JP2010092286A - Search method using knowledge db - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To collect information regarding a term which is assumed to be an unknown word for a user, and to provide a user with the information. <P>SOLUTION: An unknown word search server 1 is provided with: a feature word totalization part 103 for calculating the usage frequency of a specific term for each prescribed category, in advance, on the basis of a user's use history with respect to the specific term belonging to the prescribed category; an unknown category determining part 105 for determining user's unknown category, on the basis of the use frequency of the specific term for each prescribed category; a morphological analysis part 107 for performing morphological analysis of a Web page accessed, when the user accesses the Web page; an unknown word determination part 108 for searching for a term, belonging to an unknown category as a result of the morphological analysis of the Web page and determining the term to be an unknown word; an unknown word search part 109 for acquiring information related to the feature word which is determined as being an unknown word for the user; and a search result transmission part 110 for transmitting information related to the acquired feature word to a user terminal 2. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a search method and system using a knowledge DB. In particular, the present invention relates to a search method and system for searching information related to a term that is assumed to be an unknown word of a user using a knowledge DB in a Web page.

Conventionally, there has been provided an information search method for automatically extracting a new word from a document and collecting and displaying information related to the new word as a key (for example, Patent Document 1). In this method, whenever a new word appears on the Internet, the new word is registered in the dictionary assuming that the new word is an unknown word of the user. Then, a word is extracted from the document, and it is determined whether or not the extracted word is a new word registered in the dictionary. When it is determined that the extracted word is a new word, information related to the new word is collected and the collection result is displayed. In this way, for a new word that is assumed to be an unknown word of the user, the environment for reading the document is made comfortable by assisting in understanding the new word.
Japanese Patent Application Laid-Open No. 2004-155787

  By the way, in this information search method, for a word determined to be a new word, only the information related to this word is collected and the result is displayed, and the term that is assumed to be an unknown word of the user other than the new word Cannot collect information related to this term. Therefore, it is necessary for the user to investigate information related to unknown words other than new words, and there is a possibility that the user may feel troublesome to investigate. Therefore, it is required to collect information related to the term that is assumed to be an unknown word of the user and provide it to the user.

  An object of the present invention is to collect information related to a term that is assumed to be an unknown word of the user and provide it to the user.

  The present invention provides the following solutions.

(1) An unknown word display method for searching and displaying information related to a term assumed to be an unknown word of a user in a Web page,
For a specific term belonging to a predetermined category, based on a user's usage history, calculating in advance the frequency of use of the specific term for each predetermined category;
Determining an unknown category of the user based on the frequency of use of the specific term for each predetermined category;
When the user accesses the web page, performing a morphological analysis of the accessed web page;
As a result of morphological analysis of the web page, searching for a term belonging to the unknown category and determining the term as an unknown word;
Acquiring information related to the user's unknown word, and displaying information related to the acquired specific term together with the content of the web page;
An unknown word display method comprising:

  (1) According to the unknown word display method described in the above, for a specific term belonging to a predetermined category, the use frequency of the specific term is calculated in advance for each predetermined category based on the user's usage history, and the predetermined category The unknown category of the user is determined based on the frequency of use of each specific term. When the user accesses a web page, morphological analysis of the accessed web page is performed. Then, as a result of the morphological analysis of the Web page, a term belonging to an unknown category is searched, and this term is determined as an unknown word. And the information relevant to the specific term determined to be an unknown word of a user is acquired, and the information relevant to the acquired specific term is displayed with the contents of a web page.

  By doing this, information related to the term determined as the user's unknown word is acquired and displayed together with the contents of the web page. Therefore, the term that is assumed to be the user's unknown word is included in this term. Relevant information can be collected and provided to the user. Further, as a result of the morphological analysis of the Web page, a term belonging to an unknown category is searched and this term is determined as an unknown word, so that a term belonging to an unknown category can be determined as an unknown word.

(2) In the step of determining the unknown category, the calculated use frequency of the specific term for each predetermined category is summed for each category, and the total value for each category is totaled,
With respect to the totaled categories, the total value is set as a normal distribution, and a category indicating a value equal to or less than a predetermined threshold among the normal distribution total values is determined as an unknown category of the user ( The unknown word display method according to 1).

  (2) According to the method described in the above, a category indicating a value equal to or less than a predetermined threshold among the normally distributed total values is obtained by setting the total value as a normal distribution for the aggregated categories. And decide. For this reason, since the user's unknown category is determined according to the normal distribution, the unknown word can be statistically determined.

  (3) The step of calculating the usage frequency of the specific term in advance uses the tag information of the user's social bookmark as the user's usage history, and specifies the specific information for each predetermined category based on the user's usage history. The method according to (1) or (2), wherein the use frequency of the term is calculated in advance.

  According to the method described in (3), the usage frequency of a specific term is calculated in advance for each predetermined category based on the specific term extracted from the tag information of the social bookmark. For this reason, the usage frequency of a specific term can be calculated in advance for each predetermined category using the tag information of the social bookmark.

  (4) The step of calculating the usage frequency of the specific term in advance uses the information on the website accessed by the user as the usage history of the user, and the information for each predetermined category is based on the usage history of the user. The method according to any one of (1) to (3), wherein the frequency of use of a specific term is calculated in advance.

  According to the method described in (4), the usage frequency of a specific term is calculated in advance for each predetermined category based on the specific term included in the information on the website accessed by the user. For this reason, the usage frequency of a specific term can be calculated in advance for each predetermined category by using information on a website accessed by the user.

  (5) The displaying step is characterized in that information related to the unknown word of the user is acquired by dictionary search, and the information related to the acquired specific term is displayed together with the content of the Web page ( The method according to any one of 1) to (4).

  (5) According to the described method, information related to the user's unknown word is acquired by dictionary search, and the acquired information related to the user's unknown word is displayed together with the contents of the Web page. For this reason, the information relevant to the user's unknown word obtained by dictionary search can be shown to a user.

  (6) The displaying step includes acquiring information related to the unknown word of the user from a Web server on the Internet, and displaying the acquired information related to the specific term together with the content of the Web page. The method according to any one of (1) to (4).

  (6) According to the method described above, information related to the user's unknown word is acquired by a Web server on the Internet, and the acquired information related to the user's unknown word is displayed together with the contents of the Web page. For this reason, information related to the user's unknown word can be acquired using a Web server, and this information can be presented to the user.

(7) An unknown word display system in which a user terminal and an unknown word search device are communicably connected and search and display information related to a term that is assumed to be an unknown word of a user in a Web page. And
When the user terminal accesses the web page, the user terminal has web page information transmission means for transmitting information on the accessed web page to the unknown word search device,
The unknown word search device includes:
Usage frequency calculation means for calculating in advance the usage frequency of the specific term for each predetermined category based on the user's usage history for the specific term belonging to the predetermined category;
Unknown category determining means for determining an unknown category of the user based on the frequency of use of the specific term for each predetermined category;
Web page information receiving means for receiving information on the accessed Web page from the user terminal;
Morphological analysis means for performing morphological analysis of the received web page received;
As a result of morphological analysis of the web page, an unknown word determination unit that searches for a term belonging to the unknown category and determines the term as an unknown word;
An unknown word information transmitting unit that acquires information related to the unknown word of the user and transmits information related to the acquired specific term to the user terminal together with the content of the Web page;
With
The user terminal includes unknown word information receiving means for receiving information related to the specific term transmitted by the unknown word information transmitting means,
An unknown word display system further comprising:

  According to such a configuration, the same effect as in (1) can be expected by constructing the system.

  According to the present invention, for a term that is assumed to be an unknown word of the user, information related to the term can be collected and provided to the user.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. This is merely an example, and the technical scope of the present invention is not limited to this.

  In the present embodiment, it is assumed that the user performs user registration for a predetermined site for the purpose of receiving service provision from the predetermined site. A user ID for uniquely identifying a user is assigned to the user who has performed user registration. A user can receive a service by logging in to a predetermined site. In this embodiment, it is assumed that the user is logged in to a predetermined site. Further, it is assumed that the services provided by the predetermined site include a social bookmark service and an unknown word search display service.

[Entire system configuration]
FIG. 1 is a diagram showing an overall configuration of an unknown word search server 1 and related elements according to the present embodiment. In the present embodiment, the unknown word search server 1, the user terminal 2, and the Web server 3 are communicably connected via a communication network 4 represented by a communication line such as the Internet.

  When the user terminal 2 accesses the Web page to the Web server 3, the Web server 3 transmits information on the Web page to the user terminal 2. The user terminal 2 transmits the received Web page information to the unknown word search server 1. The unknown word search server 1 performs morphological analysis on the received Web page, and extracts specific terms belonging to a predetermined category, that is, feature words. And based on the category of the extracted feature word and the usage frequency of the feature word for each category of the user of the user terminal 2 registered in the unknown word search server 1 in advance, the extracted feature word is the user terminal It is determined whether it is an unknown word of 2 users. When it is determined that the extracted feature word is an unknown word of the user of the user terminal 2, the unknown word search server 1 acquires information related to the feature word determined to be an unknown word using the Web server 3. Then, the acquisition result is transmitted to the user terminal 2. The user terminal 2 receives the search result and displays it on the display unit 24.

[Hardware configuration of unknown word search server 1]
FIG. 2 is a diagram illustrating a hardware configuration of the unknown word search server 1 according to the present embodiment. The hardware configuration of the unknown word search server 1 in which the present invention is implemented may be standard, and an example of the configuration is shown below.

  The unknown word search server 1 includes a central processing unit (CPU) 1010 (a plurality of CPUs such as a CPU 1012 may be added in a multiprocessor configuration), a bus line 1005, a communication I / F (I / F). Interface) 1040, main memory 1050, BIOS (Basic Input Output System) 1060, display device 1022, I / O controller 1070, input device 1100 such as a keyboard and mouse, hard disk 1074, optical disk drive 1076, and semiconductor memory 1078 . The hard disk 1074, the optical disk drive 1076, and the semiconductor memory 1078 are collectively referred to as the storage unit 120.

  The control unit 100 is a part that controls the unknown word search server 1 in an integrated manner, and by reading and executing various programs stored in the hard disk 1074 as appropriate, it cooperates with the hardware described above, and relates to the present invention. Various functions are realized.

  The communication I / F 1040 is a network adapter when the unknown word search server 1 transmits / receives information to / from a terminal or the like via the communication network 4. The communication I / F 1040 may include a modem, a cable modem, and an Ethernet (registered trademark) adapter.

  The BIOS 1060 records a boot program executed by the CPU 1010 when the unknown word search server 1 is started, a program depending on the hardware of the unknown word search server 1, and the like.

  The display device 1022 includes a display device such as a cathode ray tube display device (CRT) or a liquid crystal display device (LCD).

  A storage unit 120 which is a storage device such as a hard disk 1074, an optical disk drive 1076, and a semiconductor memory 1078 can be connected to the I / O controller 1070.

  The input device 1100 accepts input by the administrator of the unknown word search server 1.

  The hard disk 1074 stores various programs for causing the hardware to function as the unknown word search server 1, programs for executing the functions of the present invention, and DB tables and records to be described later. The unknown word search server 1 can also use an external hard disk (not shown) as an external storage device.

  As the optical disc drive 1076, for example, a DVD-ROM drive, a CD-ROM drive, a DVD-RAM drive, or a CD-RAM drive can be used. In this case, the optical disk 1077 corresponding to each drive is used. A program or data may be read from the optical disk 1077 by the optical disk drive 1076 and provided to the main memory 1050 or the hard disk 1074 via the I / O controller 1070.

  The computer referred to in the present invention refers to an information processing device including a storage device, a control unit, and the like. This information processing apparatus is included in the concept of the computer of the present invention.

  The unknown word search server 1 is not limited in the number of hardware, and may be configured by one or a plurality of hardware as necessary. In the case of a plurality of hardware, each hardware may be connected via the communication network 4. For example, the functions of the present embodiment may be realized by using separate servers (devices) for each function described later, and by linking the servers by transmitting and receiving signals between the servers.

[Hardware configuration of user terminal 2]
The user terminal 2 also has the same configuration as the above-described unknown word search server 1. In the present embodiment, an example realized by a so-called computer will be described. Furthermore, as long as the principle of the present invention is applicable, the present invention may be realized by various terminals such as a mobile phone and a PDA (Personal Data Assistant).

[Function configuration]
FIG. 3 is a diagram illustrating a functional configuration of the unknown word search server 1 and the user terminal 2 according to the present embodiment.

  The user terminal 2 includes a control unit 20, a display unit 24, and an operation unit 25. The control unit 20 of the user terminal 2 includes an extraction information transmission unit 21, a Web page information transmission unit 22, and a search result reception unit 23.

  The control unit 100 of the unknown word search server 1 includes an extraction information receiving unit 101, a feature word extraction unit 102, a feature word totaling unit 103, a totaling result registration unit 104, an unknown category determination unit 105, and Web page information. A receiving unit 106, a morpheme analyzing unit 107, an unknown word determining unit 108, an unknown word searching unit 109, and a search result transmitting unit 110 are provided. The storage unit 120 of the unknown word search server 1 includes a knowledge DB 121.

  The extraction information transmission unit 21 acquires feature word extraction information and transmits it to the unknown word search server 1. Specifically, in the social bookmark service in which the user participates, the user acquires the tag information attached to the social bookmark, transmits it to the unknown word search server 1, and the term clicked on the web page by the user And the access history information for the user's Web page are acquired and transmitted from the cookie stored in the user terminal 2, the access history information held by the browser, and the like. The tag information includes a term indicating the classification information of the bookmark, and when the user uses the unknown word search service for the first time, or when the user gives or changes a tag to the social bookmark, Information on the tag assigned or changed to the social bookmark is acquired and transmitted to the unknown word search server 1. Further, the extraction information transmitting unit 21 transmits the user ID registered in the social bookmark together with the above information so that the unknown word search server 1 can identify the user. By doing in this way, a characteristic word can be extracted from information for characteristic word extraction, such as a tag given by a user to a social bookmark, and can be reflected in the unknown word search server 1 in real time.

  The social bookmark is a service that publishes a user's bookmark on the network and shares it with an unspecified number of users, and has a function of adding a tag as a classification keyword to the bookmark. In the present embodiment, the social bookmark service is included in the Web server 3.

  The web page information transmission unit 22 displays web page information on the display unit 24, and further transmits web page information to the unknown word search server 1. Specifically, when the user terminal 2 receives the Web page information transmitted from the Web server 3 by accessing the Web server 3 to the Web server 3, the received Web page information is converted into the unknown word search server. 1 to send. In addition, in order to identify the user of the user terminal 2 that transmitted the Web page in the unknown word search server 1, the Web page information transmission unit 22 transmits the user ID together with the information on the Web page. Here, the user ID is the same as the user ID of the social bookmark.

  The search result receiving unit 23 receives information related to the feature word determined to be an unknown word of the user, transmitted from the unknown word search server 1. Then, information related to the feature word determined to be an unknown word of the user is displayed on the display unit 24 via the browser 241. In the present embodiment, information related to the feature word determined to be an unknown word of the user is displayed on the display unit 24 at a different timing from the content of the received Web page. However, the present invention is not limited to this. For example, information related to the feature word determined as the user's unknown word is displayed together with the information on the Web page accessed by the user at the timing when the user terminal 2 receives the information related to the feature word from the unknown word search server 1. It is good to do.

  The display unit 24 performs display related to the function of the user terminal 2, for example, displays information on a Web page of a Web site accessed on the Internet via the browser 241. The display unit 24 includes a display device such as a cathode ray tube display device (CRT) or a liquid crystal display device (LCD). The operation unit 25 indicates a mouse, a keyboard, or the like for operating the user terminal 2 by the user.

  The extraction information receiving unit 101 receives the tag information of the social bookmark transmitted from the user terminal 2, the user ID registered in the social bookmark, the information of the term clicked on the web page by the user, and the user's web page. And access history information. In the present embodiment, tag information is acquired from the user terminal 2, but the present invention is not limited to this. For example, the unknown word search server 1 is provided with a social bookmark information registration unit for registering the type of social bookmark service used by the user and the user ID, and based on the registered information, the unknown word search server The tag information may be acquired by accessing the site of the social bookmark service 1 is regularly used by the user. Further, in this case, a plurality of social bookmark services may be registered per user, and tag information of social bookmarks in a plurality of social bookmark services may be acquired.

  The feature word extraction unit 102 extracts feature words from the feature word extraction information received by the extraction information reception unit 101, and stores the extracted feature words. Specifically, each of the terms included in the received tag information, information on the term clicked on the web page, and information on the web page acquired based on the access history information on the user's web page will be described later. It is determined whether or not it is stored in the feature word table stored in the knowledge DB 121. Here, regarding the information of the Web page acquired based on the information of the access history with respect to the Web page of the user, the term is extracted by performing morphological analysis. If the extracted term is stored in the feature word table, it is determined that the term is a feature word. If the feature word is determined to be a feature word, the feature word extraction unit 102 stores the user ID and the extracted feature word in a knowledge table stored in the knowledge DB 121 described later.

  In the present embodiment, it is directly determined whether or not a term included in the received tag information is a feature word. However, the present invention is not limited to this. The tag information is often given a word due to its characteristics, but includes information that is not a word, such as a short sentence, so morphological analysis may be performed.

  FIG. 4 is a diagram showing a feature word table stored in the knowledge DB 121 according to the present embodiment. Feature words and categories are stored in the feature word table. The feature word is used to determine whether the extracted term is a feature word and to determine an unknown word of the user. The category is for classification into a technical field or an academic field to which the characteristic word belongs.

  Returning to FIG. 3, the feature word totaling unit 103 calculates the use frequency of the feature words for each category based on the user's usage history for the feature words belonging to the category. That is, based on the feature words extracted by the feature word extraction unit 102 and the feature word table (FIG. 4), the extracted feature words are classified into categories, and the number of feature words extracted for each category. Are counted.

により算出される。 Specifically, if there are j types of feature words belonging to category K (i) and the total number of extracted feature words is N (j), respectively, category K (i ) And the total value S (i) of the extracted feature words belonging to

Is calculated by

  The totalization result registration unit 104 registers the total value S (i) of feature words extracted for each category totaled by the feature word totalization unit 103 in the knowledge DB 121. Specifically, the user ID, the extracted feature words, the category, and the total value S (i) of the extracted feature words are stored in the knowledge table (see FIG. 5 described later).

  The unknown category determination unit 105 determines the user's unknown category based on the usage frequency of the feature word for each category, and updates the knowledge table (see FIG. 5 described later). Specifically, with respect to the total value of feature words extracted for each category, an average value and a standard deviation are calculated, and a value obtained by subtracting the standard deviation from the average value of the total value of extracted feature words is calculated for the unknown word. Determine as threshold. Then, the total value of the extracted feature words is assumed to be a normal distribution, and a category indicating a value equal to or lower than the threshold among the normal distribution total values is determined as an unknown category of the user. If it is determined as an unknown category, the unknown category flag in the knowledge table (see FIG. 5 described later) is updated, and the unknown category flag is updated to “ON”. If it is not determined as an unknown category, the unknown category flag is updated to “OFF”.

  Here, assuming that the total value of the extracted feature words completely follows the normal distribution, a value obtained by subtracting the standard deviation from the average value of the total value of the extracted feature words, that is, a value smaller than the unknown word threshold value. The category having occupies about 18% of the whole. In this way, by calculating the average value and standard deviation of the total value of feature words extracted for each user and determining the threshold value of unknown words, the frequency of use of feature words for each category in the individual user is utilized. An unknown word can be determined. That is, if a feature word extracted by the morphological analysis unit 107 described later belongs to a category to which a feature word with a low frequency of use by the user belongs, it can be determined that the feature word is an unknown word.

  In the present embodiment, the value obtained by subtracting the standard deviation from the average value of the total values of the extracted feature words is set as the unknown word threshold, but the present invention is not limited to this. You may determine the threshold value of an unknown word suitably.

  FIG. 5 is a diagram showing a knowledge table stored in the knowledge DB 121 according to the present embodiment. The knowledge table stores a user ID, extracted feature words, categories, a total value of extracted feature words, and an unknown category flag. In the knowledge table, when the feature word extraction unit 102 stores the feature words of the user, the total result registration unit 104 stores the total value of the extracted feature words for each category, and the unknown category determination unit 105 Thus, it is referred to when the unknown category flag is updated. In addition, the unknown word determination unit 108 refers to the information of the total value of the extracted feature words for each category.

  Returning to FIG. 3, the Web page information receiving unit 106 receives the Web page information and the user ID transmitted from the user terminal 2.

  The morpheme analysis unit 107 performs morpheme analysis on the Web page information received by the Web page information reception unit 106 and extracts feature words.

  The unknown word determination unit 108 determines whether the word is an unknown word based on the feature word extracted by the morphological analysis unit 107 and the use frequency of the feature word for each category. Specifically, it is determined whether or not the extracted feature word is stored in the feature word table (FIG. 4). If it is determined that the extracted feature word is stored in the feature word table (FIG. 4), the category to which the feature word belongs is extracted. Then, it is determined from the knowledge table (FIG. 5) whether or not the extracted category is an unknown category of the user, that is, whether or not the unknown category flag of the extracted category is “ON”. If it is determined that the category is unknown to the user, it is determined that the extracted feature word is an unknown word.

  The unknown word search unit 109 searches the Web server 3 for a feature word determined to be an unknown word, and acquires information related to the feature word determined to be an unknown word. In the present embodiment, the Web server 3 is searched for feature words and information related to the feature words is acquired. However, the present invention is not limited to this. For example, a dictionary DB storing feature word related information may be provided in the unknown word search server 1, and information related to the feature word may be acquired based on the dictionary DB. By doing in this way, since the information related to the feature word can be acquired by the same server, the time until the information is acquired can be shortened compared to the case of acquiring the information from the Web server 3.

  In the present embodiment, when there are a large number of feature words determined to be unknown words, the Web server 3 is searched for any of a plurality of feature words determined to be unknown words. It is good as well. By doing in this way, it can suppress searching abundantly and can provide a user with the search result of a moderate quantity of unknown words.

  The search result transmission unit 110 transmits information related to the feature word determined to be an unknown word acquired by the unknown word search unit 109 to the user terminal 2.

[Processing flow]
FIG. 6 is a flowchart showing processing until the user terminal 2 and the unknown word search server 1 according to the present embodiment display information related to the user's unknown word.

  In step S <b> 100, the extraction information transmission unit 21 acquires feature word extraction information and transmits it to the unknown word search server 1.

  In step S110, the extraction information receiving unit 101 receives the feature word extraction information transmitted from the user terminal 2 in step S100.

  In step S120, the feature word extraction unit 102 extracts feature words from the feature word extraction information received in step S110.

  In step S130, the feature word totaling unit 103 totalizes the extracted feature words by category based on the feature words extracted in step S120.

  In step S <b> 140, the totalization result registration unit 104 registers the total value of the extracted feature words for each category totaled in step S <b> 130 in the knowledge table of the knowledge DB 121.

  In step S150, the unknown category determination unit 105 determines the user's unknown category based on the total value of the extracted feature words for each category collected in step S140, and registers it in the knowledge table of the knowledge DB 121.

  In step S <b> 160, the web page information transmission unit 22 acquires information on the web page of the web server 3 accessed by the user terminal 2 and transmits it to the unknown word search server 1.

  In step S170, the web page information receiving unit 106 receives the web page information transmitted from the user terminal 2 in step S160.

  In step S180, the morpheme analysis unit 107 performs morpheme analysis on the Web page information received in step S170, and extracts feature words.

  In step S190, the unknown word determination unit 108 determines whether or not the feature word extracted in step S180 is an unknown word, and extracts the unknown word.

  In step S200, the unknown word search unit 109 searches the unknown word extracted in step S190 for information related to the unknown word using the Web server 3, and acquires a search result.

  In step S <b> 210, the search result transmission unit 110 transmits the search result of information related to the unknown word acquired in step S <b> 200 to the user terminal 2.

  In step S220, the search result receiving unit 23 receives the search result of the unknown word transmitted by the unknown word search server 1 in step S210 and displays it on the display unit 24.

[Display information display example]
7 and 8 are diagrams illustrating a display example when a search result of information related to an unknown word is displayed on the user terminal 2 according to the present embodiment. The user ID of the user is the user ID “AAA” stored in the knowledge table (FIG. 5). Further, regarding the total value of the extracted feature words in each category of the user ID “AAA”, the average value of the total value is 120 and the standard deviation is 20, and a value obtained by subtracting the standard deviation from the average value, that is, The description will be made assuming that the threshold value of the unknown word is 100.

  FIG. 7 is a diagram illustrating a state in which information on the Web page accessed by the user is displayed on the display unit 24 of the user terminal 2. A web page related to “Internet” is displayed on the browser 241 of the display unit 24, and information such as “TCP / IP protocol is used” is displayed on the display content 242.

  When the unknown word search service is used, the Web page information transmitting unit 22 of the user terminal 2 transmits information on the Web page indicated by the browser 241 to the unknown word search server 1. The web page information receiving unit 106 of the unknown word search server 1 receives web page information from the user terminal 2. Then, the morphological analysis unit 107 performs morphological analysis of the Web page information. The web page shown in FIG. 7 is subjected to morphological analysis to extract terms such as “Internet”, “TCP / IP”, and “protocol”. Then, the unknown word determination unit 108 determines whether or not the extracted term is an unknown word. First, the unknown word determination unit 108 determines whether or not the extracted feature word is stored in the feature word table (FIG. 4). Here, “TCP / IP” and “protocol” are registered as feature words of the category “IT”. Then, according to the knowledge table shown in FIG. 5, the total value of the extracted feature words in the category “IT” of the user ID “AAA” is “60”, which is smaller than 100, which is the threshold for unknown words. The unknown category flag is set to “ON”. Therefore, the category “IT” to which “protocol” and “TCP / IP” extracted as feature words belong is an unknown category. Therefore, the “protocol” and “TCP / IP” extracted as feature words by the unknown word determination unit 108 are determined to be unknown words of the user ID “AAA”.

  Subsequently, the unknown word search unit 109 searches the Web server 3 for information related to “TCP / IP” and “protocol” determined to be unknown words. Then, the search result is acquired and transmitted to the user terminal 2 by the search result transmission unit 110. Then, the search result receiving unit 23 of the user terminal 2 receives the search results of information related to “TCP / IP” and “protocol” and displays them on the display unit 24.

  FIG. 8 is a diagram illustrating a state in which information related to a term determined to be an unknown word is displayed on the display unit 24 of the user terminal 2 together with information on a Web page accessed by the user.

  Here, it is possible to confirm that “TCP / IP” and “protocol”, which are terms assumed to be unknown words of the user, are pop-up displayed by a browser 243 different from the browser 241. That is, it can be confirmed that information related to “TCP / IP” and “protocol” is collected and provided to the user. Therefore, even if “TCP / IP” and “protocol” are unknown words, the user can proceed with browsing the Web page without feeling bothered by searching each time. Further, since information related to “TCP / IP” and “protocol” is displayed, for example, even when the user wants to check “TCP / IP” and “protocol”, it is easily checked. be able to.

  As mentioned above, although embodiment of this invention was described, this invention is not restricted to embodiment mentioned above. The effects described in the embodiments of the present invention are only the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. is not.

It is a figure which shows the whole structure of the unknown word search server 1 which concerns on this embodiment, and a related element. It is a figure which shows the hardware constitutions of the unknown word search server 1 which concerns on this embodiment. It is a figure which shows the function structure of the unknown word search server 1 and user terminal 2 which concern on this embodiment. It is a figure which shows the feature word table stored in knowledge DB121 which concerns on this embodiment. It is a figure which shows the knowledge table stored in knowledge DB121 which concerns on this embodiment. It is a flowchart which shows the process until it displays the information relevant to the user's unknown word in the user terminal 2 and the unknown word search server 1 which concern on this embodiment. It is a figure which shows the state in which the information of the web page which the user accessed is displayed on the display part 24 of the user terminal 2 which concerns on this embodiment. It is a figure which shows the state in which the information relevant to the term determined to be an unknown word is displayed on the display part 24 of the user terminal 2 which concerns on this embodiment with the information of the web page which the user accessed.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Unknown word search server 2 User terminal 3 Web server 4 Communication network 20 Control part 21 Extraction information transmission part 22 Web page information transmission part 23 Search result reception part 24 Display part 25 Operation part 100 Control part 101 Extraction information reception part 102 Feature word extraction unit 103 Feature word totaling unit 104 Total result registration unit 105 Unknown category determination unit 106 Web page information reception unit 107 Morphological analysis unit 108 Unknown word determination unit 109 Unknown word search unit 110 Search result transmission unit 120 Storage unit 121 Knowledge DB

Claims (7)

An unknown word display method for searching and displaying information related to a term assumed to be an unknown word of a user in a web page,
For a specific term belonging to a predetermined category, based on a user's usage history, calculating in advance the frequency of use of the specific term for each predetermined category;
Determining an unknown category of the user based on the frequency of use of the specific term for each predetermined category;
When the user accesses the web page, performing a morphological analysis of the accessed web page;
As a result of morphological analysis of the web page, searching for a term belonging to the unknown category and determining the term as an unknown word;
Acquiring information related to the user's unknown word, and displaying information related to the acquired specific term together with the content of the web page;
An unknown word display method comprising: In the step of determining the unknown category, the calculated use frequency of the specific term for each predetermined category is totaled for each category by summing up for each category,
The total value is a normal distribution for the aggregated categories, and the category indicating a value equal to or less than a predetermined threshold among the normal distribution total values is determined as an unknown category of the user. Item 4. The unknown word display method according to Item 1.   The step of calculating the usage frequency of the specific term in advance uses the tag information of the user's social bookmark as the usage history of the user, and based on the usage history of the user, for each predetermined category, The method according to claim 1, wherein the use frequency is calculated in advance.   The step of calculating the usage frequency of the specific term in advance uses the information on the website accessed by the user as the usage history of the user, and the specific term for each predetermined category based on the usage history of the user. The method according to any one of claims 1 to 3, wherein the use frequency is calculated in advance.   The display step includes acquiring information related to the user's unknown word by dictionary search, and displaying the acquired information related to the specific term together with the content of the Web page. 5. The method according to any one of 4.   The displaying step includes acquiring information related to the unknown word of the user from a Web server on the Internet, and displaying the acquired information related to the specific term together with the content of the Web page. Item 5. The method according to any one of Items 1 to 4. An unknown word display system in which a user terminal and an unknown word search device are communicably connected and search and display information related to a term assumed to be an unknown word of a user in a web page,
When the user terminal accesses the web page, the user terminal has web page information transmission means for transmitting information on the accessed web page to the unknown word search device,
The unknown word search device includes:
Usage frequency calculation means for calculating in advance the usage frequency of the specific term for each predetermined category based on the user's usage history for the specific term belonging to the predetermined category;
Unknown category determining means for determining an unknown category of the user based on the frequency of use of the specific term for each predetermined category;
Web page information receiving means for receiving information on the accessed Web page from the user terminal;
Morphological analysis means for performing morphological analysis of the received web page received;
As a result of morphological analysis of the web page, an unknown word determination unit that searches for a term belonging to the unknown category and determines the term as an unknown word;
An unknown word information transmitting unit that acquires information related to the unknown word of the user and transmits information related to the acquired specific term to the user terminal together with the content of the Web page;
With
The user terminal includes unknown word information receiving means for receiving information related to the specific term transmitted by the unknown word information transmitting means,
An unknown word display system further comprising:

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