CN101075320A - System and method for issuing and inquiring information - Google Patents
System and method for issuing and inquiring information Download PDFInfo
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- CN101075320A CN101075320A CNA2006100607005A CN200610060700A CN101075320A CN 101075320 A CN101075320 A CN 101075320A CN A2006100607005 A CNA2006100607005 A CN A2006100607005A CN 200610060700 A CN200610060700 A CN 200610060700A CN 101075320 A CN101075320 A CN 101075320A
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Abstract
An issuing and querying system of information comprises terminal for providing advertisement information or query request, matching server for receiving request from terminal and for calculating correlation degree of terminal request to advertisement information bank as well as for generating matched result according to correlation degree, advertisement information bank for storing information in text content and structure information mode. Its issuing and querying method is also disclosed.
Description
Technical field
The present invention relates to information issue, inquiry system, more particularly, relate to a kind of classified advertisement information information issue, inquiry system and method for coupling automatically of realizing.
Background technology
Classified advertisement information is the very important a kind of advertisement forms of traditional media such as newspaper, magazine always, because its content is closely related with people's daily life, therefore is subjected to reader's extensive welcome.But because the inherent characteristics of traditional media, make classified advertisement information be difficult to satisfy people's needs at real-time, aspect such as interactive.Along with popularizing of internet, and the develop rapidly of value-added telecom services, people can issue and inquire about ECA Electronic Classified Advertising information timely by internet or SMS, and ECA Electronic Classified Advertising information has obtained more and more people's favor.
Classified advertisement information on the internet exists on the Web page with written form mostly.Classified advertisement information generally all is to be made of several different information points, and dissimilar advertising messages has different information points, and these information points have determined classified advertisement information can convert one group of structurized information to.Classified advertisement information has two kinds of forms of expression on the Web page: the one, provide with the form of form, and structural information is embodied on the Html mark; The 2nd, provide with the natural language form, information point is included in the natural language.The form of form is convenient to inquiry, but only is applicable on the internet, is not suitable for value-added telecom services such as note.The natural language formal representation is flexible, and environment for use is not limit, but need carry out the language analysis and the extraction of intelligence.
The inquiry of classified advertisement information has three kinds of methods: the one, enter corresponding website, and the input inquiry keyword checks that return results is to seek answer; The 2nd, utilize existing search engine, such as Google, Baidu etc., the input keyword is inquired about; The 3rd, by service code, connect the corresponding contents provider of value-added telecom services.These three kinds of methods cut both ways, and the advantage of first method is that the information that inquiry obtains all is the classified advertisement of respective classes, and its shortcoming is that the information between the different web sites is not shared, for same inquiry need be filled in different search requests in different websites.The advantage of second method is that these search engines all have certain popularity, only need once enter, its shortcoming is that existing search generally is a Webpage search, and its Search Results can not provide structured message, comprise a large amount of rubbish pages, seeking answer wastes time and energy.The advantage of the third method is that to seek answer efficient and convenient, and its shortcoming is that value-added telecom services substantially all are to finish by service code, and service code is not easy to memory, not inquiry intelligent not high, and quantity of information is limited.
Summary of the invention
The technical problem to be solved in the present invention is, at the above-mentioned defective of prior art, provides a kind of information issue, inquiry system and method, utilizes the natural language analysis technology to carry out intelligent extraction, correlation calculations, thereby realization classified advertisement information is mated automatically.
The technical solution adopted for the present invention to solve the technical problems is: construct a kind of information issue, inquiry system, this system comprises terminal, match server and advertising message storehouse,
Described terminal is used to submit to the advertising message of issue or the request of inquiry;
Described match server is used for the receiving terminal request, and terminal request is carried out intellectual analysis, and according to the degree of association between request of analysis result computing terminal and the advertising message storehouse, and according to degree of association generation matching result; And
Described advertising message storehouse is used for information is stored with textual form and version.
In system of the present invention, described match service implement body comprises Advertisement Server, analysis engine and matching engine,
Described Advertisement Server is responsible for the foundation in advertising message storehouse, the management and the user interface in advertising message storehouse;
Described analysis engine is responsible for the advertising message that the user submits to is carried out intellectual analysis, converts advertising message to advertisement structure; And
Described matching engine, be responsible between computing terminal request and the advertising message storehouse the degree of association and according to degree of association generation matching result.
In system of the present invention, described analysis engine adopts the form of template to realize the human-computer interaction extraction at the advertising message that marks structure with Html; At the advertising message of natural language statement, adopt semantic analysis technology, carry out the semantic attribute cutting automatically, and semantic attribute is corresponded on the project of advertisement structure framework, realize extracting automatically.
In system of the present invention, described matching engine has realized the semantic matches of attribute and property value, has broken away from keyword and has accurately mated the loss of being brought.
In system of the present invention, the similarity of described matching engine combines the result of logical operation, relational calculus, semantic matches,
The project of time, numeral, place, keyword is carried out the logical operation coupling to be calculated;
The project of region, digital scope, time range is carried out the relational calculus coupling to be calculated;
The project of semantic attribute being carried out the semantic matches of attribute and property value calculates.
In system of the present invention, described Advertisement Server is by the nature semantic analysis technology, provide structuring and non-structured classified advertisement information issue, inquire about incorporate service, and further realized interconnecting of modes such as the Web page, RSS, note, WAP.
A kind of information issue, querying method are containing advertising message by match server with the advertising message stock that internet or service provider link to each other, and may further comprise the steps:
S1. described match server receives the request that terminal is submitted advertising message issue or inquiry to;
S2. the degree of association between request of described match server computing terminal and the advertising message storehouse also generates matching result according to the degree of association;
S3. described matching result is returned described terminal.
In method of the present invention, before carrying out described step S1, further comprise:
The form of presentation of the request of S01. selecting to submit the advertising message issue to or inquiring about, described form of presentation specifically comprise structuring statement and natural language statement;
S02. customize the mode of return results, described echo plex mode specifically comprises with the Web page, XML packet, instant messaging or message reply mode and returning.
In method of the present invention, before carrying out described step S2, further comprise: described request is carried out intellectual analysis, specifically comprise:
Extract the classification of described advertising message;
Analyze the form of described advertising message, comprise natural language form and Html form;
If natural maxim form is then analyzed the natural language in the advertising message; If the Html form then extracts Html page structure information;
Extract advertisement structure information.
In method of the present invention, the degree of association between described computing terminal request and the advertising message storehouse specifically may further comprise the steps:
S21. the type of advertising message is mated calculating;
S22. each project in the structural framing of advertising message is mated calculating, specifically comprises:
The project of time, numeral, place, keyword is carried out the logical operation coupling to be calculated;
The project of region, digital scope, time range is carried out the relational calculus coupling to be calculated;
The project of semantic attribute being carried out the semantic matches of attribute and property value calculates;
S23. export matching result according to the height ordering of the degree of association.
The invention has the beneficial effects as follows, can integrate the classified advertisement resource effectively, the releasing inquiry service of " one-stop " is provided for the user, and the semantic matches of realization attribute and property value, break away from keyword and accurately mated the loss of being brought, similarity combines the result of logical operation, relational calculus and semantic matches, makes that coupling is more accurate.
Description of drawings
The invention will be further described below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is the synoptic diagram of information issue of the present invention, inquiry system;
Fig. 2 is the process flow diagram of information issue of the present invention, querying method;
Fig. 3 is the synoptic diagram of the Advertisement Server in the match server of the present invention;
Fig. 4 is the process flow diagram of the analysis engine in the match server of the present invention;
Fig. 5 is the process flow diagram of the matching engine in the match server of the present invention.
Embodiment
Fig. 1 is the synoptic diagram of information issue of the present invention, inquiry system, as shown in the figure.A kind of information issue, inquiry system comprise: terminal, match server 12 and advertising message storehouse 15 (i.e. advertisement base among the figure 15); Described terminal is used for issue, Query Information; Described match server 12 is used for the degree of association between computing terminal request and the advertising message storehouse 15, realizes automatically coupling and to the terminal return results; Described advertising message storehouse 15 is used for advertising message is stored with the form of advertisement and advertisement structure as the storer of system.Below specific description is carried out in terminal, match server 12 and advertising message storehouse 15.
Terminal issue, Query Information include but not limited to following two kinds of forms:
First kind, user 16 can or submit information inquiring request to from computing machine 13 issue classified advertisement information, and is connected to match server 12 by internet 10.
Second kind, user 16 also can utilize mobile communication equipment 14 issue classified advertisement information or submit information inquiring request to, and is sent to match server 12 by value-added telecom services service provider 11.
1) receives the advertising message of user's issue or the query requests that the user submits information to;
2) (" Web Spider ", formal name used at school Spider are auto-programmings, automatically search information in the internet to utilize Web Spider.The mode of a typical Web Spider job is checked a page exactly, and therefrom finds relevant information, and then from all-links of this page, continue to seek relevant information, by that analogy, until limit) initiatively go specified sites to grasp advertising message;
3) be in charge of advertising message storehouse 15.The advertisement that Advertisement Server 19 will receive or grab is stored in the advertising message storehouse 15 with the form of advertisement 21, and calls analysis engine 18 and extract advertisement structure 20 from advertisement 21, is stored in simultaneously in the advertising message storehouse;
4) behavior of being responsible for the Web Spider program (grasping level, update strategy etc.) is configured and manages;
5) be responsible for the customized management of echo plex mode as a result to the user, echo plex mode can be the Web page, message reply, RSS polymerization methods etc.;
6) matching result of matching engine 18 will return in the mode of customization by the Advertisement Server 19 generation Web pages or XML packet.
The query requests that user 16 submits to by computing machine 13 or mobile communication equipment 14 is submitted to match server 12, and match server 12 calls 17 pairs of requests of analysis engine and analyzes, and extracts structured message R wherein; Matching engine 18 is the relevance between the advertisement structure 20 in automatic computing information R and the advertising message storehouse 15, and generates matching result according to the degree of association.Matching result will return to user 16 by the Web Service of Advertisement Server.
Fig. 2 is the process flow diagram of information issue of the present invention, querying method, as shown in the figure.With the Web page or RSS polymerization methods releasing advertisements or submission query requests, its treatment scheme is as follows by computing machine 13 for user 16:
In the step 51, the first-selected form of presentation of selecting can have two kinds of selective modes, and the one, structuring statement, the 2nd, natural language statement;
In the step 52, if the choice structure statement then continues to select the advertisement classification, and the automatic advertisement structure that generates of fill system;
In the step 53,, then use its request of natural language description if select natural language;
In the step 54, customization return results mode, echo plex mode can be the Web page, XML packet etc. under this flow process;
In the step 55, judge whether to issue this advertising message in this way, then this advertising message can be matched by other people;
Above-mentioned steps 54,55 will be as user behavior information, and above-mentioned steps 52 or 53 content constitute user's request jointly as ad content;
In the step 56, match server 12 is submitted in above-mentioned user's request;
In the step 57, match server 12 calculates the degree of association in user request and the advertising message storehouse 15, and the highest top n result of the degree of association is formed the advertisement of coupling, and this result of advertisement of mating is returned to the user in the customization mode.
In the step 51, the system default form of presentation is the natural language statement;
In the step 53, with its request of natural language description;
In the step 54, system default return results mode is instant messaging or message reply;
In the step 55, system default is not for issuing;
In the step 56, match server 12 is submitted in above-mentioned user's request;
In the step 57, match server 12 calculate users ask 56 and advertising message storehouse 15 in the degree of association, and the highest top n result of the degree of association formed the advertisement of coupling, and this result 7 of advertisement of coupling returned to the user with instant messaging or message reply mode.
Fig. 3 is the synoptic diagram of the Advertisement Server in the match server of the present invention, as shown in the figure.Advertisement Server 19 comprises three partial functions: the one, and the foundation in advertising message storehouse 15; The 2nd, the management in advertising message storehouse 15; The 3rd, user interface.
1) be that Advertisement Server 19 calls Web Spider 71, advertising message on the internet 10 is grasped automatically, the advertisement that extracting obtains, to directly be saved in the advertising message storehouse 15 with the form of advertisement 21, the result of extracting comprises: issuing time, entry time, original link (URL), the term of validity, ad content snapshot etc.The behavior of grasping 72 pairs of Web Spider 71 of manager manages and is provided with, can be to the degree of depth, the scope that grasps, and the initial link of extracting, the type of extracting (static page, JSP, ASP dynamic page) is provided with.Simultaneously parameters such as scan period, dead chain sense cycle are managed;
2) be the advertisement of user 16 by 74 issues of ad distribution device, these advertisements will directly be saved in the advertising message storehouse 15 with the form of advertisement 21, mainly comprise: issuing time, entry time, the term of validity, ad content etc.
The management in advertising message storehouse 15 mainly comprises three big functions:
1) be the data base administration and the maintenance in advertising message storehouse 15, new advertisement 21 be increased in the advertising message storehouse 15, to surpass the term of validity or network on dead chain corresponding advertising content 21 from the advertising message storehouse, delete, delete the advertisement structure 20 of 21 correspondences simultaneously;
2) be regularly to call analysis engine 17, the new advertisement in the advertising message storehouse 15 21 analyzed be extracted into advertisement structure 20, realize the data sync of inside, advertising message storehouse;
3) be that advertisement structure 20 is set up index, with convenient coupling.Index structure is based on inverted index table.
User interface realizes that the user is to functions such as the issue of advertisement, inquiry, customizations.
Users to release advertisement.By ad distribution device 74, the user fills in information such as the classification, particular content, time, place of advertisement, and after the submission, distributor will be preserved information automatically to advertising message storehouse 15.Simultaneously, user's information releasing also will be published on the corresponding webserver.
The user inquiring advertisement.By ad distribution device 74, the user fills in searching keyword or fills in information such as the classification of advertisement, particular content, time, place, after the submission, to call matching engine 18 by Advertisement Server 70 and carry out information matches, the result that matching engine is returned, according to sequencing of similarity, and carry out packing data by maker 75 as a result, return to user 16 in the mode of customization with forms such as XML, RSS, plain texts.
The customization function.By customization interface 73, the user can customize issue, inquiry, behavior such as echo plex mode as a result, and the information of customization will be managed by user behavior manager 76.The customization of issue can select only to be published to this website, also can select to be published to other alliance website.The customization of inquiry mainly is the customization of inquiry mode, can select also can select the mode with interstitital texture information with the inquiry of natural language form.The customization of echo plex mode as a result can select RSS to return, note is returned etc.
Fig. 4 is the process flow diagram of the analysis engine in the match server of the present invention, as shown in the figure.Analysis engine 17 is responsible for advertisement 21 is converted to advertisement structure 20.The treatment scheme of analysis engine 17 is as follows:
In the step 101, extract the classification of advertisement 21.Advertisement structure information 20 is closely related with the advertisement classification, and different classifications has different structural informations, and other identification of commercial paper is the prerequisite that advertisement is analyzed.Classification is extracted two kinds of approach:
1) is the link attribute of webpage.All there is the split catalog of oneself each website, and these directory informations can be embodied on its chained address, analyzes the classification that its chained address can obtain information;
2) be according to the semantic information in the advertisement, extract automatically, generally can occur similar notions such as " rent a house, hire out, one Room, a Room " such as " renting a house ", can conclude its classification from these features are conceptive.After classification is determined, system 100 will generate such other advertising message structural framing automatically.
In the step 102, analyze the form of advertisement 21.With the advertisement of form web page statement, can be the structured message that provides with the Html mark, also can be natural language information; The advertisement that the user submits to by note, RSS etc. all is the natural language form generally.Analyze advertising format and determine that the expression mode of advertisement is a natural language, still the structured message that marks with Html.The former will turn to step 104, and the latter will turn to step 103;
In the step 103, extract Html page structure information.Information extraction the Html mark from webpage, and fill such other advertising message framework.In this step, a visualization interface will be provided, wherein the extraction template can be set, template is responsible for the information of diverse location on the page is filled in the different framework projects.By template can human-computer interaction ground the page of the different-style of various websites is extracted;
In the step 104, analyze the nature semanteme.Automatically analyze the natural language in the advertisement, analyze, wherein semantic attribute is carried out cutting from chapter, paragraph, sentence, 4 levels of word.For example, " self-description " and " object factory " in the advertising message of friend-making, arranged generally, this need analyze at chapter and paragraph one-level; Also have description simultaneously to people's base attribute, height, individual character, educational background etc., this analyzes in the sentence one-level; Words such as " personality, lovely, tendernesses " all is this attribute of expression personality, and this analyzes in the word one-level;
In the step 105, extract advertisement structure information.From the result that above-mentioned steps 104 is analyzed,, extract key message wherein and fill it in the correspondent advertisement message structure framework project according to the division of semantic attribute.For example, base attributes such as age, height, body weight, and semantic attribute such as personality, moral standing.
Fig. 5 is the process flow diagram of the matching engine in the match server of the present invention, as shown in the figure.
In the step 201, advertisement structure information (being above-mentioned structured message R) is input in the matching engine 18.Similarity between the advertisement structure information 20 that matching engine 18 is calculated in advertisement structure information R and the advertising message storehouse 15, its output is that matching result is the subclass of the advertisement structure information 20 in the advertising message storehouse 15 according to the matching result of similarity (being the degree of association) height ordering.
The treatment scheme of matching engine 18 is as follows:
In the step 202, carry out the adline coupling.Type decided advertising message framework, type matching is a prerequisite.If type does not match, then do not carry out next step operation;
In the step 203, the advertisement structure data type is judged, and each project in the advertisement structure information framework is mated:
If to projects such as time, numeral, place, keywords, carry out the logical operation coupling, then execution in step 204;
If to projects such as time range, digital scope, regions, carry out the relational calculus coupling, then execution in step 205;
If to semantic attribute, need carry out the semantic matches of attribute and property value, then execution in step 206.
In the step 204,, carry out the logical operation coupling to projects such as time, numeral, place, keywords.Generally each project itself is accurately mated, carry out the logical and operation between the project;
In the step 205,, carry out the relational calculus coupling to projects such as time range, digital scope, regions.Relational calculus comprises: scale relationships, syntople, the relation of coexisting etc.Scale relationships is generally carried out extended operation earlier, and then the bound of difference matching range;
In the step 206,, need carry out the semantic matches of attribute and property value to semantic attribute.Such as: people's " personality " is people's a attribute, and " lovely " is its property value, and certain degree of association is arranged between " lovely " and " personality ";
In the step 207, according to the similarity between the advertisement structure information 20 in advertising message structure that calculates and the advertising message storehouse 15, according to the output matching result that similarity just sorts, matching result is the subclass of the advertisement structure information 20 in the advertising message storehouse 15.
Comprise three kinds of matching operations at matching engine 18, calculating formula of similarity is defined as follows:
1) accurately mates, at basic data types such as time, numeral, keywords.Accurately the coupling weights are 1;
2) relational calculus coupling is at information such as region, digital scope, time ranges.Relationship match is got 0,1 two-value, and the match is successful gets 1, and failure gets 0;
3) semantic matches needs the information of mating between attribute and the property value at some.Semantic attribute coupling weights are 0.5;
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (10)
1, a kind of information issue, inquiry system is characterized in that this system comprises terminal, match server and advertising message storehouse,
Described terminal is used to submit to the advertising message of issue or the request of inquiry;
Described match server is used for the receiving terminal request, and terminal request is carried out intellectual analysis, and according to the degree of association between request of analysis result computing terminal and the advertising message storehouse, and according to degree of association generation matching result; And
Described advertising message storehouse is used for information is stored with textual form and version.
2, the system as claimed in claim 1 is characterized in that, described match service implement body comprises Advertisement Server, analysis engine and matching engine,
Described Advertisement Server, be responsible for the foundation in advertising message storehouse, the management and the user interface in advertising message storehouse:
Described analysis engine is responsible for the advertising message that the user submits to is carried out intellectual analysis, converts advertising message to advertisement structure; And
Described matching engine, be responsible between computing terminal request and the advertising message storehouse the degree of association and according to degree of association generation matching result.
3, system as claimed in claim 2 is characterized in that, described analysis engine adopts the form of template to realize the human-computer interaction extraction at the advertising message that marks structure with Html; At the advertising message of natural language statement, adopt semantic analysis technology, carry out the semantic attribute cutting automatically, and semantic attribute is corresponded on the project of advertisement structure framework, realize extracting automatically.
4, system as claimed in claim 2 is characterized in that, described matching engine has realized the semantic matches of attribute and property value, has broken away from keyword and has accurately mated the loss of being brought.
5, system as claimed in claim 2 is characterized in that, the similarity of described matching engine combines the result of logical operation, relational calculus, semantic matches,
The project of time, numeral, place, keyword is carried out the logical operation coupling to be calculated;
The project of region, digital scope, time range is carried out the relational calculus coupling to be calculated;
The project of semantic attribute being carried out the semantic matches of attribute and property value calculates.
6, system as claimed in claim 2, it is characterized in that, described Advertisement Server is by the nature semantic analysis technology, provide structuring and non-structured classified advertisement information issue, inquire about incorporate service, and further realized interconnecting of modes such as the Web page, RSS, note, WAP.
7, a kind of information issue, querying method containing advertising message by match server with the advertising message stock that internet or service provider link to each other, is characterized in that, may further comprise the steps:
S1. described match server receives the request that terminal is submitted advertising message issue or inquiry to;
S2. the degree of association between request of described match server computing terminal and the advertising message storehouse also generates matching result according to the degree of association:
S3. described matching result is returned described terminal.
8, method according to claim 7 is characterized in that, further comprises before carrying out described step S1:
The form of presentation of the request of S01. selecting to submit the advertising message issue to or inquiring about, described form of presentation specifically comprise structuring statement and natural language statement;
S02. customize the mode of return results, described echo plex mode specifically comprises with the Web page, XML packet, instant messaging or message reply mode and returning.
9, method according to claim 7 is characterized in that, further comprises before carrying out described step S2: described request is carried out intellectual analysis, specifically comprise:
Extract the classification of described advertising message;
Analyze the form of described advertising message, comprise natural language form and Html form;
If natural maxim form is then analyzed the natural language in the advertising message; If the Html form then extracts Html page structure information;
Extract advertisement structure information.
10, method according to claim 7 is characterized in that, among the described step S2, the degree of association between described computing terminal request and the advertising message storehouse specifically may further comprise the steps:
S21. the type of advertising message is mated calculating;
S22. each project in the structural framing of advertising message is mated calculating, specifically comprises:
The project of time, numeral, place, keyword is carried out the logical operation coupling to be calculated;
The project of region, digital scope, time range is carried out the relational calculus coupling to be calculated;
The project of semantic attribute being carried out the semantic matches of attribute and property value calculates;
S23. export matching result according to the height ordering of the degree of association.
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| CNA2006100607005A CN101075320A (en) | 2006-05-16 | 2006-05-16 | System and method for issuing and inquiring information |
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| CNA2006100607005A CN101075320A (en) | 2006-05-16 | 2006-05-16 | System and method for issuing and inquiring information |
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- 2006-05-16 CN CNA2006100607005A patent/CN101075320A/en active Pending
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Application publication date: 20071121 |