JP2005107688A - Information display method and system and information display program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To display information in order to grasp inter-latest information relevancy, and to easily acquire the detail document of a site providing a detail document related to the latest information, and to easily compare the contents of the detail documents. <P>SOLUTION: This information display method is provided to collect and store the latest Web document group updated or newly disclosed from disclosed Web documents, and to extract a plurality of keywords from each of those latest Web documents, and to calculate the evaluation values of the extracted keywords, and to classify the plurality of extracted keywords into categories based on a thesaurus, and to extract n number of items of the plurality of classified keywords by category units based on evaluation values, and to store those keywords as data for map generation, and to request and acquire the data for map generation at a client side, and to arrange the data for map generation at a preliminarily decided display position based on the evaluation values by category units for display on a display means. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to an information display method and system, and an information display program. For example, multimedia contents such as music, movies, news articles, and Web documents (hereinafter abbreviated as contents) are transmitted to general users via a network such as the Internet. Information display method for visualizing information related to content or content as keywords for users who use these services, installed in distribution services to be distributed and portal services that introduce various homepages, etc. The present invention relates to a system and an information display program.

Conventionally, in some sites such as many news sites existing on a network such as the Internet, a Web document that describes detailed contents of information on the latest world events at that time (hereinafter referred to as latest information). There is a method of displaying a list in a list format with a headline with a hyperlink to the document (hereinafter referred to as a detailed document) and a summary explanation (for example, see Non-Patent Document 1).
http://www.asahi.com/

  However, in the above conventional display method, since the headline with the hyperlink to the detailed document and the summary explanation are displayed in a list form simply listed, the relationship between the headlines is grasped. There is a problem that it is difficult.

  In addition, the hyperlinks attached to headings are limited to the detailed documents provided by the site or the detailed documents of other distribution sources that provide detailed documents for the site. There is a problem that it is difficult for the user to confirm the authenticity of the content of the detailed document as compared with the content described in the detailed document of the same latest information handled by the site.

  The present invention has been made in view of the above points, and is displayed so that the relevance between the latest information can be grasped, and details provided by a plurality of sites that provide detailed documents regarding the same latest information It is an object of the present invention to provide an information display method and system, and an information display program capable of easily acquiring a document and easily comparing the contents of a detailed document.

  FIG. 1 is a diagram for explaining the first principle of the present invention.

In the first invention, a plurality of Web documents (hereinafter referred to as “Web documents”) updated or newly published from electronic document information (hereinafter referred to as “Web documents”) disclosed on one or more terminals connected to the network are disclosed. An information display method for visualizing a plurality of keywords extracted from the latest Web document group,
In the information providing server,
The latest web document group updated or newly published from web documents published on one or more terminals connected to the network is collected and stored in the storage means (step 001).
A plurality of keywords are extracted from each collected latest web document (step 002),
The evaluation value of the extracted keyword is calculated (step 003),
Based on a thesaurus for classifying a keyword composed of each category name prepared in advance and a plurality of keywords belonging to the category, the plurality of extracted keywords are classified into categories (step 004),
Based on the evaluation value for each category, a plurality of classified keywords are extracted (n is a natural number) and stored in the storage means as map generation data (step 005).
In the user client terminal,
Request and obtain map generation data from the information providing server,
The map generation data is arranged at a predetermined display position based on the evaluation value in units of categories and displayed on the display means (step 006).

According to a second aspect of the present invention, there is provided an information display for visualizing a plurality of keywords updated or extracted from a plurality of newly published Web documents from one or more Web documents published on one or more terminals connected to a network. A method,
In the information providing server,
Collecting updated or newly released latest Web documents from among Web documents published on one or more terminals connected to the network and storing them in the storage means;
Extract multiple keywords from each of the collected latest web documents,
The first evaluation value and the second evaluation value of the extracted keyword are calculated, and extracted based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category. Categorize each keyword into categories,
Based on the first evaluation value in each category unit from a plurality of keywords classified into each category, n-s (n and s are natural numbers) and s total number of n keywords based on the second evaluation value Is extracted and stored in the storage means as map generation data.
In the user client terminal,
Request and obtain map generation data from the information providing server,
The map generation data is arranged at a display position determined in advance based on the first evaluation value and the second evaluation value for each category, and displayed on the display means.

  FIG. 2 is a diagram for explaining the second principle of the present invention.

According to a third aspect of the present invention, there is provided an information display for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from Web documents published on one or more terminals connected to a network. A method,
In the information providing server,
The latest web document group updated or newly published from web documents published on one or more terminals connected to the network is collected and stored in the storage means (step 007).
The latest Web document group is classified into categories (step 008),
A plurality of keywords are extracted from each category-categorized latest Web document (step 009),
Calculate the evaluation value of the extracted keyword (step 010),
N items are extracted from a plurality of keywords belonging to the category for each category based on the evaluation value, and stored in the storage means as map generation data (step 011);
In the user client terminal,
Request and obtain map generation data from the information providing server,
The map generation data is arranged at a predetermined display position based on the evaluation value in units of categories and displayed on the display means (step 012).

The fourth invention is an information display for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network. A method,
In the information providing server,
Collecting updated or newly released latest Web documents from among Web documents published on one or more terminals connected to the network and storing them in the storage means;
Classify the latest Web documents into categories,
Extract multiple keywords from each of the latest classified Web documents
Calculating a first evaluation value and a second evaluation value of the extracted keyword,
Based on the first evaluation value, n-s items are extracted from a plurality of keywords belonging to the category for each category unit and s total number n is extracted based on the second evaluation value and stored as map generation data. Stored in the means,
In the user client terminal,
Request and obtain data for map generation from the information providing server,
The map generation data is arranged at a display position determined in advance based on the first evaluation value and the second evaluation value for each category, and displayed on the display means.

The fifth invention is the user client terminal according to the first or third invention,
The display is switched between a detailed display that displays n keywords in each category and a representative display that displays m (m is a natural number n> m) from n keywords in each category as a representative keyword representing the category. .

The sixth aspect of the present invention is the user client terminal according to the second or fourth aspect of the present invention,
Detailed display that displays n keywords in each category, 1 keyword p selected on the basis of the first evaluation value from n keywords in each category and q keyword selected on the basis of the second evaluation value (P, q are natural numbers, m = p + q) The display is switched to the representative display that displays the representative keywords representing the category.

The seventh aspect of the present invention is the user client terminal of the first, third, or fifth aspect of the present invention,
Using the evaluation value as a reference, identification display is performed based on character attributes including font size, color, font, and icon display.

The eighth invention is the user client terminal of the second, fourth, or sixth invention,
Using the first evaluation value and the second evaluation value as a reference, identification display is performed with character attributes and icon display including the character size, color, and font of the keyword.

According to a ninth aspect of the invention, a plurality of Web documents (hereinafter referred to as “Web documents”) updated or newly published from electronic document information (hereinafter referred to as “Web documents”) disclosed on one or more terminals connected to the network are disclosed. An information display system for visualizing a plurality of keywords extracted from the latest Web document group,
Web document storage means for collecting the latest updated or newly released Web document group from the Web documents published on one or more terminals connected to the network and storing them in the storage means;
A keyword extracting means for extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating means for calculating an evaluation value of the extracted keyword;
A category classification means for classifying a plurality of extracted keywords into categories based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category;
An information providing server comprising: a map generation data generation unit that extracts a plurality of classified keywords based on the evaluation value in units of categories (n is a natural number) and stores it in a storage unit as map generation data;
Map generation data acquisition means for requesting and acquiring map generation data from the information providing server;
A user client terminal having display control means for arranging map generation data at a predetermined display position based on an evaluation value for each category and displaying the map generation data on the display means;

In a tenth aspect of the present invention, an information display for visualizing a plurality of keywords updated or extracted from a plurality of newly published Web documents from one or more Web documents published on one or more terminals connected to a network A system,
Web document storage means for collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network and storing them in a storage means;
A keyword extracting means for extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating means for calculating a first evaluation value and a second evaluation value of the extracted keyword;
Category classification means for classifying each extracted keyword into a category based on a thesaurus for classifying a keyword composed of each category name prepared in advance and a plurality of keywords belonging to the category;
Based on the first evaluation value in each category unit from a plurality of keywords classified into each category, n-s (n and s are natural numbers) and s total number of n keywords based on the second evaluation value And an information providing server having map generation data generation means for extracting and storing in the storage means as map generation data,
Map generation data acquisition means for requesting and acquiring map generation data from the information providing server;
A user client terminal having display control means for arranging map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displaying on the display means .

An eleventh aspect of the invention is an information display for visualizing a plurality of keywords extracted from a plurality of updated or newly published Web documents from one or more Web documents published on one or more terminals connected to a network. A system,
Web document collection means for collecting the latest Web document group updated or newly published from the web documents published on one or more terminals connected to the network and storing them in the storage means;
Category classification means for classifying the latest Web document group into categories,
Keyword extracting means for extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating means for calculating an evaluation value of the extracted keyword;
An information providing server comprising: a map generation data generation unit that extracts n items from a plurality of keywords belonging to a category for each category based on an evaluation value and stores it in a storage unit as map generation data;
Map generation data acquisition means for requesting and acquiring map generation data from the information providing server;
A user client terminal having display control means for arranging the map generation data at a predetermined display position based on the evaluation value for each category and displaying the data on the display means.

In a twelfth aspect of the present invention, an information display for visualizing a plurality of keywords extracted from a plurality of updated or newly published Web documents from Web documents published on one or more terminals connected to the network A system,
Web document storage means for collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network and storing them in a storage means;
Category classification means for classifying the latest Web document group into categories,
Keyword extracting means for extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating means for calculating a first evaluation value and a second evaluation value of the extracted keyword;
Based on the first evaluation value, n-s items are extracted from a plurality of keywords belonging to the category for each category unit and s total number n is extracted based on the second evaluation value and stored as map generation data. An information providing server having map generation data generation means stored in the means;
Map generation data acquisition means for requesting and acquiring map generation data from the information providing server;
A user client terminal having display control means for arranging map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displaying on the display means .

In a thirteenth aspect, the user client terminal according to the ninth and eleventh aspects comprises
The display is switched between a detailed display that displays n keywords in each category and a representative display that displays m (m is a natural number n> m) from n keywords in each category as a representative keyword representing the category. Including means.

In a fourteenth aspect, the tenth and twelfth user client terminals are
Detailed display that displays n keywords in each category, 1 keyword p selected on the basis of the first evaluation value from n keywords in each category and q keyword selected on the basis of the second evaluation value Includes means for switching the display to a representative display that displays a total of m (p, q are natural numbers, m = p + q) as a representative keyword representing the category.

In a fifteenth aspect, the ninth, eleventh and thirteenth user client terminals are
Based on the evaluation value, it includes means for performing identification display by character attributes including font size, color, font, and icon display.

In a sixteenth aspect, the tenth, twelfth, and fourteenth user client terminals are
Based on the first evaluation value and the second evaluation value, there is included means for performing identification display with character attributes and icon display including the character size, color, and font of the keyword.

According to a seventeenth aspect of the present invention, a plurality of Web documents (hereinafter referred to as “Web documents”) updated or newly published from electronic document information (hereinafter referred to as “Web documents”) disclosed on one or more terminals connected to the network. An information display program executed by an information providing server for visualizing a plurality of keywords extracted from the latest Web document group,
A Web document storage step of collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network and storing them in a storage unit;
A keyword extraction step for extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating step for calculating an evaluation value of the extracted keyword;
A category classification step for classifying a plurality of extracted keywords into categories based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category;
A map generation data generation step of extracting a plurality of classified keywords based on the evaluation value in units of categories (n is a natural number) and storing it in the storage means as map generation data is executed.

The eighteenth invention provides information for visualizing a plurality of keywords extracted from a plurality of newly released Web documents from among Web documents published on one or more terminals connected to a network. An information display program executed by the server,
A Web document storage step for collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A keyword extraction step of extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating step for calculating a first evaluation value and a second evaluation value of the extracted keyword;
A category classification step for classifying each extracted keyword into a category based on a thesaurus for classifying each keyword composed of each category name prepared in advance and a plurality of keywords belonging to the category;
Based on the first evaluation value in each category unit from a plurality of keywords classified into each category, n-s (n and s are natural numbers) and s total number of n keywords based on the second evaluation value And a map generation data generation step of storing in the storage means as map generation data.

The nineteenth invention provides information for visualizing a plurality of keywords extracted from a plurality of updated or newly published Web documents from one or more Web documents published on one or more terminals connected on the network. An information display program executed by the server,
A web document collection step of collecting a latest web document group updated or newly published from web documents published on one or more terminals connected to the network and storing them in a storage means;
A category classification step for classifying the latest Web document group into categories;
A keyword extraction step of extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating step for calculating an evaluation value of the extracted keyword;
A map generation data generation step of extracting n items from a plurality of keywords belonging to the category for each category based on the evaluation value and storing it in the storage means as map generation data is executed.

The twentieth invention provides information for visualizing a plurality of keywords extracted from a plurality of updated or newly published Web documents from one or more Web documents published on one or more terminals connected to the network. An information display program executed by the server,
A Web document storage step for collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A category classification step for classifying the latest Web document group into categories;
A keyword extraction step of extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating step for calculating a first evaluation value and a second evaluation value of the extracted keyword;
Based on the first evaluation value, n-s items are extracted from a plurality of keywords belonging to the category for each category unit and s total number n is extracted based on the second evaluation value and stored as map generation data. A map generation data generation step stored in the means.

A twenty-first invention is a user client that visualizes a plurality of keywords extracted from a plurality of updated or newly published Web documents from among Web documents published on one or more terminals connected to a network. An information display program executed by the terminal,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step is performed in which the map generation data is arranged in a predetermined display position based on the evaluation value for each category and displayed on the display means.

According to a twenty-second invention, a user client visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from Web documents published on one or more terminals connected to a network. An information display program executed by the terminal,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step is performed in which the map generation data is arranged in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displayed on the display means.

A twenty-third invention is a user client that visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from Web documents published on one or more terminals connected to a network. An information display program executed by the terminal,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step is performed in which the map generation data is arranged at a predetermined display position based on the evaluation value for each category and displayed on the display means.

A twenty-fourth invention is a user client for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from Web documents published on one or more terminals connected to a network. An information display program executed by the terminal,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step is performed in which the map generation data is arranged in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displayed on the display means.

  In a twenty-fifth aspect, in the twenty-first and twenty-third aspects, a detailed display for displaying n keywords in each category, and m items (m is a natural number n> m) from n keywords in each category. A step of performing display switching with a representative display displayed as a representative keyword is executed.

  In a twenty-sixth aspect, in the twenty-second and twenty-fourth aspects, a detailed display for displaying n keywords in each category, and a keyword p selected based on the first evaluation value from the n keywords in each category. A step of switching the display to a representative display in which a total of m keywords q selected based on the second evaluation value and the second evaluation value (p, q are natural numbers, m = p + q) is displayed as a representative keyword representing the category. Execute.

  In a twenty-seventh aspect, in the twenty-first, twenty-third, and twenty-fifth aspects, the step of performing identification display based on the evaluation value is used as a character attribute or icon display including the character size, color, and font of the keyword. .

  In a twenty-eighth aspect of the invention, a step of performing identification display with character attributes and icon display including the character size, color, and font of the keyword is executed on the basis of the first evaluation value and the second evaluation value.

  According to the present invention, a plurality of characteristic keywords are obtained from each of a plurality of Web documents in which detailed contents of a large amount of latest information collected by a robot-type search engine visiting sites published on a network are collected. A plurality of extracted keywords belong based on a thesaurus for extracting, calculating evaluation values of the extracted keywords, and classifying the keywords composed of each category name and a plurality of keywords belonging to the categories. A large amount of the latest information collected by categorizing into categories and displaying them at the display position corresponding to the evaluation value calculated in units of categories, or by visiting the sites where the robot-type search engine is published on the network A plurality of Web documents that can be described in detail are classified into categories. By extracting a plurality of characteristic keywords from these Web documents, calculating evaluation values of the extracted keywords, and displaying them at the display positions corresponding to the evaluation values calculated in units of categories, the relevance between the latest information can be increased. It becomes possible to make it easy to grasp.

  In addition, by selecting a keyword displayed in a category that the user is interested in, a keyword search is performed using the selected keyword as a search query, and a robot-type search engine circulates sites that are open on the network. By displaying search results for a large amount of detailed information on the latest information that has been collected, users can view detailed information on the latest information handled by multiple sites that provide the latest information from the search results screen. Since it can be easily browsed, the contents of a plurality of detailed documents relating to the same latest information can be compared, and the user can confirm the authenticity of the contents of the detailed documents.

  Embodiments of the present invention will be described below with reference to the drawings.

  First, a TF-IDF value used as an “evaluation standard” in the following first to fourth embodiments, and “second” in the second and fourth embodiments. The rapid increase used as an “evaluation standard” will be described.

  TF (term frequency) represents the number of occurrences of a keyword in a text document, and IDF (inverse document frequency) is an inverse of DF (document frequency) and is an index for characterizing a keyword that appears frequently only in a specific text document. . In the case of the keyword t and the number of text documents N, the IDF is defined as follows.

IDF (t) = log (N / df (t)) (1)
The TF-IDF value TFIDF (t) is a product of the above-described TF and this IDF, and is defined as follows. The greater the value, the higher the importance.

  Next, the “rapid rise” will be described.

  The degree of rapid increase is the degree of increase / decrease of the TF-IDF value over time. As a calculation method, for example, the TF-IDF value TFIDF (i) of the keyword at the time of calculation i (i is a natural number) and the immediately preceding one Using the TF-IDF value TFIDF (i-1) of the keyword at the time of calculation i-1, it can be defined as the following equation (2).

なお、本発明の実施の形態における想定シーンとしては、現時点における世の中の最新の事象として、本日行われているプロ野球の試合状況を扱うこととし、試合経過に伴ってＷｅｂ文書が更新され、抽出されたキーワード「イチロー」が「スポーツ」カテゴリとしてユーザクライアント上で表示され、ユーザはこの「イチロー」というキーワードを発見し、この「イチロー」に関する試合中の状況が記載されている最新の詳細文書を閲覧する場合を想定するものである。

As an assumed scene in the embodiment of the present invention, the current situation of the current professional baseball game is handled as the latest event at the present time, and the Web document is updated and extracted as the game progresses. The keyword “Ichiro” is displayed on the user client as the “Sports” category, and the user finds the keyword “Ichiro” and downloads the latest detailed document describing the situation during the game related to “Ichiro”. It assumes the case of browsing.

“First Embodiment”
In the present embodiment, a case will be described in which a keyword extracted from a Web document is displayed using a TF-IDF value as a selection criterion for n keywords for each category displayed on the user client.

  FIG. 3 shows a system configuration in the first embodiment of the present invention.

  In the system shown in FIG. 3, n items in a category unit are selected from a plurality of keywords extracted from Web documents newly published on the network 102 within a predetermined period of time or Web documents whose contents are updated. A user client terminal device (hereinafter simply referred to as a user client) 101 for display, a content providing server 103 that provides a detailed document relating to the latest information as a content entity, and a plurality of keyword data displayed on the user client 101 are mapped An information providing server 104 to be provided to the user client 101 for generation, a robot that provides a keyword search function and a yesterday that periodically circulates and collects all contents published on one or more terminals connected to the network Type search engine 105 is a network It is connected via a 102.

  The user client 101, the content providing server 103, and the information providing server 104 are connected via the Internet network 102. However, this is not limited to the Internet network, but a closed network network such as WAN or LAN. May be used.

  The information providing server 104 includes a Web document storage unit 107 for storing the latest Web document group newly released or updated from Web documents collected by the robot-type search engine 105 within a certain past time, Web The latest Web document group stored in the document storage unit 107 is read, a keyword extraction processing unit 108 that extracts a plurality of keywords for each read Web document, and a TF-IDF value is calculated as the importance of the extracted keywords. Evaluation value calculation processing unit 109, category classification processing unit 110 that classifies a plurality of extracted keywords into categories, category information storage unit 111 that stores a thesaurus in which category information for each keyword used in category classification is described, and category classification For generating maps that describe multiple keywords by category Over map generation data generating unit 112 for generating data, generated map maps storing data generation data storage unit 113, and an output processing unit 106 that communicates with the user client 101.

  The user client 101 includes a communication processing unit 114 that performs communication processing between the content providing server 103, the information providing server 104, and the robot-type search engine 105, determination of an arrangement location of each keyword presented on the display screen, and representative display / detailed display Display screen control unit 115 that performs the switching process, and a screen output process that displays a plurality of keywords for each category and performs a screen display process of the search result from the robot-type search engine 105 and the content provided from the content providing server 103 The unit 116 includes an input processing unit 117 that receives an input operation from the user and passes the received input operation information to the communication processing unit 114.

  First, a method for generating map generation data in the present embodiment will be described.

  FIG. 4 is a flowchart of a map generation data generation method according to the first embodiment of the present invention.

  The robot-type search engine 105 periodically writes a new Web document that did not exist on the network 102 and a Web document whose contents have been updated to the Web document storage unit 107 of the information providing server 104 via the network. Web documents are accumulated (step 101).

  When the writing is completed, the keyword extraction processing unit 108 reads a plurality of Web documents stored in the Web document storage unit 107, performs morphological analysis on each read Web document, and performs a plurality of keyword extraction processes. Perform (step 102). Note that the morphological analysis is described in “http://www.unixuser.org/˜euske/doc/nlpintro”, and thus the description thereof is omitted here. When the keyword extraction processing is completed, the evaluation value calculation processing unit 109 performs TF-IDF value calculation processing as the keyword importance (step 103). After the importance level calculation process is completed, the category classification processing unit 110 assigns category information to each keyword, and performs a classification process for classifying each keyword (step 104).

  As a method of classification processing, for example, a method of classifying all keywords using a thesaurus stored in the category information storage unit 111 is conceivable. In this embodiment, this method is used.

  When the classification process is completed, the map generation data generation unit 112 uses the TF-IDF value for each category, and the keywords classified into the category in descending order of the category name and the importance TF-IDF value. Map generation data listing n items is generated (step 105).

  For example, K keywords (k, 1), Kw (k, 2),..., Kw (k, n) are extracted from keywords whose category name belongs to Cat (k) (k is a natural number). The map generation data can be expressed as (3) below.

Map generation data Category name: Keyword 1, Keyword 2,..., Keyword n
Cat (k): Kw (k, 1), Kw (k2),..., Kw (k, n) (3)
However, the degree of importance is high: Kw (k, 1)> Kw (k, 2)>... Kw (k, n)
The generated map generation data is stored in the map generation data storage unit 113 (step 106).

  Next, processing at the time of use by the user will be described.

  FIG. 5 is a sequence chart at the time of user use in the first exemplary embodiment of the present invention.

  When the user presses a process start button displayed on the screen of the user client 101, message data requesting map generation data is transmitted from the user client 101 to the information providing server 104 (step 601).

  Upon receiving this message, the information providing server 104 reads the map generation data from the map generation data storage unit 113 and transmits it from the communication processing unit 106 to the user client 101 (steps 602 and 603).

  When the processing in step 603 is completed, the display screen control unit 115 of the user client 101 analyzes the received map generation data, and creates the screen for detailed display shown in FIG. 6 for each category. It should be noted that the relationship between the map generation data and the keyword placement position at the time of detailed display is as follows. When the placement positions in the category are Pos (1) to Pos (n), the keyword Kw (k, 1) in the category Cat (k) is used. ) Is Pos (1), Kw (k, 2) is Pos (2), and so on, as shown in FIG.

  After that, a representative display screen that displays m keywords (m = 1 in the present embodiment) with high importance is created based on the created detailed display screen, and the screen output processing unit 116 A representative screen as shown in FIG. 7A is displayed on the screen. Further, in the map generation data, the importance is expressed by the size expression of the character size such that the keyword having the higher importance (TF-IDF value is larger) displays the character size larger, and the lower is the smaller character display. Steps 604, 605). In the present embodiment, the degree of importance is expressed by the size of the character size, but character attributes such as icon display, font, and character color may be used.

  When a category name label with a category name is selected on this screen, the screen output processing unit 116 displays the screen shown in FIG. 7B composed of the detailed display screen of the selected category and the representative display screen of the non-selected category. Is displayed on the screen. Here, switching between the representative display and the detailed display screen of the selected category is assumed to continuously transition from the representative display to the detailed display by animation, and the screen transition method is, for example, the selected category area (hereinafter referred to as the category display). In order to prevent the category circle from protruding outside the display area, the center point of the category circle is set to the display area. A method of translating in the center direction and reducing the radius of other category circles not selected is adopted.

  When the user selects one arbitrary keyword on the detailed display screen, a keyword search request message for the selected keyword is transmitted to the robot-type search engine 105 (step 607). The robot type search engine 105 receives the search request message (step 608), and performs a keyword search process for “ICHIRO” (step 609). The search result subjected to the search processing by the robot type search engine 105 is transmitted to the user client 101 and received by the user client 101 (step 610), and the search result is displayed on the user client 101 as shown in FIG. It is displayed (step 611). In the example of the present embodiment, the search result when “ICHIRO” in FIG. 7B is selected is displayed in FIG.

  When a content that is a Web document that the user desires to browse is selected from the search results displayed on the screen of the user client 101 (step 612), a message for requesting data of the corresponding content is transmitted to the content providing server 103. To do. Upon receiving the message (step 613), the content providing server 103 distributes the corresponding content data to the user client 101 (step 614). The user client 101 receives the content data (step 615) and displays the content on the screen (step 616).

  The operation of the information providing server and the user client is constructed as a program, installed in a computer used as the information providing server and the user client, executed by a control means such as a CPU, or distributed through a network. It is also possible.

  When implementing the present invention, the built program is stored in a portable storage medium such as a hard disk, a flexible disk, or a CD-ROM connected to a computer used as an information providing server and a user client. It can also be installed and executed on a computer.

“Second Embodiment”
In the present embodiment, the keyword ns selected using the TF-IDF value as the first evaluation criterion and the variation value of the TF-IDF value over time as the second evaluation value (hereinafter, the rapid increase degree) A case will be described in which keywords extracted from a Web document are displayed on a user client using s selected keywords.

  The system configuration in the present embodiment is the same as that in the first embodiment described above, but the contents of the process of the evaluation value calculation unit 109 that calculates the evaluation value are different. In the first embodiment, only the TF-IDF values of a plurality of extracted keywords are calculated, but in the present embodiment, in addition to the calculation of the TF-IDF values, the calculation of the rapid increase is also performed in the evaluation value calculation processing unit. 109 is different from the point performed in 109 in that the display screen control unit 115 performs an arrangement process based on the first evaluation value and the second evaluation value of the keyword.

  Next, a method for generating map generation data in the present embodiment will be described.

  FIG. 9 is a flowchart of a map generation data generation method according to the second embodiment of the present invention.

  The robot-type search engine 105 periodically circulates sites that are open on the network, collects Web documents, and updates the content of new Web documents that did not exist on the same site at the time of the previous collection. The Web document is written to the Web document storage unit 107 of the information providing server 104 via the network, and the Web document is stored (step 201). When the writing is completed, the keyword extraction processing unit 108 reads a plurality of Web documents stored in the Web document storage unit 107, performs morphological analysis on each Web document, and performs a plurality of keyword extraction processes (Step S1). 202). When the keyword extraction process is completed, the evaluation value calculation processing unit 109 performs a calculation process of the TF-IDF value as the importance of the keyword and a calculation process of the rapid increase that is a temporal variation value of the TF-IDF value ( Step 203). After the calculation process of the importance level and the rapid increase level, the category classification processing unit 110 assigns category information to each keyword, and performs the classification process for each category (step 204).

  Note that the classification processing method is the same as that in the first embodiment described above, and therefore the description thereof is omitted.

  When the classification process is completed, the map generation data generation unit 112 uses the importance level and the rapid increase level for each category, and the total of the s items with the high increase rate and the ns items with the high importance level. N keywords are extracted, and map generation data is generated that lists s keywords selected based on the category name and the rapid increase, and ns keywords selected based on the importance (step 205). ).

  Here, the selection process of the keyword s having a high degree of rapid increase in category units and the keyword ns having a high importance will be described with reference to FIG. First, in a category, those with a high degree of rapid increase are extracted first, and then keywords ns with high importance are extracted. In addition, when a keyword with high importance is included in s keywords with a high degree of rapid increase, duplicate high importance keywords are excluded, and the keyword with the next highest importance is next to ns keywords. Add a new keyword as a display keyword.

  In this embodiment, when a keyword with high importance is included in s keywords with a high degree of rapid increase, the keyword with high degree of rapid increase is excluded, but conversely, the degree of rapid increase is high. When keywords are excluded, they may be displayed without eliminating duplication.

  The generated map generation data is stored in the map generation data storage unit 113 (step 206).

  Next, the flow of processing at the time of user use in the present embodiment will be described with reference to FIG.

  When the user presses a process start button displayed on the screen of the user client 101, message data requesting map generation data is sent from the user client 101 to the information providing server 104 (step 601).

  Upon receiving this message, the information providing server 104 reads the map generation data from the map generation data storage unit 113 and transmits it from the communication processing unit 106 to the user client 101 (steps 602 and 603).

  When the processing in step 603 is completed, the display screen control unit 115 of the user client 101 analyzes the received map generation data, and creates the screen for detailed display shown in FIG. 10 for each category. It should be noted that the relationship between the map generation data and the position of the keyword at the time of the detailed display is such that s keywords Kw (k, 1) selected by the evaluation criteria for the rapid increase in the category Cat (k) are Pos (1), , Kw (k, s) is Pos (s), and ns keywords Kw (k, s + 1) selected according to the importance evaluation criteria are Pos (s + 1), ..., Kw (k, n) corresponds to Pos (n) as shown in FIG.

  After that, based on the created map at the time of detailed display, a screen at the time of representative display that displays q keywords with a high degree of rapid rise and p keywords with a high degree of importance (p = 1, q = 1 in the present embodiment). The representative screen is generated and displayed on the screen through the screen output processing unit 116 as shown in FIG. In addition, a “sudden rise” icon is displayed for the keyword selected according to the criteria for evaluating the rapid increase in the map generation data, and the keyword having a higher importance (large TF-IDF value) is displayed with a larger character size. The importance is expressed by expressing the size of the character size such that the lower one is displayed smaller (steps 604 and 605). In the present embodiment, the keyword selected by the evaluation criterion for the rapid increase according to the icon display and the size of the character and the keyword selected by the evaluation criterion for the importance are represented, but besides this, Character attributes such as icon display, font, and character color may be used.

  When a label with a category name is selected on this screen, the screen shown in FIG. 11 (B), which is composed of map data at the time when the selected category is displayed in detail and representative display map data of a non-selected category, is displayed. And displayed on the screen via the screen output processing unit 116. Here, switching of the screen between the representative display and the detailed display is assumed to continuously transition from the representative display to the detailed display by animation.

  Since the screen transition method used in the first embodiment is used, detailed description thereof is omitted.

  When one arbitrary keyword is selected on the detailed display screen, a keyword search request message for the selected keyword is sent to the robot-type search engine 105 (step 607). The robot type search engine 105 receives the search request message (step 608), and performs a keyword search process for “ICHIRO” (step 609). The search result subjected to the search processing by the robot type search engine 105 is transmitted to the user client 101 and received by the user client 101 (step 610), and the search result is displayed on the user client 101 as shown in FIG. Are displayed (step 611). In this embodiment, the search result when “ICHIRO” in FIG. 11B is selected is displayed in FIG.

  When content that is a Web document that the user wants to browse is selected from the search results displayed on the screen of the user client 101W (step 612), a message for requesting data of the corresponding content is transmitted to the content providing server 103. To do. Upon receiving the message (step 613), the content providing server 103 distributes the corresponding content data to the user client 101 (step 614). The user client 101 receives the content data (step 615) and displays the content on the screen (step 616).

  The operation of the information providing server and the user client is constructed as a program, installed in a computer used as the information providing server and the user client, executed by a control means such as a CPU, or distributed through a network. It is also possible.

  When implementing the present invention, the built program is stored in a portable storage medium such as a hard disk, a flexible disk, or a CD-ROM connected to a computer used as an information providing server and a user client. It can also be installed and executed on a computer.

“Third Embodiment”
In the present embodiment, a case will be described in which a TF-IDF value is used as a selection criterion for n keywords for each category displayed on the user client.

  FIG. 12 shows a system configuration in the third embodiment of the present invention.

  The system shown in the figure is for displaying a plurality of keywords extracted from each WeB document newly published on the network within a certain period of time in the past or a Web document whose contents have been updated in categories. A user client 201, a content providing server 203 that provides a detailed document relating to the latest information as an entity of content, an information providing server 204 that provides a plurality of keyword data to be displayed on the user client 201 to the user client 201 as map generation data, A robot type search engine 205 that provides a function of periodically collecting all contents published on one or more terminals connected to the network and a keyword search function are connected via the network 202.

  The user client 201, the content providing server 203, and the information providing server 204 are connected to each other via the Internet network 202. However, this is not limited to the Internet network, but a closed network network such as a WAN or a LAN. May be used.

  The information providing server 204 includes a Web document storage unit 207 for storing the latest Web document group newly released or updated from Web documents collected by the robot-type search engine 205 within a certain past period. The latest Web document stored in the Web document storage unit 207 is read and classified into categories, the category classification processing unit 208, the keyword extraction processing unit 209 that extracts a plurality of keywords from each of the plurality of category-categorized Web documents, and the extracted plurality An evaluation value calculation processing unit 210 that calculates a TF-IDF value as an importance that is an evaluation value of a keyword, and generates map generation data in which keywords extracted from a plurality of categorized Web documents are described by category Data generation unit 211, a machine for storing the generated map data Flop generation data storage unit 212, and an output processing unit 206 that communicates with the user client 201.

  The user client 201 includes a communication processing unit 213 that performs communication processing between the content providing server 203, the information providing server 204, and the robot-type search engine 205. Display screen control unit 214 that performs the switching process, and a screen output process that displays a plurality of keywords for each category and performs a screen display process of the search result from the robot-type search engine 205 and the content provided from the content providing server 203 The unit 215 includes an input processing unit 217 that receives an input operation from the user and transfers the received input operation information to the communication processing unit 214.

  Next, a method for generating map generation data in the present embodiment will be described.

  FIG. 13 is a flowchart of the map generation data generation method according to the third embodiment of the present invention.

  The robot-type search engine 205 periodically visits a site that is open on the network 202, collects a Web document, and the content is updated with a new Web document that did not exist on the same site at the time of the previous collection. The Web document is written to the Web document storage unit 207 of the information providing server 204 via the network 202, and the Web document is stored (step 301). When the writing is completed, the category classification processing unit 208 classifies the accumulated Web documents into categories. For category classification, the method described in “Japanese Patent Laid-Open No. 11-328211“ Automatic mass information classification method and apparatus and recording medium on which mass information automatic classification program is recorded ””, which is a well-known technique, is applied. Detailed description is omitted.

  When the category classification process is completed, morphological analysis is performed on each of the plurality of Web documents classified by the keyword extraction processing unit 209, and a plurality of keyword extraction processes are performed (step 303).

  Note that the morphological analysis is described in “http://www.unixuser.org/˜euske/doc/nlpintro”, and thus the description thereof is omitted here. When the keyword extraction processing is completed, the evaluation value calculation processing unit 210 performs TF-IDF value calculation processing as keyword importance (step 304). After the importance level calculation process is completed, the map generation data generation unit 211 uses the TF-IDF value for each category to classify the category name and the importance level TF-IDF value in descending order. The map generation data described in the above (3) listing n keywords is generated (step 305). The generated map generation data is stored in the map generation data storage unit 212 (step 306).

  Note that the method of determining the keyword placement location from the map generation data in the display screen control unit 214 is the same as in the first embodiment described above, and thus the description thereof is omitted here.

  Next, processing at the time of use by the user will be described.

  FIG. 14 is a sequence chart of processing when the user uses the third embodiment of the present invention.

  When the user presses a process start button displayed on the screen of the user client 201, message data requesting map generation data is transmitted from the user client 201 to the information providing server 204 (step 701).

  Upon receiving this message, the information providing server 204 reads the map generation data from the map generation data storage unit 212 and transmits it from the communication processing unit 206 to the user client 201 (steps 702 and 703).

  When the processing in step 703 is completed, the display screen control unit 214 of the user client 201 analyzes the received map generation data, and creates the screen for the detailed display shown in FIG. 6 for each category. Note that the relationship between the map generation data and the keyword arrangement position at the time of detailed display is the same as that in the first embodiment, and a description thereof will be omitted.

  After that, based on the created map at the time of detailed display, a high-importance keyword m (m is m = 2 as in the above-described second embodiment) is created, and a representative display screen is created. A representative screen is displayed on the screen via the output processing unit 215 as shown in FIG. Further, in the map generation data, the importance is expressed by the size expression of the character size such that the keyword having the higher importance (TF-IDF value is larger) displays the character size larger, and the lower is the smaller character display. Steps 704 and 705). In the present embodiment, the degree of importance is expressed by the size of the character size, but character attributes such as icon display, font, and character color may be used.

  When a category name label with a category name is selected on this screen, it is shown in FIG. 7B, which is composed of map data when the selected category is created and displayed in detail and representative display map data of a non-selected category. The screen is displayed on the screen via the screen output processing unit 215 (step 706). Here, the switching of the screen between the representative display and the detailed display is assumed to continuously transition from the representative display to the detailed display by animation. Here, the screen transition method uses the method of the first embodiment described above.

  When the user selects one arbitrary keyword on the detailed display screen, a keyword search request message for the selected keyword is transmitted to the robot type search engine 205 (step 707). The robot type search engine 205 receives the search request message (step 708), and performs a keyword search process for “ICHIRO” (step 709). The search result subjected to the search processing by the robot type search engine 205 is transmitted to the user client 201 and received by the user client 201 (step 710), and the search result is displayed on the user client 201 as shown in FIG. It is displayed (step 711). The example shown in the figure is a search result when “ICHIRO” in FIG. 7B is selected.

  When content that is a Web document that the user desires to browse is selected from the search results displayed on the screen of the user client 201 (step 712), a message for requesting data of the corresponding content is transmitted to the content providing server 203. To do. When receiving the message (step 713), the content providing server 203 distributes the corresponding content data to the user client 201 (step 714). The user client 201 receives the content data (step 715) and displays the content on the screen (step 716).

  The operation of the information providing server and the user client is constructed as a program, installed in a computer used as the information providing server and the user client, executed by a control means such as a CPU, or distributed through a network. It is also possible.

  When implementing the present invention, the built program is stored in a portable storage medium such as a hard disk, a flexible disk, or a CD-ROM connected to a computer used as an information providing server and a user client. It can also be installed and executed on a computer.

[Fourth Embodiment]
In the present embodiment, the keyword ns selected using the TF-IDF value as the first evaluation criterion in category units and the rapid increase over time of the TF-IDF value as the second evaluation criterion are selected. A case where s keywords are displayed on the user client will be described.

  The system configuration diagram in the present embodiment is the same as that in the third embodiment described above, but the processing content of the evaluation value calculation processing unit 210 that calculates the evaluation value is extracted in the third embodiment. In this embodiment, only the TF-IDF value of a plurality of keywords is calculated. In addition to the calculation of the TF-IDF value, the evaluation value calculation unit 210 also calculates the rapid increase degree, and the display screen. The control unit 214 is different in that the placement process is performed based on the first evaluation value and the second evaluation value of the keyword.

  A method for generating map generation data in this embodiment will be described.

  FIG. 15 is a flowchart of a map generation data generation method according to the fourth embodiment of the present invention.

  The robot-type search engine 205 periodically circulates sites published on the network, collects Web documents, and contents are updated with new Web documents that did not exist on the same site at the time of the previous K collection. The Web document is written to the Web document storage unit 207 of the information providing server 204 via the network 202, and the Web document is stored (step 401). When the writing is completed, the category classification processing unit 208 classifies the accumulated Web documents into categories. The category classification is described in “Japanese Patent Laid-Open No. 11-328211,“ Automatic Mass Information Classification Method and Apparatus and Recording Medium Recording Mass Information Automatic Classification Program ””, which is the same known technique as the above-described third embodiment. This method is applied in the present embodiment, and detailed description thereof is omitted. When the category classification process is completed, a morphological analysis is performed on each of a plurality of Web documents classified by the keyword extraction processing unit 209, and a plurality of keyword extraction processes are performed (step 403). Note that the morphological analysis is described in “http://www.unixuser.org/˜euske/doc/nlpintro”, and thus the description thereof is omitted here. When the keyword extraction processing is completed, the evaluation value calculation processing unit 210 calculates the TF-IDF value using the first evaluation value of the keyword as the importance and the second evaluation value of the keyword as the degree of rapid increase. Calculation processing is performed (step 404). After the calculation process of the importance level and the rapid increase degree is completed, the map generation data generation unit 211 uses the importance level and the rapid increase level for each category, so that the number of the high increase degree and the high importance level n− s total number of n keywords are extracted, and map generation data is generated that lists s keywords selected based on category name and rapid increase, and ns keywords selected based on importance. Perform (step 405). The generated map generation data is stored in the map generation data storage unit 212 (step 406).

  Here, it is assumed that the method described in the second embodiment described above is used for the selection processing of the keyword s having a high degree of rapid increase in category units and the keyword ns having a high importance.

  Note that the method of determining the keyword placement location from the map generation data in the display screen control unit 214 is the same as in the second embodiment, and thus the description thereof is omitted here.

  The processing at the time of user use in the present embodiment is shown using FIG. 14 as in the third embodiment described above, but the representative display (step 705) and the detailed display (step 706) on the user client 201 are shown. Therefore, only the steps 705 and 706 will be described here.

  When the processing in step 704 is completed, the display screen control unit 214 of the user client 201 analyzes the received map generation data, and creates the screen at the time of detailed display shown in FIG. 10 for each category. It should be noted that the relationship between the map generation data and the position of the keyword at the time of the detailed display is such that the keyword Kw (k, 1) selected according to the evaluation criteria for the rapid increase in the category Cat (k) is Pos (1),. , Kw (k, s) is Pos (s), the keyword Kw (k, s + 1) selected by the importance evaluation criterion is Pos (s + 1), ..., Kw (k, n) is Pos (n). As shown in FIG. 10, they are arranged correspondingly.

  After that, based on the created map at the time of detailed display, the keyword q having a high rise rate and the keyword p having a high degree of importance (in this embodiment, p = 1 and q = 1, which are the same as those in the second embodiment) ) Is displayed and a representative screen is displayed on the screen via the screen output processing unit 215 as shown in FIG. 11A. In addition, a keyword that is selected according to the criteria for evaluating the rapid increase in the map generation data is displayed with a “rapid increase” icon, and the higher the importance (the larger the TF-IDF value), the larger the character size is displayed. The degree of importance is expressed by expressing the size of the character size such that the lower one is displayed smaller. In the present embodiment, the keyword selected by the evaluation criterion for the rapid increase according to the icon display and the size of the character and the keyword selected by the evaluation criterion for the importance are represented, but besides this, Character attributes such as icon display, font, and character color may be used.

  When a label with a category name is selected on this screen, the screen shown in FIG. 11 (B), which is composed of map data at the time when the selected category is displayed in detail and representative display map data of a non-selected category, is displayed. And displayed on the screen via the screen output processing unit 215. Here, switching of the screen between the representative display and the detailed display is assumed to continuously transition from the representative display to the detailed display by animation.

  Since the screen transition method described in the first embodiment is used, detailed description is omitted.

  The operation of the information providing server and the user client is constructed as a program, installed in a computer used as the information providing server and the user client, executed by a control means such as a CPU, or distributed through a network. It is also possible.

  When implementing the present invention, the built program is stored in a portable storage medium such as a hard disk, a flexible disk, or a CD-ROM connected to a computer used as an information providing server and a user client. It can also be installed and executed on a computer.

  The present invention is not limited to the above-described embodiment, and various modifications and applications can be made within the scope of the claims.

  The present invention is applicable to a distribution service that distributes multimedia contents such as music, movies, news articles, and Web documents to general users via a network such as the Internet, and a portal service that introduces various home pages.

It is a figure for demonstrating the 1st principle of this invention. It is a figure for demonstrating the 2nd principle of this invention. It is a system configuration figure in a 1st embodiment of the present invention. It is a flowchart of the production | generation method of the data for map generation in the 1st Embodiment of this invention. It is a sequence chart at the time of user use in a 1st embodiment of the present invention. It is a figure which shows the data for map generation and keyword arrangement position in the 1st Embodiment of this invention. It is a screen image figure in the 1st Embodiment of this invention. It is an example of the search result in the 1st Embodiment of this invention. It is a flowchart of the production | generation method of the data for map generation in the 2nd Embodiment of this invention. It is a figure showing the data for map generation in the 2nd Embodiment of this invention, and the arrangement position of a keyword. It is a screen image figure in the 2nd Embodiment of this invention. It is a system block diagram in the 3rd Embodiment of this invention. It is a flowchart of the production | generation method of the data for map production | generation in the 3rd Embodiment of this invention. It is a sequence chart of the process at the time of the user use in the 3rd Embodiment of this invention. It is a flowchart of the production | generation method of the data for map production | generation in the 4th Embodiment of this invention.

Explanation of symbols

101, 201 User client (terminal)
102, 202 Internet network 103, 203 Content providing server 104, 204 Information providing server 105, 205 Robotic search engine 106, 206 Communication processing unit 107, 207 Web document storage unit 108, 209 Keyword extraction processing unit 109, 210 Evaluation value calculation Processing unit 110, 208 Category classification processing unit 111 Category information storage unit 112, 211 Map generation data generation unit 113, 212 Map generation data storage unit 114, 213 Communication processing unit 115, 214 Display screen control unit 116, 215 Screen output Processing unit 117, 216 Input processing unit 301 Map generation data 302 Category name 305 Display position 306 Keyword display position on user client (screen during detailed display)
307 Keyword display position on user client (representative display screen)
401 List of keywords for map display 402 Category name 403 Display position of s keywords with high degree of rapid rise 404 Keyword display position of ns keywords with high degree of importance 406 Display position of keywords on user client (screen during detailed display)
407 Keyword display position on user client (screen during representative display)
501 Search result list 601 Category circle 602 High importance keyword 603 Category name label 604 Low importance keyword 701 Category circle 702 High importance keyword 703 Category name label 704 Rapidly rising identification icon 705 Low importance keyword

Claims (28)

A plurality of Web documents updated or newly released (hereinafter referred to as the latest Web document group) from electronic document information (hereinafter referred to as Web documents) disclosed on one or more terminals connected to the network. ) Is an information display method that visualizes multiple keywords extracted from
In the information providing server,
Collecting updated or newly released latest Web documents from among Web documents published on one or more terminals connected to the network and storing them in a storage means;
A plurality of keywords are extracted from each of the collected latest Web documents,
Calculate the evaluation value of the extracted keyword,
Based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category, the extracted keywords are classified into categories,
Based on the evaluation value, a plurality of classified keywords are extracted in n (n is a natural number) and stored in the storage means as map generation data.
In the user client terminal,
Request and obtain the map generation data from the information providing server,
An information display method characterized in that the map generation data is arranged at a display position predetermined based on the evaluation value for each category and displayed on a display means. An information display method for visualizing a plurality of keywords updated or extracted from a plurality of newly published Web documents from one or more Web documents published on one or more terminals connected to a network,
In the information providing server,
Collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network, and storing them in a storage means;
Extract multiple keywords from each of the collected latest web documents,
A first evaluation value and a second evaluation value of the extracted keyword are calculated, and based on a thesaurus for classifying keywords composed of a plurality of keywords belonging to each category name and the category prepared in advance. Classify each extracted keyword into categories,
Based on the first evaluation value for each category from a plurality of keywords classified into each category, ns items (n and s are natural numbers) and s total number of n items based on the second evaluation value Are extracted and stored in the storage means as map generation data.
In the user client terminal,
Request and obtain map generation data from the information providing server,
An information display method characterized in that the map generation data is arranged at a display position determined in advance on the basis of the first evaluation value and the second evaluation value for each category and displayed on a display means. An information display method for visualizing a plurality of keywords extracted from a plurality of updated or newly published web documents from one or more web documents published on one or more terminals connected on a network,
In the information providing server,
Collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network, and storing them in a storage means;
Classifying the latest Web document group into categories;
Extract multiple keywords from each of the latest classified Web documents
Calculate the evaluation value of the extracted keyword,
N is extracted from a plurality of keywords belonging to each category unit based on the evaluation value, and is stored in the storage means as map generation data;
In the user client terminal,
Request and obtain the map generation data from the information providing server,
An information display method, wherein the map generation data is arranged in a category unit at a predetermined display position based on the evaluation value and displayed on a display means. An information display method for visualizing a plurality of keywords extracted from a plurality of updated or newly published web documents from one or more web documents published on one or more terminals connected on a network,
In the information providing server,
Collecting a latest Web document group updated or newly released from Web documents published on one or more terminals connected to the network, and storing them in a storage means;
Classifying the latest Web document group into categories;
Extract multiple keywords from each of the latest classified Web documents
Calculating a first evaluation value and a second evaluation value of the extracted keyword;
Map generation data by extracting n-s items based on the first evaluation value and n items on the basis of the second evaluation value from a plurality of keywords belonging to the category for each category. As a storage means,
In the user client terminal,
Request and obtain the map generation data from the information providing server,
An information display method characterized in that the map generation data is arranged at a display position determined in advance on the basis of the first evaluation value and the second evaluation value for each category and displayed on a display means. In the user client terminal,
The display is switched between a detailed display that displays n keywords in each category and a representative display that displays m (m is a natural number n> m) from n keywords in each category as a representative keyword representing the category. The information display method according to claim 1 or 3. In the user client terminal,
Detailed display for displaying n keywords in each category, p keywords selected from the n keywords in each category based on the first first evaluation value, and keywords selected based on the second evaluation value 5. The information display method according to claim 2 or 4, wherein display switching is performed with a representative display that displays a total of q cases (p, q are natural numbers, m = p + q) as a representative keyword representing a category. In the user client terminal,
6. The information display method according to claim 1, 3 or 5, wherein identification display is performed with character attributes including a character size of a keyword, a color, a font, and an icon display with the evaluation value as a reference. In the user client terminal,
7. The information according to claim 2, 4 or 6, wherein identification display is performed with character attributes and icon display including keyword character size, color, and font on the basis of the first evaluation value and the second evaluation value. Display method. A plurality of Web documents updated or newly released (hereinafter referred to as the latest Web document group) from electronic document information (hereinafter referred to as Web documents) disclosed on one or more terminals connected to the network. ) Is an information display system that visualizes multiple keywords extracted from
Web document storage means for collecting a latest Web document group updated or newly published from Web documents published on one or more terminals connected to the network and storing the group in a storage means;
Keyword extracting means for extracting a plurality of keywords from each of the collected latest Web documents;
Evaluation value calculating means for calculating an evaluation value of the extracted keyword;
A category classification means for classifying a plurality of extracted keywords into categories based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category;
An information providing server having a map generation data generation unit that extracts a plurality of classified keywords based on the evaluation value in a category unit (n is a natural number) and stores the extracted keywords in a storage unit as map generation data;
Map generation data acquisition means for requesting and acquiring the map generation data from the information providing server;
The map generation data is arranged in a category unit at a predetermined display position based on the evaluation value, and has a display control means for displaying on the display means. Information display system. An information display system for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to a network,
Web document storage means for collecting the latest Web document group updated or newly published from the Web documents published on one or more terminals connected to the network and storing them in the storage means;
A keyword extracting means for extracting a plurality of keywords from each of the collected latest Web documents;
Evaluation value calculating means for calculating a first evaluation value and a second evaluation value of the extracted keyword;
Category classification means for classifying each extracted keyword into a category based on a thesaurus for classifying a keyword composed of each category name prepared in advance and a plurality of keywords belonging to the category;
Based on the first evaluation value for each category from a plurality of keywords classified into each category, ns items (n and s are natural numbers) and s total number of n items based on the second evaluation value An information providing server comprising: a map generation data generation means for extracting the keywords of and storing in a storage means as map generation data;
Map generation data acquisition means for requesting and acquiring map generation data from the information providing server;
A user client terminal comprising: display control means for arranging the map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value, and displaying the display on the display means; And an information display system. An information display system for visualizing a plurality of keywords extracted from a plurality of updated or newly published web documents from one or more web documents published on one or more terminals connected on a network,
Web document collection means for collecting a latest Web document group updated or newly published from Web documents published on one or more terminals connected to the network and storing the group in a storage means;
Category classification means for classifying the latest Web document group into categories;
Keyword extracting means for extracting a plurality of keywords from each of the latest Web documents classified into categories;
Evaluation value calculating means for calculating an evaluation value of the extracted keyword;
An information providing server comprising: a map generation data generation means for extracting n cases from a plurality of keywords belonging to a category in each category unit and storing the extracted data as map generation data in a storage means;
Map generation data acquisition means for requesting and acquiring the map generation data from the information providing server;
An information display comprising: a user client terminal having display control means for arranging the map generation data in a category unit at a predetermined display position based on the evaluation value and displaying on the display means system. An information display system for visualizing a plurality of keywords extracted from a plurality of updated or newly published web documents from one or more web documents published on one or more terminals connected on a network,
Web document storage means for collecting the latest Web document group updated or newly published from the Web documents published on one or more terminals connected to the network and storing them in the storage means;
Category classification means for classifying the latest Web document group into categories;
Keyword extracting means for extracting a plurality of keywords from each of the latest Web documents classified into categories;
Evaluation value calculating means for calculating a first evaluation value and a second evaluation value of the extracted keyword;
Map generation data by extracting n-s items based on the first evaluation value and n items on the basis of the second evaluation value from a plurality of keywords belonging to the category for each category. An information providing server having map generating data generating means for storing in the storage means as
Map generation data acquisition means for requesting and acquiring the map generation data from the information providing server;
A user client terminal comprising: display control means for arranging the map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value, and displaying the display on the display means; And an information display system. The user client terminal is
The display is switched between a detailed display that displays n keywords in each category and a representative display that displays m (m is a natural number n> m) from n keywords in each category as a representative keyword representing the category. 12. The information display system according to claim 9 or 11, comprising means. The user client terminal is
Detailed display for displaying n keywords in each category, p keywords selected from the n keywords in each category based on the first first evaluation value, and keywords selected based on the second evaluation value 13. The information display system according to claim 10 or 12, further comprising means for switching display with a representative display that displays a total of q cases (p, q are natural numbers, m = p + q) as a representative keyword representing a category. The user client terminal is
14. The information display system according to claim 9, 11 or 13, further comprising means for performing identification display by character attributes including a character size of a keyword, a color, a font, and an icon display with the evaluation value as a reference. The user client terminal is
15, 12, or 14, further comprising means for performing identification display with character attributes and icon display including a character size, color, and font of a keyword based on the first evaluation value and the second evaluation value. The information display system described. A plurality of Web documents updated or newly released (hereinafter referred to as the latest Web document group) from electronic document information (hereinafter referred to as Web documents) disclosed on one or more terminals connected to the network. An information display program executed by an information providing server for visualizing a plurality of keywords extracted from
A web document storage step of collecting a latest web document group updated or newly published from web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A keyword extraction step of extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating step for calculating an evaluation value of the extracted keyword;
A category classification step for classifying a plurality of extracted keywords into categories based on a thesaurus for classifying keywords composed of each category name prepared in advance and a plurality of keywords belonging to the category;
A map generation data generation step of extracting n (n is a natural number) based on the evaluation value for each category of the plurality of classified keywords, and storing the extracted keywords as map generation data in a storage unit; Information display program. Information display executed by an information providing server that visualizes a plurality of keywords updated or extracted from a plurality of newly published Web documents from one or more Web documents published on one or more terminals connected to the network A program,
A web document storage step of collecting a latest web document group updated or newly published from web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A keyword extraction step of extracting a plurality of keywords from each of the collected latest Web documents;
An evaluation value calculating step of calculating a first evaluation value and a second evaluation value of the extracted keyword;
A category classification step for classifying each extracted keyword into a category based on a thesaurus for classifying each keyword composed of each category name prepared in advance and a plurality of keywords belonging to the category;
Based on the first evaluation value for each category from a plurality of keywords classified into each category, ns items (n and s are natural numbers) and s total number of n items based on the second evaluation value And a map generation data generation step of extracting the keywords and storing them in a storage means as map generation data. Information display executed by an information providing server for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A web document collection step of collecting a latest web document group updated or newly published from web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A category classification step of classifying the latest Web document group into categories;
A keyword extraction step of extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating step for calculating an evaluation value of the extracted keyword;
Performing a map generation data generation step of extracting n items from a plurality of keywords belonging to a category for each category based on the evaluation value and storing them in a storage means as map generation data Information display program. ,
Information display executed by an information providing server for visualizing a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A web document storage step of collecting a latest web document group updated or newly published from web documents published on one or more terminals connected to the network and storing the group in a storage unit;
A category classification step of classifying the latest Web document group into categories;
A keyword extraction step of extracting a plurality of keywords from each of the latest Web documents classified into categories;
An evaluation value calculating step of calculating a first evaluation value and a second evaluation value of the extracted keyword;
Map generation data by extracting n-s items based on the first evaluation value and n items on the basis of the second evaluation value from a plurality of keywords belonging to the category for each category. And a map generation data generation step stored in the storage means as an information display program. Information display executed by a user client terminal that visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step of executing a display control step of arranging the map generation data at a display position determined in advance on the basis of the evaluation value for each category and displaying the map generation data on a display means. Information display executed by a user client terminal that visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step of executing the display control step of arranging the map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displaying the data on a display unit. Information display program. Information display executed by a user client terminal that visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step of executing a display control step of arranging the map generation data in a category unit at a predetermined display position based on the evaluation value and displaying the map generation data on a display means. Information display executed by a user client terminal that visualizes a plurality of keywords extracted from a plurality of Web documents updated or newly published from one or more Web documents published on one or more terminals connected to the network A program,
A map generation data acquisition step of requesting and acquiring map generation data for display from the information providing server;
A display control step of executing the display control step of arranging the map generation data in a category unit at a predetermined display position based on the first evaluation value and the second evaluation value and displaying the data on a display unit. Information display program.   The display is switched between a detailed display that displays n keywords in each category and a representative display that displays m (m is a natural number n> m) from n keywords in each category as a representative keyword representing the category. The information display program according to claim 21 or 23, wherein the step is executed.   Detailed display for displaying n keywords in each category, p keywords selected from the n keywords in each category based on the first first evaluation value, and keywords selected based on the second evaluation value 25. The information display program according to claim 22 or 24, wherein the information display program executes a step of switching the display to a representative display that displays a total of q cases (p, q are natural numbers, m = p + q) as a representative keyword representing a category.   26. The information display program according to claim 21, 23, or 25, wherein a step of performing identification display with character attributes including a character size of a keyword, a color, a font, and an icon display is performed based on the evaluation value. 25. The step of performing identification display with character attributes and icon display including the character size, color, and font of the keyword on the basis of the first evaluation value and the second evaluation value, or 26. The information display program according to 26.

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