JP2005309720A - Retrieval request device, retrieval request method, retrieval request program, computer-readable storage medium recording retrieval request program, retrieval device and retrieval program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To efficiently retrieve a content to be retrieved. <P>SOLUTION: The retrieval request device comprises a second cross-reference 341, a processing part 35 controlling it, and a storage part 34 which is a client 30 storing second keywords for every category shown in metadata attached to Web pages. When a Web page is displayed on a display part 33, the processing part 35 selects a second keyword belonging to the category shown in metadata attached to this Web page from the second cross-reference 341, and requests retrieval of other Web pages with a first keyword specified in the display of the Web page and the selected second keyword as retrieval conditions to a retreival server 10. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a search request device and a search device for search target content.

In recent years, with the advancement of information and communication technology, the Internet has also spread to ordinary households. One of the merits of using the Internet is collecting various contents by searching. There are the following search methods.
First, there is a method of searching web pages belonging to all categories using a predetermined keyword as a search condition (see, for example, Non-Patent Document 1).
Second, there is a method of searching web pages by category using a predetermined keyword as a search condition (for example, Non-Patent Document 2).
Search site “goo”, [online], [Search April 20, 2004], Internet <URL: http://www.goo.ne.jp/> Search site “goo”, [online], [Search April 20, 2004], Internet <URL: http://dir.goo.ne.jp/index.jsp?TAB=top&MT=>

However, according to Non-Patent Document 1, since web pages belonging to all categories are included in the search results, it is difficult for the user to find other desired web pages that are strongly related to the web page being browsed or viewed. There was a case.
According to Non-Patent Document 2, web pages by category are included in the search results, but the user must appropriately specify the category of other desired web pages that are strongly related to the web page being viewed or viewed. In some cases, it is difficult to find a desired web page.

Therefore, the present invention has been made to solve the above-described problems, and its purpose is as follows.
A search request device capable of performing an efficient search, a search request method, a search request program, and a computer-readable recording medium on which the search request program is recorded.
It is another object of the present invention to provide a search device and a search program that can perform an efficient search.

  In order to solve the above-described problem, the present invention includes a storage unit and a processing unit that controls the storage unit, and the storage unit stores a second keyword for each category indicated in the metadata attached to the search target content. When the search target content is displayed at the display destination, the processing unit selects, from the storage unit, the second keyword belonging to the category indicated in the metadata attached to the search target content in the display state. A search for other search target contents is requested using the first keyword specified during display of the search target content and the selected second keyword as search conditions.

  According to the present invention, since the search can be requested using the first keyword and the second keyword as search conditions, an efficient search can be performed.

  Hereinafter, “search request device”, “search request method”, “search request program”, “computer-readable recording medium recording a search request program”, “search device”, which are the best modes for carrying out the present invention And “search program” will be described.

[Embodiment 1]
FIG. 1 is a block diagram showing a search system according to Embodiment 1 of the present invention. Here, a case where a web page as a search target content is searched will be described as an example, but the type of the search target content is not particularly limited.
In the search system shown in FIG. 1, a search server (search device) 10 is connected to a client (search request device) 30 via a communication network 20. The communication network 20 is constructed by a communication network such as the Internet or a telephone line network. However, the communication network 20 is not particularly limited as long as data communication between the search server 10 and the client 30 is possible.
In FIG. 1, the client 30 displaying a certain web page requests the search server 10 to perform a search using a plurality of keywords described later, and the search server 10 matches the search condition from the client 30. Here, the client 30 is provided with a search result of another web page that is strongly related to the currently displayed web page. Hereinafter, the search server 10 and the client 30 will be described in order.

The search server 10 includes a communication unit 11, a storage unit 12, and a processing unit 13 that controls them. For example, a web server is used for the search server 10.
The communication unit 11 is an interface such as a network interface. The storage unit 12 is a storage device such as a memory or a hard disk.
The processing unit 13 is a CPU, for example, and has a search function 131. The search function 131 will be described later. The processing unit 13 operates according to a search program recorded on a computer-readable recording medium such as a CD-ROM.

The client 30 includes a communication unit 31, an input unit 32, a display unit 33, a storage unit 34, and a processing unit 35 that controls them. For example, an information terminal such as a personal computer equipped with a browser is used as the client 30.
The communication unit 31 is an interface such as a network interface. The input unit 32 is an input device such as a mouse or a keyboard. A first keyword instructed by the user is input to the input unit 32. The display unit 33 is a display device such as a liquid crystal display, and a web page or the like is displayed on the display unit 33.

  The storage unit 34 is a storage device such as a memory or a hard disk, and the second keyword comparison table 341 is stored in the storage unit 34. In the second keyword comparison table 341, as shown in FIG. 2, the category, the second keyword, and the priority are associated.

  The category represents a category shown in the metadata attached to the web page, and “Cooking”, “Nature”, and the like are listed here. Metadata is data assigned to a target web page.

  Note that “metadata associated with a web page” may be described as part of the target web page or stored in a different file format from the target web page. It means that you may have.

The second keyword is a keyword included in a search-target web page belonging to the above-described category. Here, “recipe”, “food”, and the like are listed in the “cooking” category.
The priority represents weighting of a plurality of second keywords belonging to each category.

  Returning to FIG. The processing unit 35 is a CPU, for example, and operates according to a search request program recorded on a computer-readable recording medium such as a CD-ROM. The processing unit 35 has a first keyword specifying function 351, a category extracting function 352, a second keyword specifying function 353, a search query generating function 354, and a second keyword updating function 355. These functions 351 to 355 will be described later.

[Web page structure]
Next, the structure of the web page will be described. In the web page, as shown in FIG. 3, a first keyword input field, metadata, and a search script are described.
In the first keyword input field, for example, when a user is browsing a certain web page, a keyword for searching for another web page related to the web page is input by the user as the first keyword. The first keyword is input by the user using the input unit 32 such as a keyboard.
The search script is described in a language such as JavaScript or Java (R), and is implemented in the browser.

[Operation of search request in client]
When the first keyword is input to the first keyword input field shown in FIG. 3, the processing unit 35 of the client 30 extracts the category shown in the metadata shown in FIG. 3 and extracts the second corresponding to the category. A keyword is selected from the second keyword comparison table 341. The method for selecting the second keyword will be described in detail later with reference to FIG.
Then, the processing unit 35 searches the web page according to the search script shown in FIG. 3 using the first keyword input in the first keyword input field and the second keyword selected from the second keyword comparison table 341 as a search condition. Is requested to the search server 10.

  For this reason, the user searches the second keyword corresponding to the category indicated in the metadata attached to the web page by inputting the first keyword in the first keyword input field while browsing a certain web page. It can be included in the condition. Therefore, the user can obtain, as a search result, another web page that meets the search condition combining the first keyword and the second keyword.

[Search processing in search server and client (1)]
Next, the search processing in the search server 10 and the client 30 will be specifically described.
FIG. 4 is a diagram illustrating a processing procedure regarding the search, which is a processing procedure of the search server 10 and the client 30. Here, as an example, the user wants to find a web page related to “how to make beef bowl” while browsing a web page related to “how to make pasta dishes” on the display unit (display destination) 33 of the client 30. explain.

  First, a user browsing a web page related to “how to make pasta dishes” uses the input unit 32 to enter a predetermined keyword (here “beef”) in the first keyword input field (see FIG. 3) of the web page. ). Then, the processing unit 35 of the client 30 registers the keyword input in the first keyword input field as a first keyword in a predetermined area of the storage unit 34, and specifies the first keyword (S101: this in FIG. 1). This is called “first keyword specifying function 351”.) “Identify the first keyword” means that the first keyword is in a registered state.

  Subsequently, the processing unit 35 extracts the category (here, “dishes”) indicated in the metadata accompanying the web page in the display state on the display unit 33 (S102: “category” shown in FIG. 1). Referred to as an extraction function 352).

  Next, the processing unit 35 selects a plurality of second keywords belonging to the extracted category with reference to the second keyword comparison table 341 (S103: “second keyword specifying function 353” shown in FIG. 1). Call it.) More specifically, the processing unit 35 refers to the second keyword comparison table 341 when making this selection, and among the plurality of second keywords belonging to the extracted category, the second keyword (the second highest priority) ( Here, “recipe” and “food”) are read out, and the second highest keyword is selected (see FIG. 2). As a result, the higher-order second keyword having a higher priority is selected from the extracted category of “cooking”.

  Then, the processing unit 35 generates a search query using the first keyword “cow” identified in S101 and the second keyword “recipe” and “food” selected in S103 as search conditions, and the generated search query The search is requested to the search server 10 via the communication network 20 (S104: this is called “search query generation function 354” shown in FIG. 1).

  The search conditions used for the search request in S104 include a combination of the first keyword “cow” and the second keyword “recipe”, the first keyword “beef”, and the second keyword “food”. "Is a combination of two patterns. The search conditions for these two patterns are represented by ("cow and (recipe or ingredients)").

  Then, the processing unit 13 of the search server 10 searches for another web page that meets the search conditions from the client 30 (S105: this is called the “search function 131” shown in FIG. 1), and the search result. Is read from the storage unit 12 and transmitted to the client 30 (S106).

  By the transmission from the search server 10, the client 30 displays the search result of the web page that meets the search condition on the display unit 33. Accordingly, the user can find another desired web page that is strongly related to the web page related to “how to make pasta dishes” in the display state.

[Search result comparison example]
Here, the search result in the case of the search condition (“beef and (recipe or ingredients))” combining the first keyword and the second keyword, and the search result in the case of the search condition of only the first keyword (“cow”) An example will be described.
FIG. 5 is an explanatory diagram showing the search results described above.
In FIG. 5, as a search result in the case of the search condition (“beef and (recipe or ingredients)”), a web page relating to (“beef bowl”, “recipe”, “how to make”) and (“food sales” “Saga beef”) Are displayed in the first and second highest search rankings.

On the other hand, in FIG. 5, as a search result in the case of the search condition (“cow”), (“Welcome to Ushiku City” “History of Ushiku”) and (“Cow Museum” “Cow Ecology”) The web page is displayed in the top and second place in the search order, and the web page related to ("gyudon", "recipe", "how to make") and the web page related to ("food sales", "Saga beef") are displayed below. ing.
From the above, rather than the search condition for only the first keyword (“cow”), the request for the search with the combination of the first keyword and the second keyword (“beef and (recipe or ingredients)”) A web page that is strongly related to the web page related to “how to make pasta dishes” and that the user wants to search (here, such as a web page related to “beef bowl”, “recipe”, and “how to make”) is displayed at the top. Therefore, the user can easily find a desired web page.

[Second keyword update processing in the client]
Next, the second keyword update process in the client 30 will be described.
FIG. 6 is a diagram showing a processing procedure of the client 30 and a processing procedure related to the update of the second keyword. Here, a case where the user selects a specific web page from the above-described search results of FIG. 5 (here, the case where the search condition is (“beef and (recipe or ingredients))”) will be described as an example. To do.

  First, the user browsing the search result shown in FIG. 5, for example, by clicking on the input unit 32, the specific search result included in the search result (here, “gyudon” shown in FIG. 5). Web page) regarding “recipe” “how to make”) is selected (S201). Thereby, the web page regarding the selected (“gyudon” “recipe” “how to make”) is displayed on the display unit 33.

  The processing unit 35 then sets the new web page regarding (“gyudon”, “recipe”, “how to make”) on the display unit 33 for a preset time (for example, 10 seconds). A keyword (hereinafter referred to as a “third keyword”) is extracted from a simple web page (S202). When the new web page is not displayed on the preset time display unit 33, the processing unit 35 does not extract the third keyword from the new web page.

Here, a specific example of the third keyword extraction process will be described. Here, a case where morphological analysis is used will be described.
The morpheme analysis is an analysis for dividing a sentence written in a natural language into a column of morphemes (words) to identify parts of speech. Here, a predetermined word among words in a new web page is a third keyword. Is used to extract as In S202, the description will be continued assuming that, for example, three words “beef bowl”, “recipe”, and “how to make” are extracted as the third keyword by morphological analysis.

  Next, in S203, the processing unit 35 refers to the second keyword comparison table 341 and determines whether or not the third keyword extracted in S202 is registered. Specifically, in this determination, the processing unit 35 determines whether or not the third keyword extracted in S202 is registered in the “dishes” category extracted in S102 of FIG.

  As a result of the determination in S203, for example, of the three third keywords extracted in S202, it is determined that the two third keywords “gyudon” and “how to make” are not registered in the second keyword comparison table 341. Then (in the case of “No” in S203), the processing unit 35 registers the two third keywords as the second keywords in the category “dishes” extracted in S102 (S204). Note that the priority of the two “gyudon” and “how to make” registered as the second keyword is a default value (here, “1.0”). As a result, in the subsequent search, “beef bowl” and “how to make” are used as the second keyword in the category of “food”, and a desired web page is efficiently searched.

  On the other hand, as a result of the determination in S203, for example, if it is determined that the third keyword of “recipe” among the three third keywords extracted in S202 has been registered in the second keyword comparison table 341 (“Yes in S203” )), The processing unit 35 refers to the second keyword comparison table 341 and sets the corresponding priority, that is, the priority of the “recipe” registered in the “dish” category extracted in S102 of FIG. Change (for example, the original priority is multiplied by 1.1) (S205). This makes it easy to select “recipe” as the second keyword in the “food” category in subsequent searches, and efficiently searches for web pages that are strongly related to the displayed web page and highly interested by the user. Will be.

  As described above, in FIG. 6, the processing unit 35 selects the second keyword according to the relationship between the third keyword extracted from the web page included in the search result and the second keyword stored in the second keyword comparison table 341. The keyword priority is changed (eg, the priority is 1.1 times). Therefore, the priority of the second keyword is updated in accordance with the usage status of the user.

  In FIG. 6, when adding the third keyword extracted from the web page of the search result as the second keyword, the processing unit 35 displays the display status of the web page included in the search result (the web page is clicked). It is added according to the meaning of whether or not it was selected by the operation. As a result, the third keyword is added as the second keyword in accordance with the viewing status of the user.

[Example of changing priority of second keyword]
In S205 of FIG. 6 described above, the priority of the second keyword is changed by increasing the priority (1.1 times). However, the priority may be decreased. In this case, the processing unit 35 extracts the third keyword from the search result not selected in S201 (here, the web page related to “food sales” and “Saga beef” shown in FIG. 5), and the third keyword is When registered in the second keyword of the second keyword comparison table 341, the priority of the registered second keyword is reduced (for example, 0.9 times), so that the user's interest in subsequent searches. Web pages with low are difficult to search.

[Example of registration of second keyword in second keyword reference table]
In S204 of FIG. 6 described above, the processing unit 35 has been described as adding according to the display status of the web page included in the search result. However, from all the web pages included in the search result regardless of the display status. The extracted third keyword may be added as the second keyword. In this case, all the third keywords are used as the second keywords of a certain category, and there is an effect that a large number of web pages are searched.

[Other specific examples of third keyword extraction]
In the first embodiment described above, the extraction of the third keyword has been described for the case where morphological analysis is used, but another extraction method will be described.
For example, the data indicated in the metadata accompanying the new web page may be extracted as it is as the third keyword. For example, a keyword (such as a keyword indicating the web page itself) indicated by metadata attached to a new web page related to (“gyudon”, “recipe”, “how to make”) shown in FIG. 5 is extracted as the third keyword as it is. Also good.

  In the first embodiment described above, FIG. 1 illustrates the client 30 as a search request device. For example, when a mediation server is installed between the search server 10 and the client 30, the mediation device is designated as a search request. It may function as a device. In this case, the mediation apparatus has the functions 351 to 355 and the second keyword comparison table 341 of the client 30 shown in FIG. Then, the intermediary device realizes the above-described functions 351 to 355 based on the first keyword and metadata transmitted from the client 30 of FIG.

[Embodiment 2]
FIG. 7 is a block diagram showing a search system according to Embodiment 2 of the present invention. Here, a case where a web page as a search target content is searched will be described as an example. In addition, about the same part as above-mentioned Embodiment 1, the same code | symbol is attached | subjected and duplication description is abbreviate | omitted.

In the search system shown in FIG. 7, a search server 10 </ b> A that searches a web page is connected to a client 30 </ b> A via a communication network 20. A content distribution device 40 that distributes the video content d1 is also connected to the client 30A via the communication network 20.
In FIG. 7, the client 30A displaying the video content d1 requests the search server 10A to search using a plurality of keywords described later, and the search server 10A matches the search condition from the client 30A. (Here, the search result of the web page strongly related to the video content d1 being displayed) is provided to the client 30A.
Hereinafter, the content distribution device 40, the search server 10A, and the client 30A will be described in order.

  The content distribution apparatus 40 includes a communication unit 41, a storage unit 42, and a processing unit (CPU) 43 that controls them. The communication unit 41 is an interface such as a network interface. The storage unit 42 is a storage device such as a memory or a hard disk, and the storage unit 42 stores video content d1. The structure of the video content d1 will be described later.

Although the search server 10A includes the communication unit 11, the storage unit 12A, and the processing unit 13A that controls them, the search server 10A also has a function as a search request device that the client 30 in the first embodiment has, The following points are different from those in the first embodiment (see “search server 10” in FIG. 1).
A second keyword comparison table 341 is stored in the storage unit 12A.
A first keyword identification function 351, a category extraction function 352, a second keyword identification function 353, a search query generation function 354, and a second keyword update function 355 are added to the processing unit 13A. The processing unit 13A operates according to a search request program and a search program recorded on a computer-readable recording medium such as a CD-ROM.

  Although the client 30A includes the communication unit 31, the input unit 32, the display unit 33, the storage unit 34A, and the processing unit 35A that controls these, the point that the client 30A does not have a function as the above-described search request device is described above. 1 (see “client 30” in FIG. 1).

[Video content structure]
Next, the structure of the video content d1 will be described. The video content d1 is distributed to the client 30A, and the video content d1 is accompanied by metadata described in, for example, MPEG (Moving Picture Experts Group) -7 format.
In the metadata, a category (title, genre, etc.) indicating the entire video content d1 is described. The metadata also describes data indicating each scene of the video content d1 (performers of each scene, explanation of each scene, etc.). Since the data indicating each scene described in the metadata functions as the first keyword in the first embodiment, the data indicating each scene is hereinafter referred to as a first keyword.
Note that the metadata accompanying the video content d1 may be embedded as a part of the video content d1, or may be stored in a file format different from the target video content d1.

[Search processing in search server and client (2)]
Next, search processing in the search server 10A and the client 30A will be specifically described.
FIG. 8 is a diagram showing a processing procedure regarding the search, which is a processing procedure of the search server 10A and the client 30A. Here, when a certain user is viewing the video content (here, related to “cow grazing”) d1 distributed from the content distribution device 40 on the display unit (reproduction destination) 33 of the client 30A, the video is displayed. A case where a web page closely related to a scene with the content d1 is searched will be described as an example.

First, the client 30A that is reproducing the video content d1 related to “cow grazing” that the user is viewing transmits the metadata accompanying the video content d1 to the search server 10A via the communication network 20.
Note that transmission of metadata (a category indicating the entire video content d1 and a first keyword indicating each scene) will be described in the case where the client 30A performs the transmission of the video content d1 in the client 30A. However, the client 30A may perform the reproduction every time the scene of the video content d1 is started.
Through the transmission from the client 30A, the processing unit 13A of the search server 10A receives the metadata attached to the video content d1 (S301), and the category indicated in the metadata (here, the genre of the video content d1 is “ Natural ”) is extracted (S302).

  Next, the processing unit 13A refers to the second keyword reference table 341, and among the extracted second keywords belonging to the “natural” category (see FIG. 2), the second highest priority is the second highest keyword. The keywords (here, “ecology” and “wild”) are read out, and the second highest second keyword is selected (S303). As a result, the higher-order second keyword having a higher priority is selected from the extracted “nature” category.

  Next, the processing unit 13A extracts the first keyword of each scene of the video content d1 being played back by the client 30 from the metadata received in S301 (S304). Here, the description is continued on the assumption that only “bait” is extracted as the first keyword of “the scene where the cow is searching for food”, which is one scene of the video content d1. The first keyword may be extracted. When a plurality of first keywords are extracted, only one first keyword designated by a tag (MPEG-7 format, XML format) may be selected from the plurality of first keywords. . XML stands for eXtensible Markup Language.

  Next, the processing unit 13A searches the second keyword “ecology” and “wild” selected in S303 and the first keyword “food” extracted in S304 as a search condition (“food and (ecological or wild)”). And a web page is searched using the generated search query (S305).

Then, the processing unit 13A reads the search result from the storage unit 12A and transmits it to the client 30A (S306). Accordingly, the client 30A can browse a web page that is strongly related to the “scene where the cow is searching for food” being played, for example, the web page with the highest search order.
Note that the processing unit 13A generates a search query for each scene of the video content d1 when performing the search in S305, so that the user can browse web pages that are strongly related to each scene each time. Become.

Thereafter, for example, when the user selects a web page with another search order (here, the search order is second) by operating the input unit 32 of the client 30A (such as a click operation), the client 30A displays the display unit 33. Is transmitted to the search server 10 </ b> A via the communication network 20.
Then, the processing unit 13A of the search server 10A receives the web page transmitted from the client 30A, that is, the web page included in the search result transmitted in S306 (S307), and for example, from the web page using morphological analysis. The third keyword is extracted (S308).

  Next, the processing unit 13A refers to the second keyword comparison table 341, and determines whether or not the third keyword extracted in S309 is registered in the “natural” category extracted in S302 (S309).

  If it is determined in S309 that the third keyword is not registered in the second keyword comparison table 341 (in the case of “No” in S309), the processing unit 13A refers to the second keyword comparison table 341. Then, the unregistered third keyword is registered as the second keyword in the “natural” category extracted in S302 (S310). The priority of the third keyword registered as the second keyword is a default value (here, “1.0”). As a result, in the subsequent search, the unregistered third keyword is used as the new second keyword in the “nature” category, and the web page strongly related to each scene of the video content d1 being played back is efficiently used. Will be searched for.

  On the other hand, as a result of the determination in S309, if it is determined that the third keyword (here “wild”) has been registered in the second keyword comparison table 341 (in the case of “Yes” in S309), the processing unit 13A With reference to the keyword comparison table 341, the corresponding priority, that is, the priority of the third keyword registered in the “natural” category extracted in S302 is changed (for example, the original priority is multiplied by 0.9). (S311). This makes it difficult for subsequent searches to select “wild” as the second keyword in the “nature” category, and only searches for web pages that are strongly related to the “scene where the cow is looking for food”. Will be issued.

[Example of registering the second keyword in the second keyword comparison table]
In the first and second embodiments, the second keyword is registered in the second keyword comparison table 341 when the third keyword itself extracted by the processing units 35 and 13A is registered as the second keyword. (Refer to S204 in FIG. 6 and S310 in FIG. 8), other registration examples will be described here.
(1) For example, in S204 of FIG. 6, the processing unit 35 of FIG. 1 registers the similar keyword of the third keyword extracted in 204 of FIG. 6 in the second keyword comparison table 341 as a new second keyword. Good. A thesaurus (synonym) search is used to extract similar words.
In S310 of FIG. 8, the processing unit 13A of FIG. 7 may register the similar keyword of the third keyword extracted in S308 of FIG. 8 in the second keyword comparison table 341 as a new second keyword.
If it does in this way, there will be an effect that it will become possible to search a web page with search conditions including a similar word of the 3rd keyword.

(2) For example, when the first keyword specified in S101 of FIG. 4 is not registered in the second keyword comparison table 341, the processing unit 35 of FIG. 1 stores the first keyword extracted in S102 of FIG. A new second keyword may be registered in the second keyword comparison table 341.
Further, when the first keyword extracted in S304 in FIG. 8 is not registered in the second keyword comparison table 341, the processing unit 13A in FIG. 7 creates a new first category in the category extracted in S302 in FIG. Two keywords may be registered in the second keyword comparison table 341.
In this way, there is an effect that it is possible to search a web page using the first keyword as the second keyword.

(3) For example, when the following associations (a) to (h) are not registered in the second keyword comparison table 341, the processing unit 35 in FIG. 1 associates these (a) to (h). It may be registered as a new association. That is, (a) association between the category extracted in S102 of FIG. 4 and the second keyword selected in S103 of FIG. 4, (b) category extracted in S102 of FIG. 4 and selected in S103 of FIG. (C) Correspondence between category similar words extracted in S102 of FIG. 4 and second keyword selected in S103 of FIG. 4, (d) Correspondence of second keyword similar words in S102 of FIG. This is a correspondence between the extracted category and each similar word of the second keyword selected in S103 of FIG.

  In addition, the processing unit 13A in FIG. 7 performs a new correspondence with the associations (e) to (h) when the following associations (e) to (h) are not registered in the second keyword comparison table 341. You may make it register as an attachment. That is, (e) the association between the category extracted in S302 of FIG. 8 and the second keyword selected in S303 of FIG. 8, (f) the category extracted in S302 of FIG. 8 and the selection in S303 of FIG. (G) Association between the category similar words extracted in S302 of FIG. 8 and the second keyword selected in S303 of FIG. 8, (h) Association of the second keyword similar words of S2 in FIG. This is a correspondence between the extracted category and each similar word of the second keyword selected in S303 of FIG.

  If it does in this way, there will be an effect that it will become possible to search a web page with search conditions based on new correspondence.

  In Embodiment 2 described above, FIG. 7 illustrates the search server 10A as a search request device and a search device. For example, when a mediation server is installed between the search server 10A and the client 30A, The mediation device may function as a search request device. In this case, the mediation apparatus includes the functions 351 to 355 and the second keyword comparison table 341 of the search server 10A illustrated in FIG. Then, the intermediary device is caused to realize the functions 351 to 355 based on the metadata transmitted from the client 30A of FIG.

It is a block diagram which shows the search system which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the 2nd keyword contrast table of FIG. It is explanatory drawing which shows the structural example of the web page displayed on the display part of FIG. FIG. 2 is a diagram illustrating a processing procedure related to a search, which is a processing procedure of a search server and a client in FIG. 1. It is explanatory drawing which shows each search result of the search server of FIG. It is a process sequence regarding the update of the 2nd keyword which is a process sequence of the client of FIG. It is a block diagram which shows the search system which concerns on Embodiment 2 of this invention. FIG. 8 is a diagram showing a processing procedure related to a search, which is a processing procedure of the search server and the client in FIG. 7.

Explanation of symbols

10 search server 20 communication network 30 client

Claims (20)

A storage unit and a processing unit for controlling the storage unit;
The storage unit is a search request device that stores a second keyword for each category indicated in metadata attached to a search target content,
The processor is
When the search target content is displayed at the display destination,
A second keyword belonging to the category indicated in the metadata accompanying the search target content in the display state is selected from the storage unit;
A search request device, wherein a search for other search target content is requested using the first keyword specified during display of the search target content and the selected second keyword as search conditions. The processor is
When the third keyword extracted from the search target content included in the search result as the search condition does not belong to the category indicated in the metadata accompanying the search target content in the display state,
The third keyword or a similar word thereof is added to the storage unit as a new second keyword of a category indicated in metadata attached to the search target content in the display state. The search request device described in 1. The processor is
3. The search request device according to claim 2, wherein when the third keyword is added as the second keyword, the third keyword is added according to a display status of the search target content included in the search result. The processor is
When the first keyword specified during the display does not belong to the category indicated in the metadata accompanying the search target content in the display state,
The search request according to claim 1, wherein the first keyword is added to the storage unit as a new second keyword of a category indicated in metadata associated with the search target content in the display state. apparatus. The processor is
When the association between the category and the second keyword is extracted from the search target content included in the search result as the search condition, when the association is not registered in the storage unit,
Association between the extracted category and the selected second keyword, association between the extracted category similar word and the selected second keyword, association between the selected second keyword similar word and the extracted category The search request device according to claim 1, further comprising: adding a correspondence between the extracted category and each similar word of the selected second keyword as a new correspondence to the storage unit. A storage unit and a processing unit for controlling the storage unit;
The storage unit is a search request device that stores a second keyword for each category indicated in metadata attached to video content,
The processor is
When the video content is being played at the playback destination,
A second keyword belonging to the category indicated in the metadata accompanying the video content in the playback state is selected from the storage unit;
A search request device, wherein a search for content to be searched is requested using the first keyword and the selected second keyword indicated in metadata associated with the video content in the playback state as search conditions. The storage unit further stores the priority of the second keyword belonging to the category,
The processing unit refers to the storage unit when selecting a second keyword belonging to the category from the storage unit, and selects a second keyword having a higher priority of the second keyword belonging to the category. The search request device according to claim 1 or 6. The processing unit further includes:
Changing the priority of the second keyword according to the relationship between the third keyword extracted from the search target content included in the search result as the search condition and the second keyword stored in the storage unit. The search request device according to claim 1, wherein: A storage unit and a processing unit for controlling the storage unit;
In the search request method of the search request device, the storage unit stores the second keyword for each category indicated in the metadata accompanying the search target content,
The processor is
When the search target content is displayed at the display destination,
Selecting from the storage unit a second keyword belonging to the category indicated in the metadata associated with the search target content in the display state;
And a step of requesting a search for other search target content using the first keyword specified during display of the search target content and the selected second keyword as a search condition. The processor is
When the third keyword extracted from the search target content included in the search result as the search condition does not belong to the category indicated in the metadata accompanying the search target content in the display state,
Adding the third keyword or a similar word to the storage unit as a new second keyword of a category indicated in metadata associated with the search target content in the display state. The search request method according to claim 9. The processor is
The search request method according to claim 10, wherein when executing the step of adding the third keyword as the second keyword, the third keyword is added according to a display state of the search target content included in the search result. The processor is
When the first keyword specified during the display does not belong to the category indicated in the metadata accompanying the search target content in the display state,
The step of adding the first keyword to the storage unit as a new second keyword of a category indicated in metadata associated with the search target content in the display state is performed. The search request method described. The processor is
When the association between the category and the second keyword is extracted from the search target content included in the search result as the search condition, when the association is not registered in the storage unit,
Association between the extracted category and the selected second keyword, association between the extracted category similar word and the selected second keyword, association between the selected second keyword similar word and the extracted category The search request according to claim 9, further comprising the step of adding a correspondence between the extracted category and each similar word of the selected second keyword to the storage unit as a new correspondence. Method. A storage unit and a processing unit for controlling the storage unit;
The search request method of a search request device, wherein the storage unit stores a second keyword for each category indicated in metadata accompanying video content,
The processor is
When the video content is being played at the playback destination,
Selecting from the storage unit a second keyword belonging to the category indicated in the metadata accompanying the video content in the playback state;
And a step of requesting a search for the search target content using the first keyword indicated in the metadata associated with the video content in the playback state and the selected second keyword as search conditions. Request method. The storage unit further stores the priority of the second keyword belonging to the category,
When executing the step of selecting the second keyword belonging to the category from the storage unit, the processing unit refers to the storage unit and selects a second keyword having a higher priority of the second keyword belonging to the category The search request method according to claim 9 or 14, characterized by: The processing unit further includes:
Changing the priority of the second keyword according to the relationship between the third keyword extracted from the search target content included in the search result as the search condition and the second keyword stored in the storage unit The search request method according to claim 9 or 14, wherein:   A search request program for causing a computer to execute the search request method according to any one of claims 9 to 16.   A computer-readable recording medium storing a search request program for causing a computer to execute the search request method according to any one of claims 9 to 16. A search device for searching for a search target content based on a search condition requested from the search request device according to any one of claims 1 to 8,
A search device comprising: a processing unit that reads a search result as the search condition from a storage unit and transmits the result to the search request device.   The search program for operating the process part of the said search device in the search device of Claim 19.

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