206 of the electronic device 106, according to embodiments described herein. Content availability indicia) is an example of a user interface. In one embodiment, if the indexed content for the knowledge document web page is available at the index server 102, a plurality of index content availability indicators present in different locations of the web page may be displayed. These markings provide an indication to the user that the indexed content is available as documents related to the browsed knowledge document. Based on user gestures, indexed content may be provided on the user's electronic device 106.

10 is a diagram of a user interface showing a plurality of indexed content availability markers on a knowledge document (e.g., an article) when a user browses articles offline, according to embodiments described herein. This is an example. 10 shows marks for providing an indication to a user that semantically linked content is available within the device.

Examples of the information sources 104 of the electronic device 106 include device-memory, browser history data, the user's knowledge graph, a friend's electronic device, a friend's friend electronic device, a group electronic device, a departmental electronic device, and a community electronic device. Devices, company electronic devices, organizational electronic devices, customer management electronic devices, and expert electronic devices may be included, but are not limited thereto.

11A and 11B show a plurality of content availability markers present in a knowledge document (e.g., an article) displayed on a web page and an instruction document being browsed, according to embodiments described herein. These are examples of user interfaces that show representations in a tutorial built for. In FIG. 11A, two semantically linked documents from the same information sources 104 are shown in a split window in the user interface of the electronic device 106.

In one embodiment, the gesture (vertical swipe) shown at 1102 may be identified, and the index server 102 may be configured to provide documents preceding the current document from the same information source 104. In one embodiment, the gesture (vertical swipe) shown at 1104 may be identified, and the index server 102 may be configured to provide documents following the current document from the same information source 104. In one embodiment, the gesture (horizontal swipe) shown at 1106 may be identified, and the index server 102 may be configured to provide documents preceding the current document from different information sources 104. In one embodiment, the gesture (horizontal swipe) shown at 1108 may be identified, and the index server 102 may be configured to provide documents from different information sources 104 that follow the current document. In one embodiment, a combination of gestures performed at 1102 and 1106 may be configured to derive topics preceding the current document being browsed by the user. In one embodiment, a combination of gestures performed at 1104 and 1108 may be configured to derive topics that follow the current document being browsed by the user.

While the gestures described herein are primarily swipe-based gestures, it should be understood that embodiments of the present system and method are not limited to these gestures.

Further, in some embodiments, indicia indicating availability of content may be present in different colors. The color of the indicia can be configured to indicate the type of indexed content available.

12 illustrates a computing environment implementing a method and system for dynamically organizing content on a server and providing indexed content on an electronic device 106 according to embodiments described herein. As shown, the computing environment 1202 includes at least one processing unit 1204, a memory 1210, a storage unit 1212, and a clock equipped with a control unit 1206 and an Arithmetic Logic Unit (ALU) 1208. A chip 1214, a plurality of networking devices 1216, and a plurality of input/output (I/O) devices 1218 are included. The processing unit 1204 is responsible for processing the instructions of the algorithm. The processing unit 1204 receives instructions from the control unit 1206 and performs its processing. In addition, any logical and arithmetic operations related to the execution of the instructions are computed with the assistance of the ALU 1208. The entire computing environment 1202 may be comprised of multiple homogeneous or heterogeneous cores, multiple different types of CPUs, dedicated media, and other accelerators. The processing unit 1204 is responsible for processing the instructions of the algorithm. The processing unit 1204 receives instructions from the control unit 1206 and performs its processing. In addition, any logical and arithmetic operations related to the execution of the instructions are computed with the assistance of the ALU 1208. Also, a plurality of processing units may be located on a single chip or on multiple chips. The algorithm, including the instructions and codes necessary for this implementation, is stored in the memory unit 1210 or the storage 1212, or both. Upon execution, these instructions may be fetched from the corresponding memory 1210 or storage 1212 and executed by the processing unit 1204. The processing unit 1204 synchronizes operations based on the timing signals generated by the clock chip 1214 and executes the instructions. The embodiments disclosed in the present specification may be implemented through at least one software program that runs on at least one hardware device and controls components by performing network management functions. The components shown in FIGS. 1, 2, and 3 include blocks that may be at least one of a hardware device or a combination of a hardware device and a software module.

13 is a block diagram of an electronic device 1301 according to embodiments described herein.

The electronic device 1301 according to various embodiments of the present document includes, for example, a smartphone, a tablet personal computer, a mobile phone, a video phone, and an e-book reader (e- book reader), desktop personal computer (PC), laptop personal computer (laptop personal computer), netbook computer, workstation, server, personal digital assistant (PDA), portable multimedia player (PMP), MP3 It may include at least one of a player, a mobile medical device, a camera, or a wearable device. In some embodiments, the electronic device 1301 may be a home appliance. In another embodiment, the electronic device 1301 may include various medical devices, a navigation device, a global navigation satellite system (GNSS), an event data recorder (EDR), a flight data recorder (FDR), and a vehicle. Infotainment devices, marine electronic equipment (e.g. marine navigation equipment, gyro compasses, etc.), avionics, security equipment, vehicle head units, industrial or home robots, automatic ATMs (automatic) for financial institutions It may include at least one of a teller's machine), a point of sales (POS) of a store, or an internet of things.

According to some embodiments, the electronic device 1301 is a piece of furniture or a building/structure, an electronic board, an electronic signature receiving device, a projector, or various measuring devices. It may include at least one of (eg, water, electricity, gas, or radio wave measuring equipment). In various embodiments, the electronic device 1301 may be a combination of one or more of the aforementioned various devices. The electronic device 1301 according to some embodiments may be a flexible electronic device. In addition, the electronic device 1301 according to the embodiment of the present document is not limited to the above-described devices, and may include a new electronic device according to technological development.

The electronic device 1301 may include, for example, all or part of the electronic device 101 illustrated in FIGS. 1A to 1C. For example, the electronic device 1301 may include all or part of the components included in FIGS. 2 to 3. For example, all or part of the conveying elements included in FIGS. 2 to 3 may be included in the processor 1310 of the electronic device 1301.

The electronic device 1301 includes one or more processors (eg, an application processor (AP)) 1310, a communication module 1320, a subscriber identification module 1324, a memory 1330, a sensor module 1340, and an input device ( 1350), a display (1360), an interface (1370), an audio module (1380), a camera module (1391), a power management module (1395), a battery (1396), an indicator (1397), and a motor (1398). I can.

The processor 1310 may control a plurality of hardware or software components connected to the processor 1310 by driving an operating system or an application program, for example, and perform various data processing and operations. The processor 1310 may be implemented with, for example, a system on chip (SoC). According to an embodiment, the processor 1310 may further include a graphic processing unit (GPU) and/or an image signal processor. The processor 1310 may include at least some of the components shown in FIG. 13 (for example, the cellular module 1321). The processor 1310 may load and process commands or data received from at least one of other components (eg, nonvolatile memory) into a volatile memory, and store various data in the nonvolatile memory. have.

The communication module 1320 is, for example, a cellular module 1321, a WiFi module 1323, a Bluetooth module 1325, a GNSS module 1327 (eg, a GPS module, a Glonass module, a Beidou module, or a Galileo module). , NFC module 1328 and RF (radio frequency) module 1329 may be included.

The cellular module 1321 may provide, for example, a voice call, a video call, a text service, or an Internet service through a communication network. According to an embodiment, the cellular module 1321 may distinguish and authenticate the electronic device 1301 within a communication network using a subscriber identification module (eg, a SIM card) 1324. According to an embodiment, the cellular module 1321 may perform at least some of the functions that can be provided by the processor 1310. According to an embodiment, the cellular module 1321 may include a Communication Processor (CP).

Each of the WiFi module 1323, Bluetooth module 1325, GNSS module 1327, or NFC module 1328 may include, for example, a processor for processing data transmitted and received through a corresponding module. According to some embodiments, at least some (for example, two or more) of the cellular module 1321, the WiFi module 1323, the Bluetooth module 1325, the GNSS module 1327, or the NFC module 1328 are one integrated chip. (IC) or IC package.

The RF module 1329 may transmit and receive, for example, a communication signal (eg, an RF signal). The RF module 1329 may include, for example, a transceiver, a power amp module (PAM), a frequency filter, a low noise amplifier (LNA), or an antenna. According to another embodiment, at least one of the cellular module 1321, the WiFi module 1323, the Bluetooth module 1325, the GNSS module 1327, or the NFC module 1328 transmits and receives RF signals through a separate RF module. I can.

The subscriber identification module 1324 may include, for example, a card including a subscriber identification module and/or an embedded SIM (embedded SIM), and unique identification information (eg, integrated circuit card identifier (ICCID)) or Subscriber information (eg, international mobile subscriber identity (IMSI)) may be included.

The memory 1330 (for example, the memory 130) may include, for example, an internal memory 1332 or an external memory 1334. The built-in memory 1332 includes, for example, a volatile memory (eg, dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM)), a non-volatile memory (eg: OTPROM (one time programmable ROM), PROM (programmable ROM), EPROM (erasable and programmable ROM), EEPROM (electrically erasable and programmable ROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash), It may include at least one of a hard drive or a solid state drive (SSD).

The external memory 1334 is a flash drive, for example, compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (Mini-SD), and external memory (xD). digital), a multi-media card (MMC), or a memory stick. The external memory 1334 may be functionally and/or physically connected to the electronic device 1301 through various interfaces.

The sensor module 1340 may measure a physical quantity or detect an operating state of the electronic device 1301, and convert the measured or sensed information into an electrical signal. The sensor module 1340 is, for example, a gesture sensor 1340A, a gyro sensor 1340B, an atmospheric pressure sensor 1340C, a magnetic sensor 1340D, an acceleration sensor 1340E, a grip sensor 1340F, a proximity sensor ( 1340G), color sensor (1340H) (e.g. RGB (red, green, blue) sensor), biometric sensor (1340I), temperature/humidity sensor (1340J), illuminance sensor (1340K), or UV (ultra violet) ) It may include at least one of the sensors 1340M. Additionally or alternatively, the sensor module 1340 may include, for example, an E-nose sensor, an electromyography sensor, an electroencephalogram sensor, an electrocardiogram sensor. , An infrared (IR) sensor, an iris sensor, and/or a fingerprint sensor. The sensor module 1340 may further include a control circuit for controlling at least one or more sensors included therein. In some embodiments, the electronic device 1301 further includes a processor configured to control the sensor module 1340 as part of the processor 1310 or separately, while the processor 1310 is in a sleep state, The sensor module 1340 may be controlled.

The input device 1350 is, for example, a touch panel 1352, a (digital) pen sensor 1354, a key 1356, or an ultrasonic input device ( 1358). The touch panel 1352 may use at least one of, for example, a capacitive type, a pressure sensitive type, an infrared type, or an ultrasonic type. In addition, the touch panel 1352 may further include a control circuit. The touch panel 1352 may further include a tactile layer to provide a tactile reaction to a user.

The (digital) pen sensor 1354 may be, for example, a part of a touch panel or may include a separate sheet for recognition. The key 1356 may include, for example, a physical button, an optical key, or a keypad. The ultrasonic input device 1358 may detect ultrasonic waves generated by an input tool through a microphone (eg, the microphone 1388), and check data corresponding to the sensed ultrasonic waves.

The display 1360 (eg, the display 160) may include a panel 1362, a hologram device 1364, or a projector 1366. The panel 1362 may have the same or similar configuration as the display 160 of FIG. 1. The panel 1362 may be implemented to be flexible, transparent, or wearable, for example. The panel 1362 may also be configured with the touch panel 1352 as a single module. The hologram device 1364 may show a stereoscopic image in the air by using interference of light. The projector 1366 may display an image by projecting light onto a screen. The screen may be located inside or outside the electronic device 1301, for example. According to an embodiment, the display 1360 may further include a control circuit for controlling the panel 1362, the hologram device 1364, or the projector 1366.

The interface 1370 is, for example, a high-definition multimedia interface (HDMI) 1372, a universal serial bus (USB) 1374, an optical interface 1376, or a D-subminiature (D-sub). ) 1378 may be included. The interface 1370 may be included in the communication interface 170 illustrated in FIG. 1, for example. Additionally or alternatively, the interface 1370 is, for example, a mobile high-definition link (MHL) interface, a secure digital (SD) card/multi-media card (MMC) interface, or an infrared (IrDA) interface. data association) may include a standard interface.

The audio module 1380 may convert, for example, a sound and an electric signal bidirectionally. The audio module 1380 may process sound information input or output through, for example, a speaker 1382, a receiver 1384, an earphone 1386, or a microphone 1388.

The camera module 1391 is, for example, a device capable of photographing still images and moving pictures. According to an embodiment, one or more image sensors (eg, a front sensor or a rear sensor), a lens, an image signal processor (ISP) , Or flash (eg, LED or xenon lamp, etc.) may be included.

The power management module 1395 may manage power of the electronic device 1301, for example. According to an embodiment, the power management module 1395 may include a power management integrated circuit (PMIC), a charger integrated circuit (IC), or a battery or fuel gauge. The PMIC may have a wired and/or wireless charging method. The wireless charging method includes, for example, a magnetic resonance method, a magnetic induction method, or an electromagnetic wave method, and may further include additional circuits for wireless charging, such as a coil loop, a resonance circuit, or a rectifier. have. The battery gauge may measure, for example, the remaining amount of the battery 1396, voltage, current, or temperature during charging. The battery 1396 may include, for example, a rechargeable battery and/or a solar battery.

The indicator 1397 may display a specific state of the electronic device 1301 or a part thereof (for example, the processor 1310), for example, a booting state, a message state, or a charging state. The motor 1398 may convert an electrical signal into mechanical vibration, and may generate a vibration or a haptic effect. Although not shown, the electronic device 1301 may include a processing device (eg, a GPU) for supporting mobile TV. A processing device for supporting mobile TV may process media data according to standards such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or mediaFlo ^™ .

Each of the components described in this document may be composed of one or more components, and the name of the component may vary according to the type of electronic device. In various embodiments, the electronic device may include at least one of the elements described in this document, and some elements may be omitted or additional other elements may be further included. In addition, some of the components of the electronic device according to various embodiments of the present disclosure are combined to form a single entity, so that functions of the corresponding components before the combination may be performed in the same manner.

According to an embodiment, the electronic device 1301 may include a processor 1310 and a memory 1330 electrically connected to the processor. The memory may store instructions executed by the processor. According to one embodiment, when the instructions are executed, the processor 1310 performs semantic analysis of the contents of the electronic device 1301 to obtain intent data of the contents. The content may be extracted, indexed based on the extracted intent data, and indexed content may be provided based on a gesture input received from a user.

For example, the content may include at least one of communication, document (eg, article), or multimedia content. Communication may include information exchanged by the electronic device 1301 with another electronic device or a communication method with another electronic device. For example, communication may include at least one of a call record, a mail, and a message.

When the instructions are executed, the processor 1310 determines at least one data item related to at least one content of the electronic device 1301, performs a semantic analysis of the at least one data item, and based on the semantic analysis. Intent data related to at least one content may be extracted. For example, the data item may include a topic, event, subject, content, word vector, token, or context information related to content. have.

When the instructions are executed, the processor 1310 derives a degree of semantic similarity between intent data of each of at least one content, and when the degree of semantic similarity exceeds a preset semantic threshold, based on the intent data. At least one content can be indexed.

When the instructions are executed, the processor 1310 displays a content selected by a user and an indicia indicating that there is an indexed content related to the selected content, detects that a gesture input is received on the marker, and receives Indexed content related to the displayed content may be provided based on the displayed gesture input. According to an embodiment, the processor 1310 may provide indexed content based on a chronology or a topic. For example, the processor 1310 may search for indexed content related to the currently displayed content, and provide the indexed content generated or acquired before the content being displayed. Alternatively, indexed content generated or acquired later than the content being displayed may be provided. For example, the processor 1310 may provide indexed content in a manner corresponding to a gesture input received from a user. For example, when receiving a vertical swipe input to a mark, the processor 1310 may provide indexed content before or after chronologically according to the swipe direction. For example, when receiving a horizontal swipe input on a marker, the processor 1310 may provide content related to the content being displayed and of a different subject of the same type. The processor 1310 may provide other types of content related to the content being displayed.

According to an embodiment, the electronic device may receive web pages from information sources. The electronic device may receive content from information sources.

The electronic device may extract intent data related to at least one object included in the web page. The electronic device may transmit the extracted intent data to the server. The electronic device may receive a content list including at least one content index built on the basis of intent data from the server.

According to an embodiment, the content index may be a web page address for at least one information source. The content list includes an index number for at least one related content, a URL of the related content, a summary of the related content, a degree of semantic similarity between the related content and the specific content, domain metadata, metadata of the related content, and the related content. It may include at least one of images representing content. The intent data may include at least one of metadata of the object, content, and context data of the object.

According to an embodiment, the metadata may include at least one of a creation date, a content name, an author, and domain information corresponding to the object.

According to an embodiment, the electronic device may determine a plurality of data items available from the at least one object. The electronic device may perform semantic analysis on a plurality of determined data items. The electronic device may extract the intent data related to the object based on semantic analysis.

According to an embodiment, a plurality of data items include a topic, event, subject, content, word vector, token, and context information related to the object. It may include.

According to an embodiment, the word vector may represent information in which words related to the object are distributed according to a probability distribution with respect to at least one subject.

For example, web content (eg, web page) may be composed of one or more topics. Each subject may consist of a set of words. For example, each word may have a probability value for a subject. For example, even when the same word is included in a plurality of subjects, the probability of the word being included in each subject may be different. For example, apples may be related to both fruit or health topics, but they may be more likely to be included in fruit topics. According to an embodiment, the electronic device may perform semantic analysis in consideration of both a pattern of a word and a pattern of a possibility of a word.

According to an embodiment, the electronic device may determine whether there is content related to objects included in a web page being displayed based on the received content list. Based on the determination result, the electronic device may display a mark indicating the existence of the related content together with the object. The electronic device may receive a user input on at least one displayed mark. The electronic device may provide content related to an object corresponding to the mark that has received the user input based on the user input.

According to an embodiment, the electronic device may receive and display a web page for content semantically related to the object from the information sources based on a user's input.

According to an embodiment, the electronic device may provide at least one related content related to an object in chronological order based on a user input.

According to an embodiment, an electronic device (eg, a server) may receive intent data for a specific content from an external electronic device (eg, a terminal). The server may generate a content list including a content index for at least one related content related to the specific content, based on the received intent data. The server may transmit the generated content list to an external electronic device.

According to an embodiment, the server may generate a content list by indexing the at least one related content in chronological order.

14 is a flowchart of a method for providing content by an electronic device according to embodiments described in the present specification.

In operation 1410, the electronic device may determine at least one data item related to at least one content of the electronic device. For example, the content may include at least one of communication, document (eg, article), or multimedia content. For example, communication may include at least one of a call record, a mail, and a message. For example, the content may be in-device content. For example, when generating or obtaining new content, the electronic device may determine a data item for the generated or acquired content. For example, the electronic device may determine a data item for the selected content according to a user's input.

In operation 1420, the electronic device may perform semantic analysis of at least one data item. In operation 1430, the electronic device may extract intent data related to at least one content based on semantic analysis.

In operation 1440, the electronic device may derive a degree of semantic similarity between intent data of each of at least one content. In operation 1450, the electronic device may determine whether the semantic similarity exceeds a preset semantic threshold. The electronic device may perform operation 1460 when the semantic similarity exceeds the semantic threshold, and may perform operation 1410 when the semantic similarity is less than or equal to the semantic threshold.

In operation 1460, when the degree of semantic similarity exceeds a preset semantic threshold, the electronic device may index at least one content based on the intent data.

In operation 1470, the electronic device may display content selected by a user and an indicia indicating that there is indexed content related to the selected content. For example, the electronic device may receive an input for selecting a specific content inside the electronic device from a user. The electronic device may display selected content according to a user's input. When there is indexed content related to the selected content, the electronic device may display a mark together with the selected content.

In operation 1480, the electronic device may receive a gesture input from a user on the displayed mark. The electronic device may perform operation 1490 when receiving the gesture input, and may perform operation 1470 when not receiving the gesture input.

In operation 1490, the electronic device may provide indexed content related to the displayed content based on the received gesture input. According to an embodiment, the electronic device may provide indexed content in a manner corresponding to a gesture input received from a user. For example, the electronic device may provide content indexed on a chronology based or topic based basis. According to an embodiment, the electronic device may provide indexed content corresponding to a gesture input received from a user.

According to various embodiments of the present invention, the server may continuously crawl content and create and maintain indexes of the crawled content. According to an embodiment, the server may fetch content from a plurality of domains. For example, domains may be selected arbitrarily or based on a selection criterion such as a URL of a given seed domain, or based on a content provider. The server may temporarily fetch and store the content.

After loading the URL, the electronic device may extract an intent vector (eg, word distributions) and metadata from the content and transmit it to the server. According to an embodiment, the electronic device may transmit a URL to a server, and the server may extract the latent vector and metadata.

The server can use the data acquired from the client as query characteristics, and search within a computed index. The server may generate a list of contents including a set of URLs arranged chronologically from a plurality of domains. The server may transmit the generated list to the electronic device.

The electronic device may apply a list (eg, a matrix of URLs) received from a server to the rendered URL to provide semantic-based web browsing.

The foregoing description of specific embodiments will sufficiently represent the general characteristics of the embodiments of the present invention, and other matters are easy within the range not deviating from the general concept by applying the current knowledge. May be modified or adapted to various applications for such specific embodiments. Accordingly, such adaptations and modifications are to be understood as being within the meaning and scope equivalent to the embodiments of the present invention, and such is intended. It should be understood that the expressions or terms used herein are for description and not limitation. Accordingly, although embodiments of the present invention have been described in terms of preferred embodiments, those skilled in the art will recognize that embodiments of the present invention may be modified and practiced within the spirit and scope of the embodiments described herein.

Claims (30)

In a method of providing an object of an electronic device,
Receiving web pages from information sources;
Displaying a web page including at least one object among the web pages;
Extracting intent data related to the at least one object;
Transmitting the extracted intent data to a server; And
And receiving a content list including a content index determined based on the intent data from the server,
The intent data includes at least one word vector representing information of a probability distribution determined based on a word related to the at least one object on at least one subject,
The content index is indexed based on the at least one word vector and includes at least one address of the content related to the at least one object or at least one web page including the content.
The method of claim 1, wherein the content index
A method, characterized in that the web page address for at least one information source.
The method of claim 1, wherein the content list
An index number for the content related to the at least one object, the URL of the content, the summary of the content, the degree of semantic similarity between the content and a plurality of data items related to the content, domain metadata, metadata of the content, And at least one of images representing the content.
The method of claim 1, wherein the intent data is
And at least one of metadata of the at least one object, content corresponding to the at least one object, and context data of the at least one object.
The method of claim 1, wherein the extracting the intent data comprises:
Determining a plurality of data items available in the at least one object;
Performing semantic analysis on the determined plurality of data items; And
And extracting the intent data related to the at least one object based on the semantic analysis.
The method of claim 5, wherein the plurality of data items
A method comprising: a topic, an event, a subject, a content, a token, and context information related to the at least one object.
delete The method of claim 1,
Determining whether there is content related to at least one object included in the web page based on the content list;
Displaying a mark indicating that the related content is present together with a corresponding object based on the determination result;
Receiving a user input from the at least one indicia; And
Based on the user input, the method further comprising providing content related to the object corresponding to the mark received the user input.
The method of claim 8, wherein the providing of the related content
And receiving and displaying a web page for content semantically related to the object from the information sources, based on the user's input.
The method of claim 8, wherein the providing of the related content
And providing at least one content related to the at least one object in chronological order based on the user input.
The method of claim 4, wherein the metadata is
And at least one of a creation date, a content name, an author, and domain information corresponding to the at least one object.
In the content providing method of an electronic device,
Receiving intent data related to at least one object from an external electronic device;
Generating a content list including a content index for at least one content related to the at least one object based on the received intent data; And
And transmitting the generated content list to the external electronic device,
The intent data includes at least one word vector representing information of a probability distribution determined based on a word related to the at least one object on at least one subject,
The content index is indexed based on the at least one word vector, and includes at least one address of the content related to the object or at least one web page including the content.
The method of claim 12, wherein the content index
A method, characterized in that it is a web page address for at least one information source.
The method of claim 12, wherein the content list
An index number for the content related to the at least one object, the URL of the content, the summary of the content, the degree of semantic similarity between the content and a plurality of data items related to the content, domain metadata, metadata of the content, And at least one of images representing the content.
The method of claim 12, wherein the content list
And generating the at least one content by indexing in chronological order.
In the electronic device,
Processor; And
And a memory electrically connected to the processor,
The memory, when executed, the processor
Receive web pages from information sources,
Display a web page including at least one object among the web pages,
Extracting intent data related to the at least one object,
Transmit the extracted intent data to the server,
Store instructions for receiving a content list including a content index determined based on the intent data from the server,
The intent data includes at least one word vector representing information of a probability distribution determined based on a word related to the at least one object on at least one subject,
The content index is indexed based on the at least one word vector, and includes at least one address of the content related to the object or at least one web page including the content.
The method of claim 16, wherein the content index
Electronic device, characterized in that the web page address for at least one information source.
The method of claim 16, wherein the content list
An index number for the content related to the at least one object, the URL of the content, the summary of the content, the degree of semantic similarity between the content and a plurality of data items related to the content, domain metadata, metadata of the content, An electronic device comprising at least one of images representing the content.
The method of claim 16, wherein the intent data is
An electronic device comprising at least one of metadata of the at least one object, content corresponding to the at least one object, and context data of the at least one object.
The method of claim 16, wherein the instructions, the processor,
Determining a plurality of data items available in the at least one object,
Perform semantic analysis on the determined plurality of data items,
And extracting the intent data related to the at least one object based on the semantic analysis.
The method of claim 20, wherein the plurality of data items
An electronic device comprising: topic, event, subject, content, token, and context information related to the at least one object.
delete The method of claim 16, wherein the instructions, the processor
Based on the received content list, it is determined whether there is content related to at least one object included in the web page,
Based on the determination result, a mark indicating the existence of the related content is displayed together with the object,
Receiving a user input from the at least one marker,
And providing content related to an object corresponding to a mark on which the user input is received, based on the user input.
The method of claim 23, wherein the instructions, the processor,
And receiving and displaying a web page for content semantically related to the object from the information sources based on the user input.
The method of claim 23, wherein the instructions, the processor,
And providing at least one content related to the at least one object in chronological order based on the user input.
The method of claim 19, wherein the metadata is
An electronic device comprising at least one of a creation date, a content name, an author, and domain information corresponding to the at least one object.
In the electronic device,
Processor; And
And a memory electrically connected to the processor,
The memory, when executed, the processor
Receiving intent data related to at least one object from an external electronic device,
Generates a content list including a content index for at least one content related to the at least one object, based on the received intent data,
Store instructions for transmitting the generated content list to the external electronic device,
The intent data includes at least one word vector representing information of a probability distribution determined based on a word related to the at least one object on at least one subject,
The content index is indexed based on the at least one word vector, and includes at least one address of the content related to the object or at least one web page including the content.
The method of claim 27, wherein the content index
Electronic device, characterized in that the web page address for at least one information source.
The method of claim 27, wherein the content list
An index number for the content related to the at least one object, the URL of the content, the summary of the content, the degree of semantic similarity between the content and a plurality of data items related to the content, domain metadata, metadata of the content, An electronic device comprising at least one of images representing the content.
The method of claim 27, wherein the content list
And generating the at least one content by indexing in chronological order.

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