KR20100101464A - Searching apparatus and method using tag information - Google Patents

Abstract

PURPOSE: A method and a device for searching using tag information are provided to apply searching based on meaning such as ontology, thereby obtaining exact searching result. CONSTITUTION: A tag search unit generates a primary contents list by extracting contents having tag(S210). A weight calculation unit give a first weight value to the contents(S220). A search result providing unit extracts related contents having related tag in the extracted contents(S230). The weight calculating unit gives a second weight value to the related contents(S240). The searching result providing unit outputs the search result contents(S250).

Description

Searching apparatus and method using tag information}

The technical field of the present invention relates to information retrieval, and more particularly, to a retrieval method and apparatus using tag information.

Due to the development of the network and the increase of various kinds of user-generated information, a great deal of information is exposed to users. However, the greater the amount of information exposed, the more difficult it is for the user to find the desired information among them. In other words, how quickly and accurately to find the information the user needs has become one of the core of the search service.

Conventional search service analyzes the search query entered by the user, ranks the search results according to the method of analyzing similarity with the searched content itself and shows the ranking result to the user to help the user find the desired information. . Therefore, the search results vary greatly according to which algorithm ranks the search contents determined to be similar to the search query, and it may be difficult to find a desired search result.

Accordingly, according to an aspect of the present invention, there is provided a search method and apparatus using tag information that improves the quality of a search service by calculating search suitability using tag information registered in content.

According to an aspect of the present invention, a search method using tag information includes: extracting content having a tag corresponding to an input search word or content having a tag associated with the tag as a tag; Calculating an association degree of the extracted content by reflecting the tag or related tag information; And providing search results in which the extracted content is sorted according to the calculated relevance value.

In addition, the search apparatus using the tag information according to another aspect of the present invention, the tag search unit for extracting the content having a tag corresponding to the input search word or the content having the tag associated with the tag as a tag; A weight calculator configured to calculate the degree of association of the extracted content by reflecting the tag or related tag information; And a search result providing unit providing search results in which the extracted content is sorted according to the calculated relevance value.

According to an embodiment of the present invention, since a search based on semantics such as ontology can be applied, a more accurate search result can be obtained than a search result extracted by a conventional search method. In other words, the quality of the search service can be improved compared to the search result considering only the search result or keyword frequency performed according to the conventional search method.

In addition, by using the tag information to improve the suitability of the search and further provide related search terms, it is possible to provide a high quality search service to the user, as well as to improve information utilization and work productivity.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, if it is determined that detailed descriptions of related well-known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, terms to be described below are terms defined in consideration of functions in the present invention, which may vary according to intention or custom of a user or an operator. Therefore, the definition should be made based on the contents throughout the specification.

1 is a diagram illustrating an example of tag information registered in content according to an embodiment of the present invention.

The content 100 may be various kinds of information that can be obtained from a web site. For example, when there is content 100 as shown in FIG. 1 related to the release of T Omnia, a tag 110 such as "SKT, Smartphone, KTF, omnia, mobile phone market" related to the keyword is shown. To the content 100.

A tag is used for a web 2.0 based service. When a tag is generated or distributed through the web, a tag is a meaningful tag attached to the content of the information. For example, if the content of the content is the subject of "Internet-based Web 2.0 technology", the words "Internet, Web 2.0, blog, google, semantic" can be tagged. In other words, a meaningful keyword that a user assigns to content is called a tag. In this embodiment, this tag is used to improve the relevance of the search. Such a service may be applied to a search service on a web portal, a news search service, a blog search service, a community search service, a social network search service, or an unstructured document search service based on an enterprise intranet.

2 is a flowchart of a retrieval method using tag information according to an embodiment of the present invention.

When the search word is input, the first content list is generated by extracting contents having a tag including the input search word (S210). The primary content list thus generated may be stored in a database. For example, when a search term "omnia" is input, contents that have the word "omnia" as a tag are extracted. Therefore, the content 100 as shown in FIG. 1 may be extracted.

Next, an association degree is calculated by assigning a first weight value to the extracted contents (S220). That is, since each extracted content has an association value indicating relevance to a search word, the association degree is recalculated by multiplying this value by a first weight value.

Then, related contents having the associated tag associated with the tag in the step S210 included in the extracted content are extracted (S230). In the above example, the tag associated with the tag "omnia" becomes "SKT, Smartphone, KTF, mobile phone market", and thus extracts other contents having these words as tags as related contents. Meanwhile, the related search word may be further extracted in this process. For example, in consideration of the frequency, frequently appearing related tags may be extracted as related search terms. In the above example, if the word "smartphone" exists in content that has the word "omnia" as a tag, and this word frequently appears in a tag of other content, "smartphone" is a related search term of "omnia". Can be extracted. The extracted related search word may be further used to assist the user in searching for desired content.

The association degree is calculated by applying a second weight value to the extracted related content (S240). That is, since each extracted extracted content has an association value indicating relevance to a search word, the association degree is multiplied by a second weight value to calculate the association degree again.

Meanwhile, the second weight value may be set to a value smaller than the first weight value. For example, the first weight value may be set to 0.5 and the second weight value may be set to 0.3. That is, since the content having the same or similar word as the keyword as the tag is more related than the content having the related tag of the keyword, the first weight may be set larger than the second weight.

The extracted search result contents are ranked and output based on the calculated relevance (S250). At this time, the degree of association data of the extracted contents according to the algorithm of the existing search engine may be further reflected. The search result may also include related search words extracted in step S230.

3 is a block diagram of a search apparatus using tag information according to an embodiment of the present invention.

Referring to FIG. 3, a search apparatus using tag information according to an embodiment of the present invention includes a tag search unit 310, a weight calculator 320, a search result provider 340, and a database 350. The search engine 330 may be optionally added.

When a search word is input, the tag search unit 310 searches for and extracts contents having a tag including the input search word from the database 350 to generate a primary content list. The primary content list generated in this way may be stored in the database 350 again. In addition, related contents having an associated tag related to the search word tag included in the extracted content are also extracted.

In this process, the related search word may be further extracted. For example, in consideration of the frequency, frequently appearing related tags may be extracted as related search terms. In the above-described example, if the word "smartphone" frequently appears in content having the word "omnia" as a tag, the word "smartphone" may be extracted as a related search word of the search term "omnia". The extracted related search word may be further used to assist the user in searching for desired content.

The weight calculator 320 calculates the degree of association by assigning a first weight to the extracted contents. That is, since each extracted content has an association value indicating relevance to a search word, the association degree is recalculated by multiplying this value by a first weight value. In addition, the degree of association is calculated by assigning a second weight value to the associated content extracted by the tag search unit 310. That is, since each extracted extracted content has an association value indicating relevance to a search word, the association degree is recalculated by multiplying this value by a second weight value. Meanwhile, the second weight value may be set to a value smaller than the first weight value. That is, since the content having the same or similar word as the keyword as the tag is more related than the content having the related tag of the keyword, the first weight may be set larger than the second weight.

The search result providing unit 340 ranks the extracted search result contents with the relevance calculated as described above and outputs the ranking. In this case, the correlation data of the extracted contents according to the algorithm of the existing search engine 330 may be further reflected. In addition, an associated search word extracted by the tag search unit 310 may be provided.

On the other hand, the method according to an embodiment of the present invention can be implemented in a computer-readable code on a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored.

Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, and the like, which may also be implemented in the form of carrier waves (for example, transmission over the Internet). Include. The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion. In addition, functional programs, codes, and code segments for implementing the present invention can be easily deduced by programmers skilled in the art to which the present invention belongs.

So far I looked at the center of the preferred embodiment of the present invention. Those skilled in the art will appreciate that the present invention can be implemented in a modified form without departing from the essential features of the present invention. Therefore, the disclosed embodiments should be considered in descriptive sense only and not for purposes of limitation. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the scope will be construed as being included in the present invention.

1 is a diagram illustrating an example of tag information registered in content according to an embodiment of the present invention;

2 is a flowchart of a retrieval method using tag information according to an embodiment of the present invention;

3 is a block diagram of a search apparatus using tag information according to an embodiment of the present invention.

<Description of main parts of drawing>

310: tag search unit 320: weight calculation unit

330: search engine 340: search results provider

350: database

Claims (12)

Extracting content having a tag corresponding to an input search word or content having an associated tag of the tag as a tag; Calculating an association degree of the extracted content by reflecting the tag or related tag information; And And providing search results in which the extracted content is arranged according to the calculated relevance value. The method of claim 1, wherein the associating degree calculating step And a first weight value is assigned to content having a tag corresponding to the input search word, and a tag weight value is calculated by assigning a second weight value to content having an associated tag of the tag. The method of claim 2, And the first weight value is set to a value larger than the second weight value. The method of claim 1, wherein the associating degree calculating step And extracting a related search word related to the input search word in consideration of the appearance frequency of the related tag. The method of claim 4, wherein the providing of the search result Search method using the tag information to further provide the extracted related search word. The method of claim 1, wherein the providing of the search result The degree of relevance is calculated by reflecting the relevance value of the extracted contents according to the algorithm of the existing search engine in the calculated relevance value, and using the tag information for providing the search result in which the extracted content is sorted according to the result. Search method. A tag search unit that extracts content having a tag corresponding to an input search word or content having an associated tag of the tag as a tag; A weight calculator configured to calculate the degree of association of the extracted content by reflecting the tag or related tag information; And And a search result providing unit for providing a search result in which the extracted content is sorted according to the calculated correlation value. The method of claim 7, wherein the tag search unit And a tag information for extracting content having a tag corresponding to the input search word and content having an associated tag of the tag. The method of claim 7, wherein the weight calculation unit And a first weight value is assigned to content having a tag corresponding to the input search word, and a tag weight is calculated by assigning a second weight value to content having an associated tag of the tag. 10. The method of claim 9, And the first weight value is set to a value larger than the second weight value. The method of claim 7, wherein And the search result providing unit further provides the extracted related search word when the weight calculator extracts the related search word related to the input search word in consideration of the frequency of appearance of the related tag. The method of claim 7, wherein Searching apparatus using a tag information further comprises a search engine for calculating the relevance value of the extracted content by searching according to the existing search algorithm and delivering to the search result providing unit.

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