JP5374938B2 - Related information registration apparatus, related information registration method, and related information registration program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To reduce processing loads to be applied to a creator when registering words and a linked URL. <P>SOLUTION: A component in which related information is set and the related information are extracted from an optional document including the component in which the related information for relating the component included in the document to another document is set, and the extracted component and related information are correspondingly registered in a related information storage part for storing related information to be related to another document correspondingly to the component. Then, an intra-range component is extracted by adopting a point in which the extracted component is positioned as a base in the optional document and the intra-range component is registered correspondingly to each combination of the extracted component and related information. <P>COPYRIGHT: (C)2010,JPO&amp;INPIT

Description

  The present invention relates to a related information registration apparatus, a related information registration method, and a related information registration program.

  Conventionally, an automatic link generation technique (Auto Link) for setting a link tag for a word or phrase in a text is known. Specifically, in the link automatic generation technology, the computer holds in advance a link setting dictionary in which a phrase is associated with a link destination URL (Uniform Resource Locator). Here, when the text is designated by the user, the computer identifies the words registered in the link setting dictionary among the words existing in the designated text. Then, the computer sets a link tag to the link destination URL registered in the link setting dictionary for the identified word (for example, Patent Documents 1 and 2).

  In addition, for example, in the link automatic generation technique, a registration method in which a user manually registers a phrase and a link destination URL in a link setting dictionary is used (for example, Patent Document 3).

Japanese Patent Laid-Open No. 10-334086 (page 1-5, FIG. 1) JP 2003-108425 A (page 8-9, FIG. 1) JP 2006-004308 A (page 1-4, FIG. 1)

  By the way, in the conventional registration method described above, all the processing for storing the phrase and the link destination URL in the link setting dictionary is performed by the user, and there is a problem that a great processing load is imposed on the user. It was.

Therefore, the present invention has been made to solve the above-described problems of the prior art,
It is an object of the present invention to provide a related information registration device, a related information registration method, and a related information registration program that can reduce the processing load on the creator.

  A configuration in which the related information is set from an arbitrary document including a component in which related information for associating the component included in the document with another document is set in order to solve the above-described problem and achieve the object. An extraction step for extracting the element and the related information is provided. Further, the information processing apparatus includes a registration step of registering the component information extracted by the extraction step and the related information in association with each other in a related information storage unit that stores the related information associated with the other document in association with the component.

  It is possible to reduce the processing load on the creator.

  Exemplary embodiments of a related information registration apparatus, a related information registration method, and a related information registration program according to the present invention will be described below in detail with reference to the accompanying drawings. In the following, the outline of the related information registration apparatus according to the first embodiment, the configuration of the related information registration apparatus, and the flow of processing will be described in order, and then other embodiments will be described.

[Outline of related information registration device]
First, the outline of the related information registration apparatus 300 according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram for explaining the outline of the related information registration apparatus according to the first embodiment.

  As shown in the figure, the related information registration apparatus 300 according to the first embodiment stores a link destination URL (also referred to as “related information”) in association with a phrase (also referred to as “component”). (Also referred to as “related information storage unit”). For example, in the related information registration apparatus 300, the dictionary storage unit 403 stores the link destination URL “AAA.jp” in association with the phrase “AAA company”.

  Here, as illustrated in (1) of FIG. 1, the related information registration apparatus 300 according to the first embodiment can link URLs from arbitrary documents (extraction target documents) including words / phrases for which link destination URLs are set. And the link destination URL are extracted. For example, in the example shown in (1) of FIG. 1, the related information registration device 300, from the document, the phrase “BBB company” in which the link destination URL “BBB.jp” is set, and the link destination URL “BBB.jp”. Is extracted.

  Then, as illustrated in (2) of FIG. 1, the related information registration device 300 according to the first embodiment registers the link destination URL and the phrase in association with each other in the dictionary storage unit 403. For example, the phrase “BBB company” And the link destination URL “BBB.jp” are registered in association with each other.

  For this reason, according to the related information registration apparatus 300 according to the first embodiment, it is possible to reduce the processing load on the creator when the phrase and the link destination URL are registered in the dictionary storage unit 403. is there.

[Configuration of related information registration device]
Next, the configuration of the related information registration apparatus 300 shown in FIG. 1 will be described with reference to FIG. FIG. 2 is a block diagram for explaining the configuration of the related information registration apparatus according to the first embodiment. As shown in the figure, the related information registration apparatus 300 includes a storage unit 400 and a control unit 500, is connected to the Internet 100, and is connected from the client 200.

  The client 200 is connected to the related information registration device 300, inputs a setting target document for setting a link destination URL to the related information registration device 300, and a document for which registration processing has been performed by the related information registration device 300. Is received from the related information registration device 300.

  The storage unit 400 stores data necessary for registration processing for registering link destination URLs and setting processing for setting link destination URLs, and includes a WEB page storage unit 401, a dictionary candidate storage unit 402, and a dictionary storage unit 403. .

  The WEB page storage unit 401 is connected to the WEB page collection unit 501 and the dictionary candidate extraction unit 502, and stores a WEB page. The WEB page is uniquely identified from other WEB pages by “URL”. Specifically, as illustrated in FIG. 3, the WEB page storage unit 401 stores “WEB page content” that is the content of the WEB page identified by “URL” in association with “URL”. FIG. 3 is a diagram for explaining an example of information stored in the WEB page storage unit according to the first embodiment. For example, the WEB page storage unit 401 associates the URL “a.jp” as an example of the WEB page content with the WEB page content “President <a href='aaa.jp'> AAA </a>”. Is memorized.

  Also, the association between the URL and the WEB page contents is collected by connecting to the Internet 100 by the WEB page collection unit 501, registered in the WEB page storage unit 401, extracted by the dictionary candidate extraction unit 502, and then dictionary candidates It is deleted from the WEB page storage unit 401 by the extraction unit 502.

  Note that <a href='aaa.jp'> AAA </a> shown in FIG. 3 is a link tag (anchor tag) that is associated with a WEB page uniquely identified by the URL “aaa.jp”. Yes, it is a hyperlink to a WEB page uniquely identified by the URL “aaa.jp”. Here, the link destination URL is information for uniquely identifying another associated document when the association is set for the phrase, for example, <a href = 'aaa. In jp '> and </a>, “aaa.jp” corresponds. In other words, for example, in the WEB page content "President of <a href='aaa.jp'> AAA </a>", a hyperlink to the WEB page uniquely identified by the link destination URL "aaa.jp" Is set for the phrase “AAA”.

  The dictionary candidate storage unit 402 is connected to the dictionary candidate extraction unit 502 and the dictionary creation unit 503, and stores candidate information registered in the dictionary storage unit 403. Specifically, as illustrated in FIG. 4, the dictionary candidate storage unit 402 associates “context information” with “link source URL” for each association between “anchor character string” and “link destination URL”. Add and remember. FIG. 4 is a diagram for explaining an example of information stored in the dictionary candidate storage unit according to the first embodiment.

  Here, the anchor character string is a word / phrase in which a link tag of a word / phrase in the extraction target document is set. For example, a word / phrase “AAA” in which a hyperlink to the link destination URL “aaa.jp” is set. Is applicable. The link source URL is information that uniquely specifies the WEB page from which the “anchor character string” and the “link destination URL” are extracted. For example, the link source URL corresponds to the URL “a.jp” (see FIG. 3) for identifying the WEB page from which the anchor character string “AAA” and the link destination URL “aaa.jp” are extracted.

  The context information (also referred to as “in-range component”) is a phrase included in a predetermined range based on the position of the anchor character string among the phrases in the extraction target document. For example, the context information includes words located within a predetermined number of characters (for example, 10 characters) among words before and after the anchor character string, all words included in one sentence including the anchor character string, and the like. Applicable. The predetermined range is set in advance by the user.

  For example, in the context of the WEB page content “President of <a href='aaa.jp'> AAA </a>”, the context information is “stock,” which is a phrase contained in a document containing the anchor character string “AAA”. “Company” and “President” are applicable.

  That is, for example, in the example illustrated in FIG. 4, the dictionary candidate storage unit 402 associates the context information “corporation, president” with the link source in association with the anchor character string “AAA” and the link destination URL “aaa.jp”. The URL “a.jp” is stored.

  Further, the association between the anchor character string, the link destination URL, the context information, and the link source URL is extracted from the WEB page storage unit 401 by the dictionary candidate extraction unit 502 and registered in the dictionary candidate storage unit 402, and the dictionary creation unit 503. Is extracted from the dictionary candidate storage unit 402. Thereafter, the association between the anchor character string, the link destination URL, the context information, and the link source URL is deleted from the dictionary candidate storage unit 402 by the dictionary creation unit 503.

  The dictionary storage unit 403 (also referred to as “related information storage unit”) is connected to the dictionary creation unit 503 and the related information setting unit 504. Further, as illustrated in FIG. 5, the dictionary storage unit 403 stores “number-of-times context information”, “threshold value”, and “link destination URL” in association with “dictionary heading”. FIG. 5 is a diagram for explaining an example of information stored in the dictionary storage unit according to the first embodiment.

  Here, the “dictionary headline” is a word / phrase for which a link destination URL is set by the related information setting unit 504, and corresponds to “AAA” in the example shown in FIG. The “numbered context information” is information in which each context information is associated with the number of times the context information is extracted in association with a combination in which the anchor character string and the link destination URL are the same. In the example shown in FIG. 5, “stock company: 1”, “president: 2”, and the like are applicable. Here, “corporation: 1” means that the context information “corporation” is associated with the combination of the anchor character string “AAA” and the link destination URL “aaa.jp” by the dictionary candidate extraction unit 502. Indicates that it has been extracted once. The “threshold value” is related information when determining whether or not to set a link destination URL for the same phrase as the dictionary heading in the phrase included in the document for which the link destination URL is set. This value is used by the setting unit 504. For example, in the example shown in FIG. The threshold value is a value calculated by the dictionary creation unit 503.

  For example, in the example illustrated in FIG. 5, the dictionary storage unit 403 links the numbered context information “corporation: 1, president: 2, manager: 1” and the threshold value “3” in association with the dictionary heading “AAA”. The destination URL “aaa.jp” is stored.

  Further, the association between “dictionary heading”, “context information with number of times”, “threshold value”, and “link destination URL” is registered in the dictionary storage unit 403 by the dictionary creation unit 503 and used by the related information setting unit 504. .

  The control unit 500 includes a web page collection unit 501, a dictionary candidate extraction unit 502, a dictionary creation unit 503, and a related information setting unit 504, and controls registration processing and setting processing.

  The WEB page collection unit 501 is connected to the WEB page storage unit 401, the dictionary candidate extraction unit 502, and the Internet 100. For example, when the collection timing is set in advance, the WEB page collection unit 501 is connected to the Internet 100 and acquires the contents of the WEB page. The web page content is registered in the web page storage unit 401. For example, the WEB page collection unit 501 associates the URL page “a.jp” with the content of the WEB page “President of <a href='aaa.jp'> AAA </a>”. (See FIG. 3).

  Further, when the WEB page collection unit 501 registers the WEB page content in the WEB page storage unit 401, the WEB page collection unit 501 transmits to the dictionary candidate extraction unit 502 that the WEB page content has been registered.

  Dictionary candidate extraction unit 502 (also referred to as “extraction step” or “in-scope extraction step”) is connected to WEB page collection unit 501, WEB page storage unit 401, and dictionary candidate storage unit 402. Also, when the dictionary candidate extraction unit 502 receives from the WEB page collection unit 501 that the WEB page contents have been registered, the dictionary candidate extraction unit 502 extracts the anchor character string, the link destination URL, and the context information from the WEB page storage unit 401.

  The point of extracting the anchor character string and the link destination URL will be described. The dictionary candidate extraction unit 502 reads one WEB page content stored in the WEB page storage unit 401 and extracts one link tag included in the read WEB page. Then, the dictionary candidate extraction unit 502 extracts a link destination URL included in the link tag, and extracts a phrase (anchor character string) in which the link tag is set.

  For example, the dictionary candidate extraction unit 502 starts with the link tag <a href='aaa.jp'> </a> from the WEB page content "President of Co., Ltd. <a href='aaa.jp'> AAA </a>". And the anchor character string “AAA” and the link destination URL “aaa.jp” are extracted.

  The point of extracting context information will be described. When the anchor character string is extracted, the dictionary candidate extraction unit 502 extracts, as context information, a word / phrase included in a predetermined range with the anchor character string as a base point in the extraction target document. Specifically, the dictionary candidate extraction unit 502 includes, as context information, a word or phrase positioned within a predetermined number of characters (for example, 10 characters) out of words before and after the anchor character string, and an anchor character string. Extract all the terms in one document.

  For example, the dictionary candidate extraction unit 502 includes, as context information, a document including the anchor character string “AAA” in the WEB page content “President of <a href='aaa.jp'> AAA </a>”. The words “corporation” and “president” are extracted.

  Further, the dictionary candidate extraction unit 502 registers the anchor character string, the link destination URL, the link source URL, and the context information in the dictionary candidate storage unit 402. Specifically, the dictionary candidate extraction unit 502 associates the anchor character string extracted from the WEB page content with the link destination URL, and sets the “URL” associated with the WEB page content as the “link source URL”. It is registered in the dictionary candidate storage unit 402. The dictionary candidate extraction unit 502 registers the context information extracted from the WEB page contents in the dictionary candidate storage unit 402 in association with the anchor character string and the link destination URL.

  For example, the dictionary candidate extraction unit 502 associates the anchor character string “AAA” and the link destination URL “aaa.jp” with the context information “Corporation, President” and the link source URL “a.jp” as a dictionary. Register in the candidate storage unit 402.

  Further, the dictionary candidate extraction unit 502 determines whether or not there is an unprocessed link tag in the read WEB page. If there is, the dictionary candidate extraction process continues until there is no unprocessed link tag. Similarly, the dictionary candidate extraction unit 502 determines whether there is an unprocessed WEB page. If there is, the dictionary candidate extraction process continues until there is no unprocessed WEB page.

  Further, the dictionary candidate extraction unit 502 deletes the association between the WEB page contents extracted from the anchor character string and the URL and the URL from the WEB page storage unit 401. Further, when registering an anchor character string or the like in the dictionary candidate storage unit 402, the dictionary candidate extraction unit 502 sends information indicating that it has been registered in the dictionary candidate storage unit 402 to the dictionary creation unit 503.

  The dictionary creation unit 503 (also referred to as “registration step”, “in-range registration step”, and “number of times registration step”) is connected to the dictionary candidate storage unit 402, the dictionary storage unit 403, and the dictionary candidate extraction unit 502. When the dictionary creation unit 503 receives information indicating that it has been registered in the dictionary candidate storage unit 402 from the dictionary candidate extraction unit 502, the dictionary creation unit 503 extracts a dictionary heading, a link destination URL, and context information from the dictionary candidate storage unit 402. Register in the storage unit 403. Further, the dictionary creation unit 503 calculates the number of times and the threshold value and registers them in the dictionary storage unit 403.

  Specifically, as illustrated in FIG. 6, the dictionary creation unit 503 reads all information associated with the combination in which the anchor character string and the link destination URL are the same from the dictionary candidate storage unit 402. The combination of the anchor character string and the link destination URL is also referred to as a dictionary DB key. FIG. 6 is a diagram for explaining registration processing by the dictionary creation unit in the first embodiment. For example, as illustrated in (1) of FIG. 6, the dictionary creation unit 503 uses context information “corporation” as information associated with a combination of the anchor character string “AAA” and the link destination URL “aaa.jp”. "President" and context information "Director" and "President" are read from the dictionary candidate storage unit 402.

  Also, as shown in FIG. 7, the dictionary creation unit 503 registers the anchor character string and the link destination URL in the dictionary storage unit 403, specifically, registers the anchor character string as a “dictionary heading”. The link destination URL is registered in association with the “dictionary headline”. FIG. 7 is a diagram for explaining registration processing by the dictionary creation unit in the first embodiment. For example, as shown in FIG. 7 (1), the dictionary creation unit 503 registers the anchor character string “AAA” in the dictionary storage unit 403 as a dictionary heading “AAA”, and links the dictionary heading “AAA” in association with the dictionary heading “AAA”. The destination URL “aaa.jp” is registered in the dictionary storage unit 403.

  In addition, the dictionary creation unit 503 calculates the number of times each context information is extracted in association with the combination in which the phrase and the link destination URL are the same, and the context storage unit 403 associates each context information with the number of times. Register with. For example, the dictionary creation unit 503 calculates the number of times “1” for the context information “corporation”, calculates the number of times “2” for the context information “president”, and calculates the number of times “1” for the context information “department”. . Then, for example, as shown in (2) of FIG. 7, the dictionary creation unit 503 associates the context information “corporation: 1”, “president: 2”, “department: 1” with the dictionary heading “AAA”. Register in the dictionary storage unit 403.

  Further, as illustrated in (3) of FIG. 7, the dictionary creation unit 503 calculates a threshold value for each dictionary heading and registers the threshold value in the dictionary storage unit 403, and associates the threshold value “3” with the dictionary heading “AAA”, for example. ".

  Here, an example of a method for calculating the threshold will be described. As an example, the context information “corporation” “president” and the context information “department manager” “president” are read as information associated with the combination in which the anchor character string and the link destination URL are the same. explain. In addition, the number of times associated with each context information is “corporation: 1”, “president: 2”, and “manager: 1”.

  Here, the dictionary creation unit 503 calculates the sum of the number of times associated with the context information for each combination read from the dictionary candidate storage unit 402. For example, for a combination in which context information “corporation” and “president” are associated, the dictionary creation unit 503 is “corporation: 1” and “president: 2”, so that the sum of the numbers is “3”. calculate. Similarly, the dictionary creation unit 503 calculates that the sum of the number of times is “3” for the combination associated with the context information “department manager” and “president”.

  Further, the dictionary creation unit 503 registers the smallest value in the dictionary storage unit 403 as a threshold value among the sums of the numbers calculated for each combination. For example, the threshold “3” is registered in association with the dictionary heading “AAA”. Note that the dictionary creation unit 503 may calculate an average value for the sum of the number of times calculated for each combination and use it as a threshold value.

  In other words, for example, the dictionary creation unit 503 associates the link heading URL “aaa.jp” with the dictionary heading “AAA” and the context information “Number of companies: 1” “President: 2” “Department manager: 1”. And the threshold value “3” is registered in the dictionary storage unit 403.

  Further, the dictionary creation unit 503 deletes the association including the anchor character string, the link destination URL, and the context information read from the dictionary candidate storage unit 402. For example, the case where the dictionary creation unit 503 reads the association between the anchor character string “AAA”, the link destination URL “aaa.jp”, and the context information “corporation” “president” will be described. Further, it is assumed that the dictionary creation unit 503 reads the association between the anchor character string “AAA”, the link destination URL “aaa.jp”, and the context information “department manager” “president”. Here, the dictionary creation unit 503 associates the anchor character string “AAA” with the link destination URL “aaa.jp”, the context information “corporation”, “president”, and the link source URL “aaa.jp” as a dictionary candidate. Delete from the storage unit 402. Further, the dictionary creation unit 503 associates the anchor character string “AAA” with the link destination URL “aaa.jp”, the context information “department”, “president”, and the link source URL “aaa.jp” with a dictionary candidate storage unit. Delete from 402.

  The related information setting unit 504 sets a link destination URL for the setting target document received from the client 200 using the link destination URL stored in the dictionary storage unit 403. Specifically, the related information setting unit 504 stores words / phrases matching the dictionary heading stored in the dictionary storage unit 403 among the words / phrases included in the setting target document. A hyperlink to the link destination URL is set.

  In addition, the related information setting unit 504 calculates the degree of similarity using the number-of-times context information for a word that matches the dictionary heading stored in the dictionary storage unit 403 among the words included in the setting target document. Whether to set the destination URL is determined using the similarity. The similarity is information used when determining whether to set a link destination URL.

  Here, first, an example of a similarity calculation method will be described. For example, the related information setting unit 504 extracts other words / phrases within a predetermined range starting from a word / phrase that matches the dictionary heading stored in the dictionary storage unit 403 among the words / phrases included in the setting target document. . If there is a phrase that matches the context information among the extracted phrases, the sum of the number of times associated with the context information is calculated as the similarity.

  The related information setting unit 504 determines that the link destination URL is set when the similarity is a value equal to or greater than the threshold, and does not set the link destination URL when the similarity is a value less than the threshold. Is determined.

  For example, the related information setting unit 504 will describe a case where a document “AAA president Mr. Yamada and general manager Mr. Tanaka” is received from the client 200. Further, the dictionary storage unit 403 associates the dictionary heading “AAA” with the context information “Number: 1”, “President: 2”, “Director: 1”, the threshold “3”, and the link destination URL “aaa. jp "will be stored. In addition, the dictionary storage unit 403 stores the context information “Number Rating: 1”, “Evaluation: 1”, the threshold value “2”, and the link destination URL “kakuduke.jp” in association with the dictionary heading “AAA”. Will be described.

  Here, “AAA” matches the dictionary heading “AAA” among the phrases included in “Mr. Yamada, President of AAA and Mr. Tanaka, General Manager”. Therefore, the related information setting unit 504 extracts words / phrases around “AAA” from “AAA president Mr. Yamada and Mr. Tanaka”, and extracts, for example, the words “President” and “Manager”. Then, the related information setting unit 504 calculates the similarity for each of the dictionary headings “AAA”. That is, the related information setting unit 504 is “president: 2” and “department manager: 1” for the correspondence between the dictionary heading “AAA” and the link destination URL “aaa.jp”, so the similarity is “3”. Calculate that there is. Further, the related information setting unit 504 calculates that the similarity is “0” for the association between the dictionary heading “AAA” and the link destination URL “kakuduke.jp”.

  In addition, the related information setting unit 504 sets the link destination URL when there is a value equal to or greater than the threshold value among the calculated similarities. For example, the related information setting unit 504 sets the link destination URL “aaa.jp” for the phrase “AAA” included in “AAA president Yamada-san and general manager Tanaka-san”, and the link destination URL “kakuduke”. .jp "is not set.

  Similarly, a case will be described where, for example, a document “A rating of our company is the highest rated AAA” is received from the client 200. The related information setting unit 504 determines that the similarity is “0” for the association between the dictionary heading “AAA” and the link destination URL “aaa.jp”. Further, the related information setting unit 504 calculates that the similarity is “2” for the association between the dictionary heading “AAA” and the link destination URL “kakuduke.jp”. Then, the related information setting unit 504 does not set the link destination URL “aaa.jp” for the phrase “AAA” included in “the rating of our company is the highest rated AAA”, but the link destination URL “kakuduke” .jp "is set.

  Similarly, for example, a case where a document “AAA is a group name” is received from the client 200 will be described. The related information setting unit 504 determines that the similarity is “0” for the association between the dictionary heading “AAA” and the link destination URL “aaa.jp”. Further, the related information setting unit 504 calculates that the similarity is “0” for the association between the dictionary heading “AAA” and the link destination URL “kakuduke.jp”. Then, the related information setting unit 504 does not set the link destination URL “aaa.jp” for the word “AAA” included in “AAA is a group name”, but sets the link destination URL “kakuduke.jp”. Not set.

  In addition, the related information setting unit 504 sends the setting target document in which the link destination URL is set to the client 200. Note that an example of a detailed flow of the link destination URL setting process by the related information setting unit 504 will be described later, and the description thereof is omitted here.

  The related information registration apparatus 300 can be realized by an information processing apparatus such as a known personal computer, workstation, mobile phone, PHS (Personal Handyphone System), mobile communication terminal, or PDA (Personal Digital Assistant). it can. Specifically, a WEB page storage unit 401, a dictionary candidate storage unit 402, a dictionary storage unit 403, a WEB page collection unit 501, a dictionary candidate extraction unit 502, a dictionary creation unit 503, and a related information setting unit are included in a known PDA or the like. It can also be realized by mounting each function 504.

[Processing by related information registration device]
Next, processing by the related information registration device 300 according to the first embodiment will be described. In the following, the flow of WEB page registration processing, the flow of dictionary candidate registration processing, the flow of dictionary registration processing, and the flow of link destination URL setting processing will be described in order.

[WEB page registration process]
The flow of WEB page registration processing in the first embodiment will be described with reference to FIG. FIG. 8 is a flowchart for explaining the flow of the WEB page registration process in the first embodiment.

  As shown in FIG. 8, the WEB page collection unit 501 connects to the Internet 100 and acquires the contents of the WEB page when the preset registration timing is reached (Yes at Step S101) (Step S102). Then, the WEB page collection unit 501 registers the contents of the WEB page in the WEB page storage unit 401 (step S103). For example, the WEB page collection unit 501 associates the URL page “a.jp” with the content of the WEB page “President of <a href='aaa.jp'> AAA </a>”. Register with.

[Dictionary candidate registration process]
The flow of dictionary candidate registration processing in the first embodiment will be described with reference to FIG. FIG. 9 is a flowchart for explaining the flow of dictionary candidate registration processing according to the first embodiment.

  As shown in FIG. 9, when the dictionary candidate extraction unit 502 has reached the dictionary candidate registration timing (Yes in step S201), for example, when the fact that the WEB page content has been registered is received from the WEB page collection unit 501, the WEB page content is reduced. Are read out (step S202). Then, the dictionary candidate extraction unit 502 selects one link tag included in the read WEB page (step S203).

  Then, the dictionary candidate extraction unit 502 extracts an anchor character string from the selected link tag (step S204), and extracts a link destination URL (step S205). For example, the dictionary candidate extraction unit 502 starts with the link tag <a href='aaa.jp'> </a> from the WEB page content "President of Co., Ltd. <a href='aaa.jp'> AAA </a>". And the anchor character string “AAA” and the link destination URL “aaa.jp” are extracted.

  Then, the dictionary candidate extraction unit 502 extracts context information (step S206). That is, the dictionary candidate extraction unit 502 extracts words / phrases included in a predetermined range using the anchor character string as a base point in the extraction target document. For example, the dictionary candidate extraction unit 502 selects the anchor character string “AAA”. The words “corporation” and “president” that are included in the included document are extracted. Then, the dictionary candidate extraction unit 502 registers the link source URL and the context information in the dictionary candidate storage unit 402 in association with the anchor character string and the link destination URL (step S207).

  Then, the dictionary candidate extraction unit 502 determines whether there are still unprocessed link tags (step S208). Here, when it is determined that there is an unprocessed link tag (Yes at Step S208), the dictionary candidate extraction unit 502 repeats the processes from Steps S203 to S207 described above. On the other hand, when determining that there is no unprocessed link tag (No at Step S208), the dictionary candidate extraction unit 502 determines whether there is an unprocessed WEB page (Step S209). Here, when it is determined that there is an unprocessed WEB page (Yes at Step S209), the dictionary candidate extraction unit 502 repeats the processes from Steps S202 to S208 described above. On the other hand, when it is determined that there is no unprocessed WEB page (No at step S209), the dictionary candidate extraction unit 502 ends the dictionary candidate registration process.

[Dictionary registration process]
The flow of dictionary registration processing in the first embodiment will be described with reference to FIG. FIG. 10 is a flowchart for explaining the flow of the dictionary registration process in the first embodiment.

  As illustrated in FIG. 10, when the dictionary creation unit 503 has reached the dictionary registration timing (Yes in step S301), for example, when information indicating that it has been registered in the dictionary candidate storage unit 402 is received from the dictionary candidate extraction unit 502, the same dictionary DB All records (information) associated with the keys are read from the dictionary candidate DB (step S302). That is, the dictionary creation unit 503 reads all information associated with the combination in which the anchor character string and the link destination URL are the same from the dictionary candidate storage unit 402.

  Then, the dictionary creation unit 503 registers the anchor character string included in the dictionary DB key as a dictionary heading in the dictionary storage unit 403 (step S303). For example, the dictionary creation unit 503 registers the anchor character string “AAA” in the dictionary storage unit 403 as the dictionary heading “AAA”. Then, the dictionary creation unit 503 registers the link destination URL included in the dictionary DB key in the dictionary storage unit 403 (step S304). For example, the dictionary creation unit 503 registers the link destination URL “aaa.jp” in the dictionary storage unit 403 in association with the dictionary heading “AAA”.

  Then, the dictionary creation unit 503 calculates the number of times of each context information (step S305) and associates each context information with the number of times and registers it in the dictionary storage unit 403 (step S306). That is, the dictionary creation unit 503 calculates, for each context information, the number of times that the anchor character string and the link destination URL are extracted in association with the same combination, and stores the context information in correspondence with the number of times in the dictionary storage. Registered in the unit 403. For example, the dictionary creation unit 503 calculates the number of times “1” for the context information “corporation” and registers the context information “corporation: 1” in association with the dictionary heading “AAA”.

  Then, the dictionary creation unit 503 calculates a threshold value (step S307), and registers the threshold value in the dictionary storage unit 403 (step S308). For example, the dictionary creation unit 503 calculates a threshold value for each dictionary heading, and registers the threshold value “3” in association with the dictionary heading “AAA”, for example.

  Then, the dictionary creation unit 503 determines whether there is an unprocessed dictionary DB key (step S309). Here, if the dictionary creation unit 503 determines that there is an unprocessed dictionary DB key (Yes at step S309), the process from steps S302 to S308 is repeated. On the other hand, if the dictionary creation unit 503 determines that there is no unprocessed dictionary DB key (No at step S309), the dictionary registration process ends.

[Link destination URL setting process]
The flow of the link destination URL setting process in the first embodiment will be described with reference to FIG. FIG. 11 is a flowchart for explaining the flow of the link destination URL setting process in the first embodiment.

  As illustrated in FIG. 11, when the setting target document is input from the client 200 (Yes in step S401), the related information setting unit 504 reads a dictionary heading from the dictionary storage unit 403 (step S402). For example, the related information setting unit 504 reads all dictionary headings registered in the dictionary storage unit 403. Then, the related information setting unit 504 determines whether the setting target document has the same word / phrase as the dictionary heading (step S403). If the related information setting unit 504 determines that there is no phrase identical to the dictionary heading (No at Step S403), the processing result is output (Step S412), and the link destination URL setting process ends. On the other hand, if the related information setting unit 504 determines that there is the same phrase as the dictionary headline (Yes in step S403), the related information setting unit 504 selects one dictionary headline (step S404). In other words, the related information setting unit 504 selects one dictionary heading that matches the phrase included in the setting target document.

  Then, the related information setting unit 504 reads one record for the selected dictionary heading (step S405). That is, the “link destination URL”, “number-of-times context information”, and “threshold value” associated with the selected dictionary heading are read out. Then, the related information setting unit 504 acquires context information from the setting target document (step S406), and calculates the similarity (step S407). For example, when the setting target document is “AAA president Yamada-san and department manager Tanaka-san” and the dictionary heading is “AAA”, “president” and “department manager” are extracted from the setting target document, The similarity is calculated to be “3”.

  Then, the related information setting unit 504 determines whether the similarity is greater than or equal to a threshold (step S408). Here, if the related information setting unit 504 determines that the similarity is greater than or equal to the threshold (Yes at Step S408), the related information setting unit 504 sets the link destination URL at the position where the dictionary heading appears (Step S409). For example, the related information setting unit 504 sets a link destination URL for “AAA” whose setting target document is “Mr. Yamada, President of AAA and Mr. Tanaka, General Manager”.

  When the related information setting unit 504 determines that the similarity is not greater than or equal to the threshold (No at Step S408), or determines that the similarity is greater than or equal to the threshold and sets the link destination URL (Step S409). Then, it is determined whether there is an unprocessed record for the selected dictionary heading (step S410). Here, when there is an unprocessed record (Yes at Step S410), the related information setting unit 504, for example, when there are two or more “AAA” in the setting target document, the process goes to Steps S405 to S309. Repeat the process. On the other hand, if there is no unprocessed record (No at Step S410), the related information setting unit 504 determines whether there is an unprocessed dictionary heading (Step S411). Here, if the related information setting unit 504 determines that there is an unprocessed record (Yes at step S411), for example, a dictionary other than “AAA” is included in the dictionary headline that matches the phrase included in the setting target document. If there is a headline, the processing from step S404 to S309 is repeated. On the other hand, when determining that there is no unprocessed record (No at Step S411), the related information setting unit 504 outputs the processing result (Step S412), and ends the link destination URL setting process.

[Effect of Example 1]
As described above, according to the first embodiment, the related information registration device 300 extracts an anchor character string and a link destination URL from an arbitrary document including the anchor character string. Further, the related information registration apparatus 300 registers the extracted phrase and the link destination URL in association with each other in the dictionary storage unit 403 that stores the link destination URL associated with another document in association with the phrase (dictionary heading). Thereby, according to Example 1, when registering a phrase and a link destination URL, it is possible to reduce the processing load to a creator.

  That is, according to the first embodiment, the automatic link dictionary that automatically assigns a link destination URL to a specific phrase in the text is automatically registered with reference to the WEB page, so that the load on the dictionary creation processing for the creator can be reduced.

  Further, according to the first embodiment, a point where an anchor character string to be extracted is located is set as a base point in an arbitrary document, context information that is a phrase included in a predetermined range from the base point is extracted, and the extracted anchor Since context information is registered in association with each combination of a character string and a link destination URL, it is possible to register context information in the link setting dictionary.

  As a result, it is determined whether or not the context information matches the conventional method in which the link destination URL is set by determining only whether or not the phrase in the setting target document matches the dictionary heading. It is possible to set a destination URL. For this reason, when setting a link destination URL, it is possible to set only an appropriate link destination URL.

  Also, according to the first embodiment, the frequency of extracting each context information in association with the combination in which the anchor character string and the link destination URL are the same is registered in association with each context information. It is possible to register a weight (number of times) for each.

  As a result, when setting the link destination URL, it is possible to determine whether or not to set the link destination URL in consideration of the importance (weighting, the number of times) of each context information. It is possible to set only the URL.

  So far, as the first embodiment, the method of registering in the dictionary storage unit 403 as another combination when the link destination URL is slightly different has been described, but the present invention is not limited to this. For example, even if the link destination URLs are different, if the context information is the same, they may be aggregated into one combination and registered in the dictionary storage unit 403.

  Therefore, in the second embodiment, if the context information is the same when the link destination URL is different in the combination of the dictionary heading and the link destination URL, the individual context information or threshold value associated with each dictionary heading is the same. A method for aggregating these will be described. In addition, below, the point similar to the related information registration apparatus 300 which concerns on Example 1 is demonstrated easily, or description is abbreviate | omitted.

  That is, as illustrated in FIG. 12, in the second embodiment, when a plurality of combinations having the same dictionary heading and context information are registered in the dictionary storage unit 403, the dictionary creation unit 503 selects a plurality of combinations. Aggregate into one combination. Here, as shown in FIG. 12, the dictionary storage unit 403 associates the dictionary heading “AAA” with the context information “Number: 1”, “President: 2”, the threshold “3”, and the link destination URL. It is assumed that “aaa.jp” is stored. FIG. 12 is a diagram for explaining the dictionary storage unit according to the second embodiment. In addition, the dictionary storage unit 403 associates with the dictionary heading “AAA”, the context information with the number “corporation: 3”, “president: 1”, the threshold value “3”, and the link destination URL “aaa.jp/test”. Remember. In addition, the dictionary storage unit 403 associates the dictionary heading “AAA” with the context information “Number: 1”, “President: 2”, the threshold “3”, and the link destination URL “aaa.jp/test3”. Remember.

  Here, in the related information registration apparatus 300, for example, when the dictionary creation unit 503 receives an instruction to collect from the user, the record of the same dictionary heading is read from the dictionary storage unit 403. For example, the dictionary creation unit 503 reads all information associated with the dictionary heading “AAA” and identifies associations having the same context information. For example, the dictionary creation unit 503 includes context information associated with the link destination URL “aaa.jp”, context information associated with the link destination URL “aaa.jp/test”, and link destination URL “aaa.jp/”. The context information associated with “test3” is identified as the same. Then, as illustrated in (1) of FIG. 12, the dictionary creation unit 503 aggregates each identified association into one association.

  Further, for example, the dictionary creation unit 503 calculates and associates the average value of the number of times associated with each piece of context information to be aggregated. For example, since the number of times associated with the context information “stock” is “1”, “3”, and “1”, the dictionary creation unit 503 associates the context information with the dictionary heading “AAA” with the number of times context information. “Co., Ltd .: 2 (here, rounded to the nearest decimal point as an example)” is registered in the dictionary storage unit 403. Similarly, the dictionary creation unit 503 registers the context information “President: 2” with the number of times in the dictionary storage unit 403 in association with the dictionary heading “AAA”.

  For example, the dictionary creation unit 503 calculates an average value for the threshold value and registers the average value in the dictionary storage unit 403. For example, since the threshold values are “3”, “3”, and “3”, the dictionary creation unit 503 registers the threshold value “3” in the dictionary storage unit 403.

  For example, the dictionary creation unit 503 registers each link destination URL to be aggregated in the dictionary storage unit 403 in association with the dictionary heading “AAA”. For example, the dictionary creation unit 503 registers the link destination URLs “aaa.jp, aaa.jp/test, aaa.jp/test3” in the dictionary storage unit 403 in association with the dictionary heading “AAA”.

  Here, a case where a link destination URL is set using one combination obtained by integrating a plurality of combinations will be described. When a plurality of link destination URLs are registered, the related information setting unit 504 selects a plurality of registered link destination URLs by a preset selection method, and sets the link destination URL. For example, when the link destination URLs “aaa.jp, aaa.jp/test, aaa.jp/test3” are registered, the related information setting unit 504, for example, among the registered link destination URLs, One link destination URL is selected at random. For example, the related information setting unit 504 selects the link destination URL “aaa.jp”. Then, the related information setting unit 504 sets the link destination URL “aaa.jp” for the word / phrase to be set.

  Here, the related information setting unit 504 is not limited to a random selection method as a method for selecting one link destination URL from a plurality of link destination URLs. For example, a plurality of link destination URLs may be compared to select a higher link destination URL. For example, “aaa.jp”, which is a higher-order URL among “aaa.jp, aaa.jp/test, aaa.jp/test3”, may be selected.

[Aggregation processing]
Next, the flow of aggregation processing in the second embodiment will be described with reference to FIG. FIG. 13 is a flowchart for explaining the flow of aggregation processing in the second embodiment.

  As illustrated in FIG. 13, when the dictionary creation unit 503 has reached the aggregation timing (Yes in step S <b> 501), for example, upon receiving an instruction to aggregate from the user, the dictionary storage unit 403 stores the same dictionary header record from the dictionary storage unit 403. Read (step S502). For example, the dictionary creation unit 503 reads all the information associated with the dictionary heading “AAA”. Then, the dictionary creation unit 503 identifies the records that have the same context information among the read records (step S503).

  Then, the dictionary creation unit 503 collects the identified records (step S504). That is, the dictionary creation unit 503 aggregates each identified association into one association. For example, among the information associated with the dictionary heading “AAA”, all the associations having the same context information are combined into one association. Aggregate into combinations.

[Effect of Example 2]
As described above, according to the second embodiment, when the link destination URL is different depending on the combination of the dictionary heading and the link destination URL, if the context information is the same, each of the individual headings associated with the dictionary heading is different. Collect context information and thresholds. As a result, the number of combinations of dictionary headings and link destination URLs registered in the dictionary storage unit 403 can be reduced.

  That is, in a method that does not aggregate combinations of dictionary headings and link destination URLs, if the link destination URLs are slightly different, combinations of different dictionary headings and link destination URLs are registered as different combinations. Here, even if the link destination URLs are different, there are few cases where problems occur even if they are integrated into one link destination URL. For example, there is a URL (for example, “aaa.jp”) that identifies a homepage of a company and a URL (for example, “aaa.jp/test”) that identifies a page below the homepage, and which is a link destination URL This applies to the case where no problem occurs even when used as. In such a case, according to the second embodiment, it is possible to aggregate combinations of dictionary headings and link destination URLs.

  Although the embodiments of the present invention have been described so far, the present invention may be implemented in other embodiments besides the above-described embodiments. Therefore, other embodiments will be described below.

[Storage unit]
For example, in the first embodiment, the information registered in the WEB page storage unit 401 and the dictionary candidate storage unit 402 is described as being deleted after being read out by the dictionary candidate extraction unit 502 and the dictionary creation unit 503. However, the present invention is not limited to this, and the dictionary candidate extraction unit 502 and the dictionary creation unit 503 may not delete information from the WEB page storage unit 401 and the dictionary candidate storage unit 402.

[the Internet]
For example, in the first embodiment, the case where the WEB page is collected by connecting to the Internet has been described. However, the present invention is not limited to this, and the WEB page may be collected in an arbitrary network. . For example, a web page may be collected by connecting to an intranet.

[documents]
For example, in the first embodiment, the method of extracting from the contents of the WEB page has been described. However, the present invention is not limited to this, and may be extracted from an arbitrary sentence. For example, when a user inputs a document (for example, a document file) in which a link tag is set, an anchor character string and a link destination URL may be extracted from the document.

[Number of times]
Further, for example, in the first and second embodiments, the method of storing the number of times associated with each context information has been described. However, the present invention is not limited to this, and for example, the frequency or weighting instead of the number of times. Or importance may be associated. For example, the dictionary storage unit 403 has, as the frequency, the degree to which each context information is extracted (for example, the number of times the context information is extracted / the “combination of anchor character string and link destination URL” associated with the context information). The number of times of extraction) may be stored.

[Combination of Examples]
Further, for example, in the first embodiment, in addition to the method of automatically extracting the anchor character string and the link destination URL, (1) the context information is registered, and (2) the number of times is registered in each context information. The method used together was described. Further, in the second embodiment, (3) the technique of aggregating dictionary headings and link destination URLs has been described. However, the present invention is not limited to the method described in the first and second embodiments. For example, in addition to the method of automatically extracting the anchor character string and the link destination URL, (1) to (3 ), Any one or a plurality of techniques may be combined.

[System configuration]
Further, for example, all or a part of the processes described as being automatically performed among the processes described in the present embodiment may be manually performed. For example, the aggregation process may be performed manually, or the number, frequency, and importance associated with each context information may be manually associated. In addition, the processing procedures, control procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified (for example, 1 to 13).

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, to explain using the example shown in FIG. 2, the WEB page storage unit 401, the dictionary candidate storage unit 402, and the dictionary storage unit 403 may be integrated into one storage unit. Another device may be distributed.

[program]
The various processes described in the above embodiments can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. In the following, an example of a computer that executes a related information registration program having the same function as that of the above embodiment will be described with reference to FIG. FIG. 14 is a diagram for explaining a program of the related information registration apparatus according to the first embodiment.

  As shown in the figure, the related information registration apparatus 3000 according to the first embodiment includes an operation unit 3001, a microphone 3002, a speaker 3003, a display 3005, a communication unit 3006, a CPU 3010, a ROM 3011, an HDD 3012, and a RAM 3013 connected by a bus 3009 or the like. It is configured.

  The ROM 3011 stores a control program that exhibits the same functions as the WEB page collection unit 501, dictionary candidate extraction unit 502, dictionary creation unit 503, and related information setting unit 504 described in the first embodiment, that is, the same program. As shown in the figure, a WEB page collection program 3011a, a dictionary candidate extraction program 3011b, a dictionary creation program 3011c, and a related information setting program 3011d are stored in advance. Note that these programs 3011a to 3011d may be integrated or separated as appropriate, similarly to each component of the related information registration apparatus shown in FIG.

  Then, the CPU 3010 reads these programs 3011a to 3011d from the ROM 3011 and executes them, and as shown in FIG. 14, for each program 3011a to 3011d, a WEB page collection process 3010a, a dictionary candidate extraction process 3010b, It functions as a dictionary creation process 3010c and a related information setting process 3010d. Each process 3010a to 3010d corresponds to the WEB page collection unit 501, the dictionary candidate extraction unit 502, the dictionary creation unit 503, and the related information setting unit 504 shown in FIG.

  The HDD 3012 is provided with a WEB page table 3012a, a dictionary candidate table 3012b, and a dictionary table 3012c. Each table 3012a to 3012c corresponds to the WEB page storage unit 401, the dictionary candidate storage unit 402, and the dictionary storage unit 403 shown in FIG.

  Then, the CPU 3010 reads the WEB page table 3012a, the dictionary candidate table 3012b, and the dictionary table 3012c, stores them in the RAM 3013, and stores the WEB page data 3013a, dictionary candidate data 3013b, dictionary data 3013c stored in the RAM 3013. Is used to execute a related information registration program.

[Others]
The related information registration apparatus 300 described in the first embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program can be distributed via a network such as the Internet. The program can also be executed by being recorded on a computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, and a DVD and being read from the recording medium by the computer.

  The following appendices are further disclosed with respect to the embodiments including the first to third embodiments.

(Supplementary Note 1) Extracting a component set with the related information and the related information from an arbitrary document including a component set with related information for associating the component included in the document with another document A registration step of registering the component element extracted by the extraction step and the related information in association with each other in a related information storage unit that stores the association information associated with the other document in association with the component element;
The related information registration method characterized by including.

(Additional remark 2) The range which extracts the component in the range which is a component included in the predetermined range from the base point in which the point where the component extracted by the extraction step is located is a base point An internal extraction step;
In-range registration step of registering the in-range constituent elements extracted by the in-range extraction step in the related information storage unit in association with each combination of the constituent elements extracted by the extraction step and the related information;
The related information registration method according to supplementary note 1, further comprising:

(Supplementary Note 3) In association with each in-range component registered by the in-range registration step, the related information storage unit is associated with a combination in which the component and the related information are the same. The related information registration method according to appendix 2, further comprising a number registration step of registering the number of times each component within the range is extracted.

(Supplementary Note 4) Related information storage means for storing related information for associating a component included in a document with another document in association with the component,
Extraction means for extracting the constituent element for which the relevant information is set and the relevant information from any document including the constituent element for which the relevant information to be associated with another document is set;
Registration means for associating the relevant information extracted by the extracting means with the constituent elements and registering them in the relevant information storage means;
A related information registration device comprising:

(Additional remark 5) Extract the component in which the relevant information is set, and the related information from an arbitrary document including the component in which the related information for associating the component contained in the document with another document is set Extraction procedure;
A registration procedure for registering the component information extracted by the extraction procedure in association with the related information in the related information storage unit that stores the related information associated with another document in association with the component;
The related information registration program characterized by causing a computer to execute.

It is a figure for demonstrating the outline | summary of the related information registration apparatus which concerns on Example 1. FIG. It is a block diagram for demonstrating the structure of the related information registration apparatus which concerns on Example 1. FIG. 6 is a diagram for explaining an example of information stored in a WEB page storage unit in Embodiment 1. FIG. It is a figure for demonstrating an example of the information memorize | stored in the dictionary candidate memory | storage part in Example 1. FIG. FIG. 6 is a diagram for explaining an example of information stored in a dictionary storage unit according to the first embodiment. It is a figure for demonstrating the registration process by the dictionary creation part in Example 1. FIG. It is a figure for demonstrating the registration process by the dictionary creation part in Example 1. FIG. 6 is a flowchart for explaining the flow of a WEB page registration process in the first embodiment. It is a flowchart for demonstrating the flow of the dictionary candidate registration process in Example 1. FIG. 7 is a flowchart for explaining a flow of dictionary registration processing according to the first embodiment. 6 is a flowchart for explaining a flow of a link destination URL setting process in the first embodiment. It is a figure for demonstrating the dictionary memory | storage part in Example 2. FIG. 12 is a flowchart for explaining a flow of aggregation processing in the second embodiment. It is a figure for demonstrating the program of the related information registration apparatus which concerns on Example 1. FIG.

Explanation of symbols

100 Internet 200 Client 300 Related Information Registration Device 400 Storage Unit 401 Web Page Storage Unit 402 Dictionary Candidate Storage Unit 403 Dictionary Storage Unit 500 Control Unit 501 Web Page Collection Unit 502 Dictionary Candidate Extraction Unit 503 Dictionary Creation Unit 504 Related Information Setting Unit

Claims (4)

Computer
An extraction step for extracting a component set with the related information and the related information from a document including the component set with related information for associating the component included in the document with another document, and another document A registration step of registering the component information extracted in the extraction step in association with the related information in a related information storage unit that stores the related information associated with the component in association with each other;
A base point of the point component extracted by the extraction step are located in said document, a range extracting a range in the components is a component contained in a predetermined range from the base point,
In-range registration step of registering the in-range constituent elements extracted by the in-range extraction step in the related information storage unit in association with each combination of the constituent elements extracted by the extraction step and the related information;
When the related information is newly set, if there is a matching constituent element that is a constituent element that matches the constituent element stored in the related information storage unit in the document to be processed, the document to be processed is Whether in-range constituent elements for the matching constituent elements are extracted, and whether the in-range constituent elements registered in the related information storage unit in association with the constituent elements match the in-range constituent elements for the matching constituent elements Related information registration method and executes the related information setting step of setting the related information to the matching component based. The computer
Corresponding to each in-range component registered in the in-range registration step, the in-range component corresponding to the combination in which the component and the related information are the same in the related information storage unit Further performing a number registration step of registering the number of times each is extracted ,
The related information registration method according to claim 1, wherein the related information setting step sets the related information based on each of the in-range components weighted by the number of times registered by the number of times registration step. . Related information storage means for storing related information for associating a component included in a document with another document in association with the component;
Extraction means for extracting a component for which the related information is set and the related information from a document including the component for which the related information to be associated with another document is set;
Registration means for associating the relevant information extracted by the extracting means with the constituent elements and registering them in the relevant information storage means;
In-range extraction means for extracting, as a base point in the document , a point where the constituent element extracted by the extraction means is located, and extracting an in-range constituent element that is a constituent element included in a predetermined range from the base point;
In-range registration means for registering the in-range constituent elements extracted by the in-range extraction means in the related information storage means in association with each combination of the constituent elements extracted by the extraction means and related information;
When newly setting the related information, if a matching constituent element that is a constituent element that matches the constituent element stored in the related information storage means is present in the document to be processed, the document to be processed is Whether in-range constituent elements for the matching constituent elements are extracted, and whether the in-range constituent elements registered in the related information storage unit in association with the constituent elements match the in-range constituent elements for the matching constituent elements And a related information setting unit configured to set the related information in the matching component based on the related information registration device. An extraction procedure for extracting a component set with the related information and the related information from a document including the component set with related information for associating the component included in the document with another document;
A registration procedure for registering the component information extracted by the extraction procedure in association with the related information in the related information storage unit that stores the related information associated with another document in association with the component;
In-range extraction procedure for extracting a component in a range that is a component included in a predetermined range from the base point, the point where the component extracted by the extraction procedure is located, as a base point in the document ;
An in-range registration procedure for registering the in-range component extracted by the in-range extraction procedure in the related information storage unit in association with each combination of the component extracted by the extraction procedure and related information;
When the related information is newly set, if there is a matching constituent element that is a constituent element that matches the constituent element stored in the related information storage unit in the document to be processed, the document to be processed is Whether in-range constituent elements for the matching constituent elements are extracted, and whether the in-range constituent elements registered in the related information storage unit in association with the constituent elements match the in-range constituent elements for the matching constituent elements A related information registration program for causing a computer to execute a related information setting procedure for setting the related information in the matching component.

Images