JP2005018218A - Device and method for deploying knowledge information - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide mechanically discernible knowledge information data generated on the basis of contents data. <P>SOLUTION: A term (basic data) for specifying knowledge information is input into a basic data input means 1101. A knowledge information extracting means 1103 extracts the knowledge information regarding the input term from a knowledge information database 400. A device for deploying knowledge information 1105 outputs the knowledge information extracted from the database 400 by the extracting means 1103 to the outside. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a knowledge information expanding apparatus and method for expanding and outputting machine usable knowledge information data generated based on content data.
[0002]
[Prior art and problems]
Conventionally, for example, when referring to an electronic encyclopedia item, when trying to search a Web page related to the item, the user selects a word that seems to be characteristic from the contents of the content However, it was necessary to manually enter the search character string input field of the Internet search engine. At this time, a simple manual operation occurs, which is not convenient.
[0003]
In order to improve the accuracy of such searches, it is necessary to select not only the title character string of the item but also a plurality of characteristic words. This is a work of copying and pasting the character string from the contents of the content being referred to by the user. In addition, it is inconvenient because it requires a work of associating and inputting words.
[0004]
A technique is known in which a field code for an input keyword is recorded and used for keyword search to narrow down a search target (for example, Patent Document 1).
[0005]
[Patent Document 1]
[0006]
Japanese Patent Laid-Open No. 2002-132824
[Means for Solving the Problems and Effects of the Invention]
(1) (2) The knowledge information expansion device of the present invention provides:
A knowledge information expansion device that expands related knowledge information based on basic data,
Basic data input means for entering basic data,
Knowledge information that receives basic data from the basic data input means and extracts knowledge information related to the basic data from a knowledge information database in which terms used to define a title are recorded as knowledge information in association with the title Extraction means,
Knowledge information expansion means for outputting the knowledge information extracted by the knowledge information extraction means;
It is provided with.
[0007]
Thereby, it becomes possible to output and provide character string data related to a specific term to an external device. In addition, since the word defining the term is selected for the character string data, for example, when it is used together as a search keyword when performing a search using an Internet search engine or the like, a highly accurate result can be obtained. .
[0008]
(3) A knowledge information expansion device according to the present invention provides:
The knowledge information extracted by the knowledge information providing means is output to a predetermined application.
[0009]
Thus, it is possible to output character string data related to a specific term, and the application can use character string data that can be machine-recognized.
[0010]
(4) A knowledge information expansion device according to the present invention provides:
The knowledge name is a knowledge word obtained by extracting title data from the content data recorded in association with the title and content, and a definition word associated with the knowledge name extracted from each word included in the feature part data of the content data Data.
[0011]
As a result, it is possible to output and provide definition word data related to a knowledge name that is a specific term to an external device.
[0012]
(5) A knowledge information expansion device according to the present invention provides:
The definition word data is composed of main definition word data that best represents the characteristics of the content data and auxiliary definition word data other than the main definition word data.
[0013]
As a result, it is possible to output and provide main definition word data and auxiliary definition word data related to a knowledge name that is a specific term to an external device.
[0014]
(6) A knowledge information expansion device according to the present invention provides:
The knowledge information includes related word data representing contents related to the title based on contents of the contents data.
[0015]
This makes it possible to output and provide knowledge information including related word data to an external device.
[0016]
(7) The knowledge information expansion device of the present invention provides:
The feature portion data is obtained by extracting words obtained by morphological analysis of sentences constituting the content data.
[0017]
This makes it possible to provide words automatically extracted from the contents of the content data as knowledge information.
[0018]
(8) A knowledge information expansion device according to the present invention provides:
The main definition word data is a tail word of feature portion data determined to be a noun as a result of morphological analysis.
[0019]
As a result, it is possible to provide the most characteristic expression word automatically extracted from the content of the content data as knowledge information.
[0020]
(9) The knowledge information expansion device of the present invention provides:
The main definition word data is a word included in a receiving clause having a dependency relationship with a dependency clause including a knowledge name in a sentence constituting the content of the content data.
[0021]
Thereby, it becomes possible to provide the most characteristic expression word extracted from the content of the content data as knowledge information.
[0022]
(10) A knowledge information expansion device according to the present invention provides:
The related word data is extracted based on a linked word of the content data.
[0023]
This makes it possible to provide relevant words extracted from the content data as knowledge information.
[0024]
(11) A knowledge information expansion device according to the present invention provides:
The content data recorded in association with the title and the content is a dictionary.
[0025]
This makes it possible to provide knowledge information with high semantic reliability extracted from the content data.
[0026]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
[0027]
1. Creating knowledge information
First, knowledge information used in the present invention will be described. Here, “knowledge information” is information that systematically records information for explaining keywords such as terms and names as knowledge data. Such knowledge information can be created based on, for example, an encyclopedia having information for explaining terms and names.
[0028]
An example in which knowledge information data is created using a knowledge information creation device based on the encyclopedia as described above will be described.
[0029]
1-1. overall structure
FIG. 1 shows an overall configuration diagram of the knowledge information creating apparatus. In this figure, an encyclopedia content server 1 and a knowledge information creation device 3 are connected to each other and can communicate with each other.
[0030]
The encyclopedia content server 1 is a computer device including recording means 11 for recording encyclopedia content.
[0031]
The knowledge information creation device 3 is a computer device for creating knowledge information data related to encyclopedia content.
[0032]
The knowledge information creation device 3 includes an input unit 31 for inputting content recorded in the recording unit of the encyclopedia content server 1, a knowledge name extraction unit 33 for extracting a knowledge name based on the content input by the input unit 31, and a knowledge Main definition based on knowledge ID providing means 35 for assigning a knowledge ID for each name, feature part extracting means 37 for extracting feature parts based on the content inputted by the input means 31, and feature parts extracted by the feature part extracting means 37 Main definition word extraction means 39 for extracting words, auxiliary definition word extraction means 41 for extracting auxiliary definition words based on the feature portions extracted by the feature portion extraction means 37, and related words that are information related to the contents are extracted. Related word extraction means 43 and knowledge information recording means for recording the definition words and the auxiliary definition words as knowledge information data relating to content It is equipped with a 5.
[0033]
1-2. Hardware configuration
FIG. 2 shows a hardware configuration diagram of the knowledge information creation apparatus 3. This computer apparatus includes a display 201, a CPU 203, a memory 205, a keyboard / mouse 207, a hard disk 209, a CD-ROM drive 211, and a communication circuit 215.
[0034]
The hard disk 209 includes input means 31, knowledge name extraction means 33, knowledge ID assignment means 35, feature portion extraction means 37, main definition word extraction means 39, auxiliary definition word extraction means 41, related word extraction means 43, and knowledge information recording means. 45, a knowledge information creation program 250 for performing knowledge information creation processing is stored. The main definition word extraction means 39 and the auxiliary definition word extraction means 41 are collectively defined as the definition word extraction means 40.
[0035]
This program is installed on the hard disk 209 from the CD-ROM 213 via the CD-ROM drive 211, for example. In addition, you may make it install from the processing program recorded on recording media other than CD-ROM like a flexible disk and an IC card. Furthermore, a processing program recorded in another computer may be installed via a communication line.
[0036]
The communication circuit 215 is a circuit for performing communication with other computer devices, and can be connected to the encyclopedia content server 1 here.
[0037]
The encyclopedia content server 1 is a computer device that records encyclopedia content, and the hardware configuration thereof is the same as that of the knowledge information creation device described above. Note that a set of contents as an encyclopedia is recorded on the hard disk of the encyclopedia content server 1.
[0038]
1-3. content
The encyclopedia content will be described below. The encyclopedia content for which the knowledge information data is created records items indicating titles and descriptions indicating the contents of words in all specialized fields.
[0039]
FIG. 3 shows an example of encyclopedia content. As shown in the figure, the content 300 is described in HTML (HyperText Markup Language), and expresses one title and the content corresponding thereto. One encyclopedia 350 is configured by gathering such contents described in HTML.
[0040]
1-4. Knowledge information creation process
An example of creating knowledge information data based on the content 300 of the encyclopedia 350 as described above will be described. FIG. 4 shows a flowchart in knowledge information creation processing using the present invention.
[0041]
When the knowledge information creation program 250 is activated by the user in the knowledge information creation device 3, the CPU 203 of the knowledge information creation device 3 requests the encyclopedia content server 1 for a content set as an encyclopedia (step S411).
[0042]
In response to the request, the encyclopedia content server 1 outputs the content set as the encyclopedia recorded on the hard disk to the knowledge information creation device 3 (step S401).
[0043]
Upon receiving the output, the CPU 203 of the knowledge information creation device 3 inputs the content set and records it on the hard disk 209 (step S412).
[0044]
The CPU 203 reads one content from the content set as an encyclopedia into the memory 205 (step S413).
[0045]
1-4-1. Knowledge name extraction process
The CPU 203 performs knowledge name extraction processing based on the read content data (step S415). FIG. 5 shows a flowchart in the knowledge name extraction process.
[0046]
The CPU 203 detects title data of the read content (step S501). For example, in the content described in HTML of FIG. 3, the title data is detected by searching for the <TITLE> tag 301.
[0047]
The CPU 203 determines knowledge name data based on the detected title data (step S503). For example, in the content of FIG. 3, “Oshima”, which is text information surrounded by a <TITLE> tag 301 and a </ TITLE> tag 303, is determined as knowledge name data.
[0048]
The CPU 203 stores the determined knowledge name data in the memory 205 (step S505). In the case of the content shown in FIG. 3, “Oshima” is recorded as knowledge name data.
[0049]
1-4-2. Grant of knowledge ID
The CPU 203 assigns a knowledge ID to the knowledge name data extracted by the knowledge name extraction process (step S417). The knowledge ID identifies each piece of knowledge information data, and may be created using, for example, a serial number.
[0050]
1-4-3. Feature part extraction processing
The CPU 203 performs a feature part extraction process based on the read content (step S419, FIG. 4). FIG. 6 shows a flowchart of the feature portion extraction process.
[0051]
The CPU 203 detects the content portion of the read content (step S601). For example, in the content described in HTML of FIG. 3, by searching for the <BODY> tag 305 and the </ BODY> tag 307, the part surrounded by these tags is detected as the content part.
[0052]
The CPU 203 acquires the sentence on the first line of the detected content part (step S603). In the content 31 of FIG. 3, tag portions (<P> tag, <A> tag, etc.) are excluded from the text portion after the <BODY> tag 305 and before the first “.” Appears. The part is acquired as the sentence on the first line.
[0053]
For example,
“<P><A HREF =” izusutoou. html ”> Izu Islands </A> The largest island in the northernmost part.”
Is the text after the <BODY> tag 305 and before the first "." Appears. Excluding this tag, "the largest island in the northernmost part of the Izu Islands." It becomes the sentence of the line.
[0054]
The CPU 203 performs morphological analysis on the sentence in the first line of the acquired content portion (step S605). FIG. 7 shows an example in which a feature part is extracted by morphological analysis of the sentence in the first line of the acquired content part.
[0055]
In FIG. 7, “the largest island in the northernmost part of the Izu Islands.” 701 is a sentence on the first line of the extracted content portion. The CPU 203 morphologically analyzes this sentence and divides it into morphemes which are the smallest language units as shown in “| Izu Islands | the northernmost || FIG. 7a shows the processing result stored in the memory at this time. In FIG. 7 a, a part of speech 709 is recorded for each divided morpheme 707.
[0056]
The CPU 203 extracts only the noun from the sentence divided into morphemes and determines it as feature portion data (step S607). That is, the CPU 203 extracts only morphemes whose part of speech shown in FIG. 7A is a noun, and determines each noun as feature portion data. Reference numeral 705 in FIG. 7 denotes a noun extracted as feature portion data at this time.
[0057]
The CPU 203 stores the determined feature portion in the memory 205 (step S609). In the case of FIG. 7, “Izu Islands”, “Northernmost”, “Maximum”, and “Island” are stored as characteristic portion data.
[0058]
1-4-4. Main definition word / auxiliary definition word extraction processing
The CPU 203 performs main definition word / auxiliary definition word extraction processing based on the read content (step S421, FIG. 4). FIG. 8 shows a flowchart in the main definition word / auxiliary definition word extraction processing.
[0059]
The CPU 203 reads feature portion data stored in the memory 205 (step S801). For example, “Izu Islands”, “Northernmost”, “Maximum”, and “Island”, which are characteristic portion data indicated by reference numeral 705 in FIG. 7, are read.
[0060]
The CPU 203 determines the feature data at the end of the read feature data as main definition word data (step S803). In the example of FIG. 7, since “island” is a feature portion at the end, this is determined as main definition word data. The CPU 203 stores “island”, which is the determined main definition word, in the memory 205 (step S805).
[0061]
The CPU 203 determines, as auxiliary definition word data, other feature part data excluding the feature part data determined as the main definition word data from the read feature part data (step S807). In the example of FIG. 7, since “Izu Islands”, “the northernmost part”, and “maximum” are other feature portion data excluding the feature portion data determined as the main definition word data, these are determined as auxiliary definition word data. To do. The CPU 203 stores the determined auxiliary definition word data “Izu Islands”, “the northernmost”, and “maximum” in the memory 205 (step S809).
[0062]
1-4-5. Related word extraction processing
The CPU 203 performs related word extraction processing based on the read content (step S423, FIG. 4). FIG. 9 shows a flowchart of the related word extraction process.
[0063]
The CPU 203 detects link information from the content portion of the read content (step S901). In the content described in the HTML of FIG. 3, by searching for the <A˜> tag 309 and the </A> tag 311, a portion surrounded by these tags is detected as link information.
[0064]
For example,
“<A HREF =” izusutoou. html "> Izu Islands </A>"
The link information detected from is "Izu Islands"
“<A HREF =” miharayama. html "> Miharayama </A>"
The link information detected from is “Miharayama”.
[0065]
The CPU 203 determines the detected link information as related word data (step S903), and stores these in the memory 205 (step S905).
[0066]
1-4-6. Record of knowledge information data
The CPU 203 records the knowledge name data, knowledge ID, main definition word data, auxiliary definition word data, and related word data stored in the memory 205 in the above processing as knowledge information data in the knowledge information database 400 (step S425).
[0067]
FIG. 10 shows an example of the knowledge information database 400. In this database, a knowledge name 1001, a knowledge ID 1003, a main definition word 1005, an auxiliary definition word 1007, and a related word 1009 are recorded. In the case of the above example, the knowledge name “Oshima”, knowledge ID “001”, main definition word “Island”, auxiliary definition word “Izu Islands, northernmost, maximum” and related terms “Izu Islands, Miharayama” are recorded. The
[0068]
1-4-7. End of processing
When the knowledge information data relating to the read content is recorded, the CPU 203 determines whether there is any other content for which knowledge information data has not been created. If there is content (YES in step S427), the process returns to step S413. Knowledge information data is created by reading new content and repeating the same processing as described above. If it is determined that knowledge information data has been created for all contents (step S427, NO), the process ends.
[0069]
1-4-8. Summary
In this way, content sets that are encyclopedias are input, and based on the contents of each content, knowledge name data, knowledge ID, main definition word data, auxiliary definition word data, and related word data are extracted, and knowledge of the content is extracted. By using information data, knowledge information data of the entire encyclopedia can be easily created.
[0070]
In the above description, the content server 1 that records content and the knowledge information creation device 3 that performs knowledge information creation processing are described separately. However, the knowledge information creation device 3 is provided with recording means for recording content, You may comprise so that a process may be performed only by the information creation apparatus 3. FIG. Alternatively, the knowledge information creation program 250 may be installed in the content server 1 and the content server 1 may be configured to perform knowledge information creation processing.
[0071]
In the above description, the contents constituting the encyclopedia are described as examples. However, the present invention is not limited to this, and any content having a title and its contents can be applied to create knowledge information data. .
[0072]
In the above description, the feature portion is extracted based on the result of the morphological analysis of the sentence on the first line. However, the feature portion may be extracted based on another sentence.
[0073]
For example, the feature portion data may be extracted based on a sentence in an arbitrary line or a sentence including the most words. Further, for example, the feature portion data may be extracted based on a sentence whose title is at the head of the sentence.
[0074]
Further, for example, the feature portion data may be extracted based on a sentence in which a word constituting the title exists near the end of the sentence. Note that the vicinity of the end means not only the end word in the sentence but also a position where a word existing in the lower 10% or less exists in the character string constituting the sentence.
[0075]
In the above description, only nouns are extracted from the morphological analysis results, but other parts of speech such as verbs and adjectives may be extracted.
[0076]
In the above description, the main definition word data is extracted as the last word of the characteristic part data of the determined sentence. However, the word may be extracted based on the dependency relationship with the knowledge name data in the sentence. For example, in the sentence “Oshima is the largest island in the northernmost part of the Izu Islands”, “Oshima is” and “is an island” have a dependency relationship, and “Oshima is” a dependency clause. , “Is an island” is a receiving phrase. Therefore, when the knowledge name data is “Oshima”, “island”, which is a word extracted from “island” which is a clause having a dependency relationship with the dependency clause including this “Oshima”, is the main definition word Can be extracted as
[0077]
In the above, description has been made using content described in HTML, but the content description format is not limited to this. For example, it may be a document described in SGML or XML, or another structured document.
[0078]
Further, if the title and its contents are recognizable by a computer, it may be a document described only with ordinary text. For example, a document in which the title and contents are described in separate lines, a document in which the title and contents are described in a predetermined position, a document that is separated by a symbol such as a CSV file, and the like correspond to this.
[0079]
2. Knowledge information deployment device
Hereinafter, a knowledge information expansion device according to the present invention will be described. This knowledge information expansion device outputs character information that can be recognized by a computer by outputting the knowledge information created by the above-described knowledge information creation device to an application or the like.
[0080]
2-0. Functional block diagram of knowledge information deployment device
FIG. 11 is a functional block diagram of the knowledge information expansion device 1100 according to the present invention. As shown in FIG. 11, the knowledge information expansion device 1100 includes basic data input means 1101, knowledge information extraction means 1103, knowledge information DB 400, and knowledge information output means 1105.
[0081]
The basic data input means 1101 receives terms (basic data) for specifying knowledge information. The knowledge information extraction unit 1103 extracts knowledge information related to the input term from the knowledge information database 400. The knowledge information expansion unit 1105 outputs the knowledge information extracted from the knowledge information database 400 by the knowledge information extraction unit 1103 to the outside.
[0082]
2-1. Hardware configuration of knowledge information deployment device
FIG. 12 shows a hardware configuration of the knowledge information expansion device. This knowledge information expansion device 1100 includes a display 1201, a CPU 1203, a memory 1205, a keyboard / mouse 1207, a hard disk 1209, and a CD-ROM drive 1211.
[0083]
As shown in FIG. 12, the hard disk 1209 stores a knowledge information expansion program 300, a knowledge information DB 400, an application 500, an operation system (not shown), and the like.
[0084]
The knowledge information DB 400 stores the above-described knowledge information 1010 shown in FIG. 10 and the like, and the knowledge information development program 300 is a program that performs processing to output the knowledge information in response to a request from the application 500. The application 500 is an application for performing predetermined processing using the knowledge information recorded in the knowledge information DB 400. For example, a keyword (search keyword) for search is assigned to a document file such as a patent document. Applicable to processing.
[0085]
These programs are installed on the hard disk 1209 from the CD-ROM 1213 via the CD-ROM drive 1211, for example. In addition, you may make it install from the processing program recorded on recording media other than CD-ROM like a flexible disk and an IC card. Furthermore, a processing program recorded in another computer may be installed via a communication line.
[0086]
2-2. Automatic expansion of knowledge information
Hereinafter, processing until the application 500 assigns a search keyword to a document file of Patent Document X (not shown) will be described with reference to FIG. FIG. 13 is a flowchart showing processing performed by the knowledge information development program 300 in response to a request from the application 500.
[0087]
The application 500 determines a term to be input to the knowledge information expansion program 300 in order to assign a search keyword in advance from terms included in the document file of Patent Document X. For example, in this embodiment, the term “kana-kanji conversion” of the name “kana-kanji conversion device” of the invention of Patent Document X is determined as a term for requesting knowledge information. In addition, although the term contained in the name of invention was used here, you may use the term contained in the part which shows the other content (Claims, summary, etc.).
[0088]
When an input of a term (for example, “Kana-Kanji conversion”) included in the determined document is received from the application 500 (step S1101), the CPU of the knowledge information development device uses the term included in the document as knowledge information. Data is extracted from the knowledge information database 400 (step S1102).
[0089]
Further, the CPU acquires the main definition words and auxiliary definition words of the extracted knowledge information data (step S1103), and outputs them to the application 500 as search keywords (step S1105).
[0090]
For example, when the term “kana-kanji conversion” is input from the application 500, the main definition word “input” is based on the knowledge information data record 1020 (shown in FIG. 10) of the knowledge information database 400 having the knowledge name “kana-kanji conversion” System ”, auxiliary definition words“ kanji ”,“ reading ”, and“ keyboard ”are output to the application 500. These terms are recorded as search keywords in association with the document file of Patent Document X by the application 500. That is, if terms such as “input method” are used as keywords at the time of search, Patent Document X can be surely hit.
[0091]
In the above embodiment, the search keyword is assigned to the document file of the patent document. However, the search keyword can also be assigned to the document file such as other medical papers.
[0092]
In the above description, the main definition words and auxiliary definition words in the knowledge information database are used as search keywords. However, the related words (for example, the related words 108 “FEP” and “Kana-Kanji conversion” shown in FIG. IM ") may be added to the search keyword. Thereby, the range of the search keyword is expanded, and the hit rate can be further improved in the document search.
[0093]
In the above-described embodiment, the knowledge information deployment program 300 is deployed to the application 500 recorded independently, but the knowledge information deployment program 300 is included in the application 500. The above processing may be performed in the application 500.
[0094]
In the above embodiment, the knowledge data output by the application 500 is used as a search keyword. However, it may be used as a classification keyword. For example, in an application in which document files including the related word “FEP” for the knowledge name “Kana-Kanji conversion” shown in FIG. 10 are regarded as belonging to the same group and the document files are classified, the knowledge data is used as a classification keyword. become.
[0095]
2-3. Network configuration of knowledge information deployment system
Next, an example in which the knowledge information processing apparatus 1100 shown in FIG. 11 is used as a server apparatus on a network will be described below.
[0096]
As shown in FIG. 14, the knowledge information expansion server 1705 is connected to the client terminal 1701 and the search engine server 1703 via the Internet 17 so as to be communicable.
[0097]
FIG. 15 shows a hardware configuration of the knowledge information development server 1705. This knowledge information expansion server 1705 includes a display 1201, a CPU 1203, a memory 1205, a keyboard / mouse 1207, a hard disk 1209, a CD-ROM drive 1211, and a communication circuit 1215. Note that the communication circuit 1215 is a circuit for performing communication with other servers.
[0098]
As shown in FIG. 15, a knowledge information expansion program 300, a knowledge information DB 400, an operation system (not shown), and the like are stored in the hard disk 1209 of the knowledge information expansion server 1705. In addition, an HTML document for displaying a search Web page (an input form page for searching the Web page shown in FIG. 18 using the search engine server 1703) in the Web browser is also stored.
[0099]
The knowledge information DB 400 stores the above-described knowledge information 1010 shown in FIG. 10 and the like, and the knowledge information expansion program 300 is a program that performs a process of outputting the knowledge information in response to a request from the client terminal 1701. .
[0100]
The client terminal 1701 is a terminal for transmitting a search keyword that is basic data to the search engine server 1703. The search engine server 1703 is a server that provides a Web page search service based on a search keyword.
[0101]
Note that the hardware configurations of the client terminal 1701 and the search engine server 1703 are substantially the same as the hardware configuration of the knowledge information expansion server 1705 shown in FIG. However, the hard disk of the client terminal 1701 is different in that software for browsing an encyclopedia that is converted into data and a Web browser (not shown) are recorded. Further, the hard disk of the search engine server 1703 has a database of Web pages of the client terminal 1701, an HTML document for displaying a search Web page in the Web page browser recorded on the hard disk of the knowledge information expansion server 1705, and the like. (Not shown) is different in that it is recorded.
[0102]
2-4. Automatic deployment of knowledge information on the network
Next, in the client terminal 1701 shown in FIG. 14, when the user refers to the item “Oshima” of the encyclopedia browsing browser, the server searches the knowledge information using this “Oshima” as basic data. A process of outputting the knowledge information as seed data to the search engine server 1703 will be described with reference to FIGS. 14 and 16 to 18.
[0103]
FIG. 16 is a flowchart showing the flow of processing performed in the client terminal 1701, the knowledge information development server 1705, and the search engine server 1703. FIG. 17 is a diagram showing an encyclopedia browsing screen on the client terminal 1701. FIG. 18 is a diagram illustrating a state in which a search keyword including knowledge information is automatically input in the input form of the Web browser.
[0104]
The user activates and refers to the encyclopedia browsing software as shown on the screen 130 in FIG. 17 on the client terminal 1701 (step S1201). On the screen 130 shown in FIG. 17, “Oshima” is displayed in the item column 131 of the encyclopedia, and a sentence explaining “Oshima” is displayed in the description column 133. Also, to the right of the item column 131, the knowledge ID of the knowledge information database 400 (FIG. 10) having “Oshima” as the knowledge name is displayed.
[0105]
When the user wants to search a web page related to “Oshima”, when the user presses the “Web page search” button 135 (shown in FIG. 17) at the lower right of the screen 130, the item “Oshima” is displayed. Knowledge ID “001” (knowledge ID 1003 shown in FIG. 10) is transmitted to knowledge information expansion server 1705 (step S1203). On the other hand, on the client terminal 1701, a Web browser for displaying a search Web page (an input form page for searching a Web page) is activated and displayed in conjunction with the pressing of the “Web page search” button 135. (Step S1211).
[0106]
The CPU 1203 of the knowledge information development server 1705 receives the knowledge ID (step S1205), searches the knowledge information database 400 based on the knowledge ID, and knowledge information related to the knowledge ID (for each knowledge ID 1003 shown in FIG. 10). Main definition word 1005, auxiliary definition word 1007, etc.) are extracted (step S1207). Further, the extracted knowledge information is combined with the HTML document so that the knowledge information is input to the input form of the search Web page, and the HTML document combined with the knowledge information is transmitted to the client terminal 1701 (step S1209).
[0107]
As a result, as shown in FIG. 18, a search Web page in which knowledge information is automatically input in the input form is displayed in the Web browser of the client terminal 1701 (S1213). In FIG. 18, the knowledge name “Oshima”, the main definition word “Island”, and the auxiliary definition words “Izu Islands”, “Northernmost”, and “Maximum”, which are knowledge information of the item “Oshima”, are entered in the input form. At this time, the user can also change the search keyword in the input field.
[0108]
Further, when the user presses the search button 141, the search keyword is transmitted to the search engine server 1703 (step S1215). For example, it is transmitted as data of URL “http://www.searchxxx.co.jp/search?q=Oshima+Island+Izu Islands + Northernmost + Maximum”.
[0109]
Thereafter, a general Web page search process by a search engine is performed. The search engine server 1703 searches the Web page list based on the search keyword “Oshima + island + Izu islands + northernmost + maximum” (where the + symbol indicates an and condition), and the search result is the client terminal. It is transmitted to 1701 (step S1217). As a result, the Web page search result using the knowledge information is displayed on the client terminal 1701 (step S1219).
[0110]
As described above, the search accuracy can be improved by searching the Web page using the knowledge information based on the item “Oshima” as the basic data. In addition, an optimal Web page can be found without the user inputting a plurality of search keywords.
[0111]
In the above embodiment, the “search button” 141 is pressed in step S1215 of FIG. 16, but the user input may be omitted as shown in the flowchart of FIG. 19 (corresponding to FIG. 16). it can. Specifically, in the flowchart of FIG. 19, in step S1209, knowledge information is not transmitted to the client terminal 1701, but is transmitted to the search engine server 1703, and a Web page is searched as it is. Accordingly, the search keyword input screen shown in FIG. 18 is not displayed on the client terminal 1701, and the search result is immediately displayed.
[0112]
In the above embodiment, only the knowledge ID of “Oshima” is transmitted in step S1203 of FIG. 16, but the terms included in the content (for example, “Izu Islands” 004, “Mihara” shown in FIG. The knowledge ID of “mountain” 005) may be transmitted simultaneously. Thereby, not only the knowledge data of “Oshima” but also the knowledge data of “Izu Islands” and “Miharayama” can be output to the search engine server 1703.
[0113]
In the above embodiment, the knowledge information is expanded using the knowledge information based on the encyclopedia content referred to by the user. However, the present invention is not limited to this, and the knowledge based on the other content to which the knowledge ID is assigned. You may comprise so that such a process may be performed using information.
[0114]
3. Other embodiments
In the above-described embodiment, the knowledge information database created using the knowledge information creation device 3 (shown in FIG. 1) is used. However, the method is not limited to this method, and created manually or by other methods. You may make it comprise using the acquired knowledge information.
[0115]
In the above embodiment, the CPU is used to realize the function shown in FIG. 1 and this is realized by software. However, some or all of them may be realized by hardware such as a logic circuit. Note that a part of the processing of the program may be further performed by the operating system (OS).
[0116]
In the above embodiment, the developed knowledge data is used for assigning a keyword for searching a file such as a paper or a document. However, it can also be used for an application such as an associative game.
[Brief description of the drawings]
FIG. 1 is a diagram showing an example of the overall configuration of a knowledge information creating apparatus according to an embodiment of the present invention.
FIG. 2 is a hardware configuration diagram of a knowledge information creating apparatus according to an embodiment of the present invention.
FIG. 3 is a diagram showing an example of content in an embodiment of the present invention.
FIG. 4 is a diagram showing an example of a flowchart of a knowledge information creating apparatus according to an embodiment of the present invention.
FIG. 5 is a diagram showing an example of a flowchart of knowledge name extraction processing in an embodiment of the present invention.
FIG. 6 is a diagram showing an example of a flowchart of feature portion extraction processing in one embodiment of the present invention.
FIG. 7 is a diagram showing an example of extracting feature portion data from a sentence in one embodiment of the present invention.
FIG. 7A is a diagram showing an example of a result of morphological analysis of a sentence in one embodiment of the present invention.
FIG. 8 is a diagram showing an example of a flowchart of main definition word / auxiliary definition word extraction processing in one embodiment of the present invention;
FIG. 9 is a diagram showing an example of a flowchart of related word extraction processing in one embodiment of the present invention.
FIG. 10 is a diagram showing an example of a knowledge information database in one embodiment of the present invention.
FIG. 11 is a functional block diagram of the knowledge information expansion device of the present invention.
FIG. 12 is a diagram showing a hardware configuration of a knowledge information expansion device according to the present invention.
FIG. 13 is a flowchart showing processing performed by a knowledge information expansion program according to the present invention in response to an application request.
FIG. 14 is a diagram showing a network configuration of a knowledge information expansion system according to the present invention.
FIG. 15 is a diagram showing a hardware configuration of a knowledge information expansion server according to the present invention.
FIG. 16 is a flowchart showing a flow of processing performed in a client terminal, a knowledge information development server, and a search engine server.
FIG. 17 is a diagram illustrating an encyclopedia browsing screen on a client terminal.
FIG. 18 is a diagram illustrating a state in which a search keyword is automatically input to a Web browser.
FIG. 19 is a flowchart illustrating a flow of processing performed in a client terminal, a knowledge information expansion server, and a search engine server in another embodiment.
[Explanation of symbols]
1100 ... Knowledge information expansion device
1101... Basic data input means
1103 ... Knowledge information extraction means
1105 ... Knowledge information database
1107 ... Knowledge information expansion means

Claims (14)

A knowledge information expansion device that expands related knowledge information based on basic data,
Basic data input means for entering basic data,
Knowledge information that receives basic data from the basic data input means and extracts knowledge information related to the basic data from a knowledge information database in which terms used to define a title are recorded as knowledge information in association with the title Extraction means,
Knowledge information expansion means for outputting the knowledge information extracted by the knowledge information extraction means;
A knowledge information expansion device characterized by comprising: In a computer, a program for realizing a knowledge information expansion device that expands related knowledge information based on basic data, the computer comprising the following means:
A) Basic data input means for inputting basic data,
B) Receiving basic data from the basic data input means, and extracting knowledge information related to the basic data from a knowledge information database in which terms used to define a title are recorded as knowledge information in association with the title Knowledge information extraction means,
C) Knowledge information expansion means for outputting the knowledge information extracted by the knowledge information extraction means. In the knowledge information expansion | deployment apparatus or program of Claim 1 or 2,
The knowledge information extracted by the knowledge information providing means is output to a predetermined application. In the knowledge information expansion | deployment apparatus or program in any one of Claims 1-3,
The knowledge name is a knowledge word obtained by extracting title data from the content data recorded in association with the title and contents, and a definition word associated with the knowledge name extracted from each word included in the feature part data of the content data Characterized by having data. In the knowledge information expansion | deployment apparatus or program of Claim 4,
The definition word data is composed of main definition word data that best represents the characteristics of the content data and auxiliary definition word data other than the main definition word data. In the knowledge information expansion | deployment apparatus or program of Claim 4 or 5,
The knowledge information includes related term data representing contents related to the title based on contents of the contents data. In the knowledge information expansion | deployment apparatus or program of Claim 4,
The feature portion data is obtained by extracting words obtained by morphological analysis of sentences constituting the contents of content data. In the knowledge information expansion | deployment apparatus or program of Claim 5,
The main definition word data is a word at the end of feature portion data determined to be a noun as a result of morphological analysis. In the knowledge information expansion | deployment apparatus or program of Claim 5,
The main definition word data is a word included in a receiving clause having a dependency relationship with a dependency clause including a knowledge name in a sentence constituting the content of the content data. In the knowledge information expansion | deployment apparatus or program of Claim 6,
The related word data is extracted based on a linked word of the content data. In the knowledge information expansion | deployment apparatus or program in any one of Claims 4-10,
Content data recorded in association with the title and content is a dictionary. A knowledge information expansion method for expanding related knowledge information based on basic data,
In response to the input basic data, the knowledge information related to the basic data is extracted and output from the knowledge information database in which terms used to define the title are recorded as knowledge information in association with the title.
Knowledge information development method characterized by this. A knowledge information expansion system that expands related knowledge information based on basic data,
A client terminal on the network for entering basic data,
Receives basic data from the client terminal, extracts knowledge information related to the basic data from a knowledge information database in which terms used to define a title are recorded as knowledge information in association with the title, and transmits the data to the outside Knowledge information deployment server,
A knowledge information utilization server on the network for receiving knowledge information from the knowledge information deployment server;
Knowledge information deployment system characterized by having A knowledge information expansion server that expands related knowledge information based on basic data,
Basic data input means for inputting basic data received from a client terminal on the network,
Knowledge information that receives basic data from the basic data input means and extracts knowledge information related to the basic data from a knowledge information database in which terms used to define a title are recorded as knowledge information in association with the title Extraction means,
Knowledge information expansion means for transmitting the knowledge information extracted by the knowledge information extraction means to a search engine server on the network;
A knowledge information expansion server characterized by comprising:

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