CN110096501A - Data search method, device, medium and electronic equipment based on label - Google Patents

Abstract

The embodiment of the present invention relates to the field of big data technology, and provides a tag-based data search method, device, medium, and electronic equipment. The tag-based data search method includes: receiving a tag combination including at least one tag; The corresponding table of "data attribute-label" in the corresponding table, filters out the data corresponding to the combination of the labels, wherein each of the labels corresponds to a data attribute; and displays the filtered target data. The technical solutions of the embodiments of the present invention can improve search efficiency.

Description

Tag-based data search method, device, medium and electronic equipment

technical field

The present invention relates to the technical field of big data, in particular to a tag-based data search method, device, medium and electronic equipment.

Background technique

With the development of science and technology, various fields need to use search technology to search for target data. For example, in the insurance field, it is necessary to obtain target users by searching for target users, and then determine further development plans by analyzing the data of target users.

In the prior art, when searching for target data, firstly, the searcher usually summarizes keywords about the attributes of the target data through his own thinking. Then, enter the above keywords into the search engine to search. Finally, the search engine will display the corresponding target docking to the searcher according to the entered keywords.

However, the search efficiency of the method for searching target data provided by the prior art needs to be further improved.

It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute prior art known to those of ordinary skill in the art.

Contents of the invention

The purpose of the embodiment of the present invention is to provide a tag-based data search method, device, medium and electronic equipment, and then at least to a certain extent overcome the problem that the search efficiency of the search target data method provided by the prior art needs to be further improved.

Other features and advantages of the invention will become apparent from the following detailed description, or in part, be learned by practice of the invention.

According to the first aspect of an embodiment of the present invention, a tag-based data search method is provided, including: receiving a tag combination including at least one tag; filtering out the The data corresponding to the tag combination, wherein each tag corresponds to a data attribute; and the filtered target data is displayed.

In an embodiment of the present invention, according to the pre-established "data attribute-label" correspondence table, screening the data corresponding to the label combination includes: according to the "data attribute-label" correspondence table, determining the received The data attribute corresponding to the label; obtain the data corresponding to the data attribute to determine the target data.

In an embodiment of the present invention, when the number of tags in the received tag combination is greater than one tag, the tags in the tag combination are connected by a logical relationship.

In one embodiment of the present invention, according to the pre-established "data attribute-label" correspondence table, screening the data corresponding to the label combination includes: based on the logical relationship between the labels, according to the "data attribute -tag” correspondence table to determine the corresponding data attribute; obtain the data corresponding to the data attribute to determine the target data.

In an embodiment of the present invention, before receiving the tag combination including at least one tag, it also includes: counting the frequency of the tag combination, and the tag combination with the frequency greater than the preset value is a recommended tag combination; when receiving the tag combination When tags in the recommended tag combination are selected, the recommended tag combination is recommended to the searcher.

In an embodiment of the present invention, before receiving the label combination including at least one label, it further includes: establishing a "data attribute-label" correspondence table, the "data attribute-label" correspondence table including the label and the data attribute Correspondence relationship, each of the tags corresponds to at least one data attribute; based on the "data attribute-label" correspondence table, add the acquired data corresponding to each data attribute under the corresponding tag.

In an embodiment of the present invention, the tags are stored in HBase, and screening data corresponding to the tag combination includes: filtering data corresponding to the tag combination in HBase through ElasticSearch to determine target data.

According to the second aspect of the embodiment of the present invention, there is provided a tag-based data search device, including: a receiving module, the receiving module is used to receive a tag combination including at least one tag; a screening module, the screening module uses According to the pre-established "data attribute-label" correspondence table, filter out the data corresponding to the label combination, wherein each of the labels corresponds to at least one data attribute; a display module, the display module is used to display the filtered data The data.

According to a third aspect of the embodiments of the present invention, there is provided a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, the tag-based data Search method.

According to a fourth aspect of the embodiments of the present invention, there is provided an electronic device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one When executed by one or more processors, the one or more processors implement the tag-based data search method described in the first aspect of the above-mentioned embodiments.

The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:

In the technical solution provided by some embodiments of the present invention, by establishing a "data attribute-label" correspondence table, each label corresponds to a data attribute, that is, each label corresponds to multiple keys describing this data attribute word. Furthermore, the data corresponding to the corresponding data attribute is searched by searching based on the label, that is, the data corresponding to multiple keywords used to describe the data attribute is searched, thereby improving the search efficiency. At the same time, by accepting the label combination, the purpose of one-click search for the data corresponding to the corresponding data attribute combination is realized, thereby further improving the search efficiency.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention. Apparently, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can obtain other drawings according to these drawings without creative efforts. In the attached picture:

FIG. 1 shows a schematic flow diagram of a tag-based data search method according to an embodiment of the present invention;

FIG. 2 shows a schematic flowchart of a method for screening target data according to a "data attribute-label" correspondence table according to an embodiment of the present invention;

FIG. 3 shows a schematic flowchart of a tag-based data search method according to another embodiment of the present invention;

FIG. 4 shows a schematic flowchart of a label-based data search method according to yet another embodiment of the present invention;

FIG. 5 shows a schematic structural diagram of a tag-based data search device according to an embodiment of the present invention;

FIG. 6 shows a schematic structural diagram of a computer system suitable for implementing the electronic device of the embodiment of the present invention.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, apparatus, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the invention.

The block diagrams shown in the drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices entity.

The flow charts shown in the drawings are only exemplary illustrations, and do not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partly combined, so the actual order of execution may be changed according to the actual situation.

In the existing technology, target data attributes can be expressed by multiple keywords with similar semantics, so different searchers may summarize different keywords for target user attributes, resulting in searchers being unable to obtain all targets through a single keyword search data. However, if keywords with similar semantics are input multiple times, searching in multiple times will lead to low search efficiency. At the same time, when the keywords summarized for the attributes of the target data are inappropriate, there is also the possibility that the input keywords do not match the attributes of the data, and thus the target data cannot be searched.

In various embodiments of the present invention, the tags are established based on massive user data. The tags established based on massive data are conducive to improving the accuracy of tag-based data search.

The tag-based data search method provided by the embodiment of the present invention overcomes the above problems in the prior art at least to a certain extent.

Various embodiments of the present invention are described by taking the search for target users as an example.

Fig. 1 shows a schematic flow chart of a tag-based data search method according to an embodiment of the present invention. With reference to Fig. 1, the tag-based data search method includes:

Step S101, receiving a label combination including at least one label;

Step S102, according to the pre-established "data attribute-label" correspondence table, filter out the data corresponding to the combination of tags, wherein each tag corresponds to a data attribute;

Step S103, displaying the filtered target data.

In the technical solution of the embodiment provided in FIG. 1, a "data attribute-label" correspondence table is established, wherein each label corresponds to a data attribute, that is, each label corresponds to multiple keywords describing the data attribute. Furthermore, the data corresponding to the corresponding data attribute is searched by searching based on the label, that is, the data corresponding to multiple keywords used to describe the data attribute is searched, thereby improving the search efficiency. At the same time, by accepting the label combination, the purpose of one-click search for the data corresponding to the corresponding data attribute combination is realized, thereby further improving the search efficiency.

The specific implementation of each step in Figure 1 is further elaborated below:

In an exemplary embodiment, the tag is a multi-dimensional tag, for example, the upper-level tag includes at least one lower-level tag. For example: "Label 1" is a first-level label, which may include three second-level labels "Label 11", "Label 12" and "Label 13", and further, the second-level label "Label 13" may include the first Tertiary label "Label 131" etc. In step S101, a label combination including at least one label is received, wherein each label in the label combination may be a label of any level.

In an exemplary embodiment, in step S102, in step S102, target data is screened according to the "data attribute-label" correspondence table, and an achievable manner thereof is shown in FIG. 2 , including: step S201, according to the "data attribute-label" Tag" correspondence table, determine the data attribute corresponding to the received tag; and step S202, obtain the data corresponding to the data attribute, so as to determine the target data. For example: if during a triggering process, the "label 1 and label 2" input by the searcher is received, and then, according to the "data attribute-label" correspondence table, the user attributes corresponding to "label 1 and label 2" are determined. Then, the above-mentioned user attributes in the database acquire corresponding users, and these users have attributes corresponding to label 1 and attributes corresponding to label 2 at the same time. In order to filter out the target users. Finally, in step S103, the above-mentioned target users are displayed.

FIG. 3 shows a schematic flowchart of a tag-based data search method according to another embodiment of the present invention. Referring to FIG. 3 , the tag-based data search method includes steps S301 to S304.

In an exemplary embodiment, in step S301, a label combination including at least one label is received, and when the number of labels in the received label combination is greater than one label, the labels of the label combination are connected by a logical relationship . For example: AND, OR, NOT logic relationship connection between tags in the same tag combination. In step S302, based on the logical relationship between the tags, the corresponding data attributes are determined according to the "data attribute-label" correspondence table. In step S303, the data corresponding to the data attribute is obtained to determine the target data. Finally, in step S304, the above-mentioned target users are displayed.

For example, if during a trigger process, the searcher input "label 1 and label 2 is not label 3", then the corresponding users are obtained in the database, and these users have attributes corresponding to label 1 and label 2 attributes, and does not have the attributes corresponding to label 3.

In the technical solution of the embodiment provided in Figure 3, by setting the logical relationship between the tags in the same tag combination, and further based on the above logical relationship, the corresponding data attribute is determined according to the "data attribute-label" correspondence table, thereby facilitating the search The operator implements the search task, which further improves the search efficiency.

FIG. 4 shows a schematic flowchart of a tag-based data search method according to yet another embodiment of the present invention. Referring to FIG. 4 , the tag-based data search method includes steps S401 to S405.

In an exemplary embodiment, in step S401, a "data attribute-label" correspondence table is established, the "data attribute-label" correspondence table includes the correspondence between labels and data attributes, and each of the labels corresponds to at least one data attributes. Exemplarily, the searcher summarizes the keywords for the attributes of the target data, and searches the "data attribute-label" correspondence table through the keywords. Among them, the label a corresponding to the A attribute can be obtained through multiple keywords for the A attribute.

In an exemplary embodiment, in step S402, based on the "data attribute-label" correspondence table, the obtained data corresponding to each data attribute is respectively added under a corresponding label. Exemplarily, if the keywords (A1, A2, A3) all use the generalized attribute A, then the data corresponding to the keywords (A1, A2, A3) are all added to the label a corresponding to the attribute A.

In an exemplary embodiment, the "data attribute-label" correspondence table is continuously enriched and updated. For example, through uninterrupted/regular inspection of data attributes, when a new data attribute is judged, a corresponding label is set for the new data attribute in time, so as to provide rich label resources for searchers.

In an exemplary embodiment, the tagged data can be stored in Hbase. HBase is column-oriented storage and access control, and supports independent indexes. Its data is stored in a certain column in the table, so that when only a few fields are needed for query, the amount of read data can be greatly reduced. In the embodiment of the present invention, HBase is used to store tagged data, which is beneficial to improve tag search efficiency of searchers.

In an exemplary embodiment, when filtering the data corresponding to the tag combination, ElasticSearch is used to filter the data corresponding to the tag combination to determine the target data. As a search engine, ElasticSearch can be used to quickly process retrieval tasks. In the embodiment of the present invention, the labels stored in the HBase database are operated on through ElasticSearch, for example, the corresponding users are retrieved according to the label combination including the logical relationship of "and, or, and not". Thereby, the label search efficiency of the searcher is further improved.

In an exemplary embodiment, before receiving the tag combination including at least one tag, it also includes: counting the frequency of the tag combination, the tag combination with the frequency greater than the preset value is a recommended tag combination; when receiving the recommended When the tags in the tag combination are selected, the recommended tag combination is recommended to the searcher.

Exemplarily, the searcher's input frequency is higher than the preset value of the high-frequency tag combination. When a searcher inputs a tag related to a high-frequency tag combination, the corresponding high-frequency tag combination is recommended to the searcher according to the order of the occurrence frequency of the same tag combination from high to low. Therefore, the searcher's time of inputting tag combinations is saved, and the search efficiency is further improved.

In an exemplary embodiment, the specific implementation manners of step S403-step S405 are the same as those of the foregoing embodiments, and will not be repeated here.

The following introduces the embodiment of the device of the present invention, which can be used to implement the above-mentioned tag-based data search method of the present invention.

Fig. 5 shows a schematic structural diagram of a tag-based data search device according to an embodiment of the present invention. Referring to FIG. 5 , the tag-based data search device 500 includes: a receiving module 501 , a screening module 502 and a display module 503 .

Wherein, the receiving module 501 is used to receive a label combination including at least one label; the screening module 502 is used to filter out the data corresponding to the label combination according to the pre-established "data attribute-label" correspondence table, wherein , each of the tags corresponds to at least one data attribute; the display module 503 is configured to display the filtered data.

In an exemplary embodiment, the screening module 502 includes: a first determining unit and a second determining unit.

Wherein, the first determining unit is used to determine the data attribute corresponding to the received tag according to the “data attribute-label” correspondence table; the second determining unit is used to obtain data corresponding to the data attribute to determine the target data.

In an exemplary embodiment, when the number of tags in the received tag combination is greater than one tag, the tags in the tag combination are connected by a logical relationship.

In an exemplary embodiment, the screening module 502 includes: a third determining unit and a fourth determining unit.

Wherein, the third determining unit is used to determine the corresponding data attribute according to the "data attribute-label" correspondence table based on the logical relationship between the tags; the fourth determining unit is used to obtain the data corresponding to the data attribute to determine target data.

In an exemplary embodiment, the tag-based data search apparatus 500 further includes: a statistical module and a recommendation module.

Among them, the statistical module is used to count the frequency of tag combinations, and the tag combinations whose frequency is greater than the preset value are recommended tag combinations; the recommendation module is used to recommend to searchers when tags in the recommended tag combinations are received. The recommended tag combination.

In an exemplary embodiment, the tag-based data search apparatus 500 further includes: a building module and an adding module.

Wherein, the establishment module is used to establish a "data attribute-label" correspondence table, and the "data attribute-label" correspondence table includes the correspondence between labels and data attributes, and each of the labels corresponds to at least one data attribute; the adding module uses Based on the "data attribute-label" correspondence table, add corresponding labels to the multiple acquired data attributes.

In an exemplary embodiment, the tags are stored in HBase, and the screening module 502 is specifically configured to: use ElasticSearch to screen data corresponding to the tag combination in HBase to determine target data.

Since each functional module of the tag-based data search device in the exemplary embodiment of the present invention corresponds to the steps of the above-mentioned exemplary embodiment of the tag-based data search method, for details not disclosed in the device embodiments of the present invention, please refer to this Embodiments of the tag-based data search method described above are invented.

Referring now to FIG. 6 , it shows a schematic structural diagram of a computer system 600 suitable for implementing an electronic device according to an embodiment of the present invention. The computer system 600 of the electronic device shown in FIG. 6 is only an example, and should not limit the functions and scope of use of the embodiments of the present invention.

As shown in FIG. 6 , a computer system 600 includes a central processing unit (CPU) 601 that can be programmed according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage section 608 into a random-access memory (RAM) 603 Instead, various appropriate actions and processes are performed. In the RAM 603, various programs and data necessary for system operation are also stored. The CPU 601 , ROM 602 , and RAM 603 are connected to each other via a bus 604 . An input/output (I/O) interface 605 is also connected to the bus 604 .

The following components are connected to the I/O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 608 including a hard disk, etc. and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, optical disk, magneto-optical disk, semiconductor memory, etc. is mounted on the drive 610 as necessary so that a computer program read therefrom is installed into the storage section 608 as necessary.

In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, the embodiments of the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication portion 609 and/or installed from removable media 611 . When this computer program is executed by a central processing unit (CPU) 601, the above-mentioned functions defined in the system of the present application are performed.

It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. A computer readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, in which computer-readable program codes are carried. Such propagated data signals may take many forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. . Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, program segment, or portion of code that includes one or more logical functions for implementing specified executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block in the block diagrams or flowchart illustrations, and combinations of blocks in the block diagrams or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a A combination of dedicated hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software or by hardware, and the described units may also be set in a processor. Wherein, the names of these units do not constitute a limitation of the unit itself under certain circumstances.

As another aspect, the present application also provides a computer-readable medium. The computer-readable medium may be included in the electronic device described in the above-mentioned embodiments; or it may exist independently without being assembled into the electronic device. middle. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by an electronic device, the electronic device is made to implement the tag-based data search method as described in the above-mentioned embodiments.

For example, the electronic device can be implemented as shown in Figure 1: step S110, receiving a tag combination including at least one tag; step S102, filtering out the The data corresponding to the tag combination, wherein each tag corresponds to a data attribute; step S103, displaying the filtered target data.

As another example, the electronic device can implement various steps as shown in FIG. 1 .

It should be noted that although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. Actually, according to the embodiment of the present invention, the features and functions of two or more modules or units described above may be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided to be embodied by a plurality of modules or units.

Through the description of the above implementations, those skilled in the art can easily understand that the example implementations described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, and the software product can be stored in a non-volatile storage medium (which can be a CD-ROM, U disk, mobile hard disk, etc.) or on a network , including several instructions to make a computing device (which may be a personal computer, a server, a touch terminal, or a network device, etc.) execute the method according to the embodiment of the present invention.

Other embodiments of the invention will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present invention, these modifications, uses or adaptations follow the general principles of the present invention and include common knowledge or conventional technical means in the technical field not disclosed in the present invention . The specification and examples are to be considered exemplary only, with a true scope and spirit of the invention being indicated by the following claims.

It should be understood that the present invention is not limited to the precise constructions which have been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.

Claims (10)

1. A label-based data search method, comprising: receiving a tag combination comprising at least one tag; According to the pre-established "data attribute-label" correspondence table, filter out the data corresponding to the label combination, wherein each of the labels corresponds to a data attribute; Displays the filtered target data. 2. The method according to claim 1, characterized in that, according to the pre-established "data attribute-label" correspondence table, screening the data corresponding to the label combination includes: According to the "data attribute-label" correspondence table, determine the data attribute corresponding to the received label; Obtain the data corresponding to the data attribute to determine the target data. 3. The method according to claim 1, wherein when the number of tags in the received tag combination is greater than one tag, the tags in the tag combination are connected by a logical relationship. 4. The method according to claim 3, wherein, according to the pre-established "data attribute-label" correspondence table, screening the data corresponding to the label combination includes: Based on the logical relationship between the tags, the corresponding data attributes are determined according to the "data attribute-label" correspondence table; Obtain the data corresponding to the data attribute to determine the target data. 5. The method according to claim 1, wherein before receiving the label combination comprising at least one label, further comprising: Counting the frequency of tag combinations, the tag combinations whose frequency is greater than the preset value are recommended tag combinations; When a tag in the recommended tag combination is received, the recommended tag combination is recommended to a searcher. 6. The method according to any one of claims 1 to 5, characterized in that before receiving the label combination including at least one label, further comprising: Establish a "data attribute-label" correspondence table, the "data attribute-label" correspondence table includes the correspondence between labels and data attributes, and each of the labels corresponds to at least one data attribute; Based on the "data attribute-label" correspondence table, add the obtained data corresponding to each data attribute under the corresponding label. 7. The method according to claim 6, wherein the label is stored in HBase, Filter the data corresponding to the tag combination, including: Filter the data corresponding to the tag combination in HBase through ElasticSearch to determine the target data. 8. A tag-based data search device, characterized in that it comprises: A receiving module, configured to receive a label combination including at least one label; A screening module, the screening module is used to filter out the data corresponding to the tag combination according to the pre-established "data attribute-label" correspondence table, wherein each of the tags corresponds to at least one data attribute; A display module, the display module is used to display the filtered data. 9. A computer-readable medium, on which a computer program is stored, wherein when the program is executed by a processor, the tag-based data search method according to any one of claims 1 to 7 is realized. 10. An electronic device, characterized in that it comprises: one or more processors; A storage device, used to store one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors can implement any one of claims 1 to 7 A tag-based data search method as described.