JPH10162011A - Information retrieval method, information retrieval system, information retrieval terminal equipment, and information retrieval device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To supply necessary network information in a computer system connected to a network to user. SOLUTION: An individual reference destination information data base generation part 4b stores access recording to the computer system in an individual access recording information data base 5d and stores the address of network information which is frequently accessed by referring to the recording in an individual reference destination information data base 5c. An individual information selection part 4a analyzes network information stored in the data base 5c, generates an individual word significance information data base 5a, refers to the information field information data base 5b, and selects and supplies network information fitted to a user.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for dividing information (network information) in a large number of computer systems (servers) connected to a large-scale network such as the Internet into contents suitable for each individual user and suitable amounts. TECHNICAL FIELD The present invention relates to an information search method, an information search system, an information search terminal device, and an information search device for providing a user with the information search device.

[0002]

2. Description of the Related Art In order to provide necessary network information to each user from among information (network information) in a large number of computer systems (servers) connected to a large-scale network such as the Internet, 2. Description of the Related Art An information search system for performing information filtering, which provides a user with a content and a suitable amount of information suitable for a user without actively searching for network information, has been developed in recent years. The network information includes at least one information such as text information, image information, and audio information. On the Internet, a user's home page is created using these pieces of information.

[0003] In an information search system, network information in each computer system is collected, and the collected network information is stored in a search database managed by the information search system. When a search keyword for information search is input by a user, network information stored in a search database is searched by an information search device (search server) at the time of keyword input based on the input keyword. The system provides the user with the necessary network information.

[0004] In another information retrieval system, the information retrieval system does not collect network information.
Each user registers necessary network information in a search database. When a search keyword is input, as described above, network information stored in the search database is searched by the information search device based on the input keyword, and the information search system provides the user with necessary information. Is done.

[0005] Therefore, the network information in each computer system is not always searched by the information search device every time the search keyword is input by the user. Because many computer systems are connected to the large-scale network, it takes a long time to search all network information in each computer system.

[0006] Searching for network information is performed using various search tools. For example, when searching for network information using a program called a search engine in the WWW (World Wide Web) such as Yahoo! or Lycos, The user performs the following operation.

[0007] In Yahoo !, the network information stored in the search database by the registration of each user has a hierarchical structure. Therefore, the user selects a predetermined item from the categorized items displayed on the Yahoo! homepage. As a result, a sub category related to the selected category is displayed, and the user selects a predetermined sub category. By repeatedly performing such interactive selection, headings of individual network information are finally displayed several levels down.

In Yahoo !, network information is automatically searched by inputting a search keyword (search character string). In a basic search, if a search keyword is input and a search button is pressed, a search result is displayed on a screen. If you are not satisfied with the search results, change the search method by pressing the option button. That is, in the option selection, (1) the search range is the subject, and the URL (Unifor
m Resource Locator, an identifier for identifying a page in the WWW), designation limited to any of text,
(2) Keyword case-sensitive specification,
(3) designation to select whether a keyword is a whole match or a partial match; (4) a case where all keywords are included or at least one when a plurality of keywords are input.
It is possible to specify whether it is sufficient to include one keyword (notation by Boolean logic), and (5) to specify whether to limit the number of search results or search all.
A search is performed by combining these specifications as appropriate.

[0009] Lycos automatically collects network information using a program called by a name such as a spider, worm, or robot, and stores it in a search database. Searching for network information is performed by the same operation as Yahoo! described above by inputting a search keyword.

As described above, in order to provide the user with the contents and the appropriate amount of network information suitable for each individual user, each user inputs in advance keywords and the like relating to the necessary network information, and the input is performed. The information search system determines what network information each user needs based on the keyword, and provides the user with the necessary network information based on the determination.

[0011]

However, when searching for network information using an information search device, there is a problem that it takes time to search in the above-mentioned interactive format. Also, in the automatic search by inputting a search keyword, since necessary network information is different for each user, it is necessary to perform an initial setting such as selecting an appropriate search tool and inputting an appropriate search keyword for each user. Particularly, it is not easy to input an appropriate search keyword, so that there is a problem that a heavy burden is imposed on the user.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and an object of the present invention is to provide network information in a computer system (server) connected to a large-scale network without actively setting a keyword or the like by a user. Refers to and analyzes the access record information when a user accesses the network, determines what network information the user needs in the computer system connected to the large-scale network, and based on this determination, It is an object of the present invention to provide an information search method, an information search system, an information search terminal device, and an information search device for providing a user with network information.

[0013]

In order to solve the above-mentioned problems, an information retrieval system according to the present invention stores a network, a plurality of computer systems connected to the network, and network information in each computer system. Means for storing network information, and means for storing access record information when accessing network information in a computer system by specifying an address;
Reference information storage means for storing the subject of frequently accessed network information based on the access record information, means for storing the information field of the network information and words belonging thereto in association with each other, and storage in the reference information storage means Words of high importance are extracted from the title of the network information being determined, the information field of the network information to which the extracted words of high importance belong is determined, and stored in the network information storage means based on the determined information field. And a means for selecting predetermined network information from the selected network information and a means for providing the selected network information.

Further, according to the information search method of the present invention, network information in a plurality of computer systems connected to a network is stored, and access record information when the network information in the computer system is accessed by specifying an address is stored. Is stored, the addresses of the network information frequently accessed based on the access record information and the titles thereof are stored, the information fields of the network information and the words belonging thereto are stored in association with each other, and the titles of the stored network information are stored. From the network information to which the extracted word of high importance belongs, and determines predetermined network information from the stored network information based on the determined information field. And providing the selected network information.

Further, the information retrieval terminal device of the present invention stores access record information when accessing network information in a plurality of computer systems connected to a network by designating an address; Means for storing the titles of frequently accessed network information based on the recorded information; means for storing the information fields of the network information and the words belonging thereto in association with each other; words having higher importance from the stored network information titles Is extracted, the information field of the network information to which the extracted word of high importance belongs is determined, predetermined network information is selected from the stored network information based on the determined information field, and the selected network is selected. It is characterized by having means for acquiring information.

Still further, the information retrieval apparatus of the present invention has a network information storage means for storing network information in a plurality of computer systems connected to a network, and accesses network information in a computer system by specifying an address. Words with high importance are extracted from the title of frequently accessed network information in the access record information in the case where the information field with high importance belongs to by referring to the information field previously associated with the word. Is determined, and means for providing predetermined network information selected from network information stored in the network information storage means based on the information field is provided.

[0017]

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

FIG. 1 is a diagram showing a configuration of an information retrieval system according to an embodiment of the present invention. The information search system shown in FIG. 1 includes a workstation (information search terminal device) 1
0, a large-scale network 11, an information search device (search server) 12, a storage device 13, and computer systems (servers) 14 to 17. The workstation 10 includes a display device 1, a communication device 2, an input device 3, a control device 4, an external storage device 5, and a clock device 6.
It is constituted by. A storage device 13 is connected to the information search device 12. The workstation 10
Information retrieval device 12 and computer systems 14 to 17 via a large-scale network 11 such as the Internet
It is connected to the.

The communication device 2 accesses information (network information) in the information search device 12 and the computer systems 14 to 17 connected to the large-scale network 11. The network information includes at least one information such as text information, image information, and audio information.

The control device 4 collects network information in the computer systems 14 to 17 connected to the large-scale network 11 via the communication device 2, stores the collected network information in the external storage device 5, The external storage device 5 stores personal access record information such as the address of network information in the computer system accessed by the user through the scale network 11, the access date and time, and the number of accesses. Further, the control device 4 analyzes the user's personal reference information, the user's personal access record information, and the like, and, based on the analysis result, retrieves network information suitable for the user from the storage device 13 connected to the information search device 12. Is acquired, and the network information is displayed on the display device 1 and provided to the user.

The input device 3 includes a keyboard, a mouse, and the like, and inputs addresses and various instructions of network information in a computer system connected to the large-scale network 11.

The external storage device 5 is constituted by a hard disk or the like, and stores personal word importance information, information field information, personal reference information, and personal access record information.

The display device 1 is composed of a color CRT display, a color liquid crystal display, etc., displays addresses and various instructions of network information input from the input device 3, and displays menus and network information for acquiring various information. Display the search results and so on.

The information search device 12 periodically collects network information in each of the computer systems 14 to 17, and stores the collected network information in a storage device 13 used as a search database. When a search keyword for information search is input from the input device 3 by the user, network information stored in the storage device 13 is searched by the information search device 12 at the time of keyword input based on the input keyword. Displaying the search result on the display device 1 provides the user with necessary network information.

For example, when searching for network information using Yahoo !, a search keyword is input. In a basic search, a search result is displayed on the display device 1 by inputting a search keyword and pressing a search button. If the user is not satisfied with the displayed search result, the search method is changed by pressing an option button. That is, in the option selection, a specification that limits the search range to any of the subject, URL, and text, a specification that distinguishes between uppercase and lowercase of the keyword, a specification that selects whether the keyword is a whole match or a partial match, a plurality of keywords When selecting, specify whether to include all keywords or only at least one keyword (notation by Boolean logic), limit the number of search results, or search all Can be specified, and a search is performed by combining these specifications as appropriate.

The clock device 6 is composed of a crystal oscillator or the like, performs an interrupt process at regular time intervals, and stores the current time in a date / time buffer in a memory (not shown).

FIG. 2 shows the information retrieval device 12 and the storage device 1
FIG. 3 is a diagram showing the configuration of the control device 4 and the external storage device 5.

The information search device 12 includes an information database creation unit 12a and an information database search unit 12b. The storage device 13 has a large-scale network information database 13a.

The control device 4 comprises a personal information selecting section 4a and a personal reference destination information database creating section 4b. The external storage device 5 has a personal word importance information database 5a, an information field information database 5b, an individual reference destination information database 5c, and an individual access record information database 5d.

The information database creator 12a collects network information in the computer system connected to the large-scale network 11, and stores the collected network information in the large-scale network information database 13a. The information database search unit 12b selects network information suitable for the user from among the network information stored in the large-scale network information database 13a.

Personal reference information database creating unit 4b
Causes the user to store in the personal access record information database 5d access record information indicating a record of access to network information in a computer system connected to the large-scale network 11, and the user frequently refers to the access record information. Is stored in the personal reference destination information database 5c with the location address of the network information in the computer system accessing the.

The personal information selecting section 4a analyzes the personal reference destination information database 5c to create the personal word importance information database 5a, and the personal word importance information database 5
a and the information field information database 5b, and selects network information suitable for the user through the information database search unit 12b, and provides the selected network information to the user.

Next, the processing operation of the information retrieval system shown in FIG. 1 will be described with reference to the flowchart in FIG.

The information database creator 12a collects network information in a computer system connected to the large-scale network 11, and stores the address of the collected network information, information title (information heading), and information text (information body). Is created (step A1). FIG. 4 shows an example of the structure of the large-scale network information database 13a. This database creation process is performed every day.

An individual reference destination information database creating unit 4b
Indicates that the user specifies the address of the computer system connected to the large-scale
If you select the network communication button (not shown),
The computer accesses the designated address of the computer system to acquire network information located at the address (step A2), and causes the display device 1 to display the acquired network information. At that time, the large-scale network 11
Is stored in the personal access record information database 5d indicating that the user has acquired the network information in the computer system connected to the personal computer (step A3).

As shown in FIG. 7 and FIG. 8, the personal access record information includes the information ID of the network information, the information title, the address of the information, the last access date and time, the total number of accesses, for example, the number of accesses in the last month. It includes the number of accesses for a certain period indicating the number of times, the file name of a file having text information, the file name of a file having image information, and the file name of a file having audio information.

The personal reference destination information database creating unit 4b stores the personal reference destination information with reference to the personal access record information. By the storage processing of the personal reference destination information, the personal reference destination information database 5c (see FIG. 5) created by associating the information subject frequently accessed by the user with the address is stored in the external storage device 5 such as a local disk. You. Personal reference information database 5
When the information title of one piece of network information stored in c is selected by the selection instruction input from the input device 3, the network information exists in the computer system connected to the large-scale network 11 through the communication device 2. Direct communication is performed with the address to be used, and thereby, the network information can be obtained.

The personal reference destination information database 5c is created in advance by the following two methods. In the first method,
When memorizing addresses that users frequently access,
When actually accessing the address, the user selects a storage button (not shown) of the input device 3, stores the address and the information title in the personal reference destination information database 5c, and creates it. In the second method, the personal access record information (see FIGS. 7 and 8) is periodically referred to and analyzed, and the personal reference information database 5c is updated and created based on the analysis result (step). A3). According to the second method, the address of the network information accessed a predetermined number of times or more within a predetermined period and its information title are automatically registered in the personal reference information database 5c, while they are already registered in the personal reference information database 5c. The address of the network information whose access count is equal to or less than the predetermined number within the predetermined period in the network information and the information title thereof are deleted from the personal reference destination information database 5c.

The personal reference destination information database 5c can be edited, such as deleted, by an editing instruction from the input device 3 by the user. Also, a plurality of highly relevant network information among the network information stored in the personal reference information database 5c is stored together with an item name (middle item) unique to the user, and a plurality of middle items are further stored. The personal reference destination information database 5c can be configured to have a hierarchical structure including a plurality of classified hierarchies, such as storing large items together. FIG. 6 shows an example of the structure of the personal reference destination information database 5c having such a hierarchical structure.

After the above processing, the personal information selecting section 4a performs setting for providing network information suitable for each user according to the flowchart shown in FIG. 12 (step A4). At the time of this setting, an information field information database 5b, which stores information field items created in advance and keyword items related to the information field in association with each other, is used. FIG. 10 shows an example of the structure of the information field information database 5b.

First, it is determined whether or not the personal word importance information database 5a has been updated based on the user's information evaluation described later (step B1). If the personal word importance information database 5a has been updated, network information is selected based on the updated personal word importance information database 5a, and the selected network information is provided to the user (step B2).

If the personal word importance information database 5a is not updated, the personal information selection is simplified, standard version,
Alternatively, the user is caused to select which of the detailed version (step B3).

If the personal information selection is to be a simplified version (step B4), simple personal information selection is performed according to the flowchart shown in FIG. 13 (step B5). That is, the following analysis is performed by referring to the items (large items, medium items) and information titles (information headings) of the hierarchical structure stored in the personal reference information database 5c as shown in FIG. Perform (Step C1).

That is, if the word included in the item or information title is English, words are extracted from the item or information title by separating with a space, and if it is Japanese, the word is extracted by morphological analysis. At the time of word extraction, importance points are assigned to the extracted words according to their locations. For example,
The words included in the large item of the personal reference destination information database 5c are 10 points, the words included in the medium item are 3 points, and the words included in the information item are 3 points. Each time the word appears, the importance point is added to obtain a final importance point for each word, and the importance point corresponding to the word as shown in FIG. 9 is stored in the personal word importance information database 5a. And create it (step C2).

If the personal information selection is to be the standard version (step B6), standard personal information selection is performed according to the flowchart shown in FIG. 14 (step B7). That is, similarly to the processing in steps C1 and C2, analysis is performed with reference to items (large items, medium items) and information titles (information headings) of the hierarchical structure stored in the personal reference destination information database 5c (step D1). After extracting words and assigning importance points to each word, the importance points corresponding to the words are stored in the personal word importance information database 5a and are created (step D2).

Further, the personal reference destination information database 5c
Network 11 located at the address registered in
And accesses and obtains the text of the network information body in the computer system connected to the computer, and performs the following analysis on the text (step D3).

If the words included in the acquired text are English, words are extracted from the text by separating them with spaces, and if Japanese, the words are extracted by morphological analysis. At the time of word extraction, importance points are assigned to the extracted words according to their locations. For example, 10 words are included in the headline of the text, 5 words are included in the middle headline, 3 words are included in the small headline, and 1 word is included in the text. Then, each time the word appears, an importance point is added to obtain a final importance point for each word, and the obtained importance point is added to each word already stored in the personal word importance information database 5a. Is stored in the personal word importance information database 5a and updated (step D4).

If the personal information selection is to be a detailed version (step B8), the detailed personal information selection is performed according to the flowchart shown in FIG. 15 (step B9). That is, similarly to the processing in steps D1 to D4, analysis is performed by referring to the items and information titles of the hierarchical structure stored in the personal reference destination information database 5c (step E1), and words are extracted and important for each word. After assigning the importance points, the importance points corresponding to the words are stored in the personal word importance information database 5a and are created (step E2).

Further, the personal reference information database 5c
Network 11 located at the address registered in
And obtains the text of the network information body in the computer system connected to the computer, and performs the following analysis on the text (step E3).

If the words included in the acquired text are English, words are extracted from the acquired text by separating them with spaces, and if Japanese, the words are extracted by morphological analysis. At the time of word extraction, importance points are assigned to the extracted words according to their locations. For example, 10 words are included in the headline of the text, 5 words are included in the middle headline, 3 words are included in the small headline, and 1 word is included in the text. Then, each time the word appears, an importance point is added to obtain a final importance point for each word, and the obtained importance point is added to each word already stored in the personal word importance information database 5a. Is stored in the personal word importance information database 5a and is updated (step E).
4).

Further, the text of the other network information referred to from the network information body located at the address registered in the personal reference information database 5c is obtained by tracing the reference to a third depth, for example, The following analysis is performed (step E5).

If the words included in the acquired text are English, words are extracted from the text by separating them with spaces, and if Japanese, the words are extracted by morphological analysis. At the time of word extraction, importance points are assigned to words extracted from the text of the network information of the reference destination at each depth according to the location. For example, 10 words are included in the heading of the text of the network information at the first reference depth, 5 words are included in the middle heading, 3 words are included in the subheading, and words in the text are 1 point,
In addition, five words are included in the heading of the text of the network information of the reference destination at the second depth, 2.5 words are included in the middle heading, and 1.5 words are included in the subheading.
Points and words in the text are 0.5 points. Further, 3 words are included in the heading of the text of the network information of the third reference depth, and 1.5 words are included in the middle heading.
Points and words included in subheadings are 1 point, and words in the text are 0.3 points. Then, each time a word appears, an importance point is added to obtain a final importance point for each word, and the obtained importance point is added to each word already stored in the personal word importance information database 5a. Is stored in the personal word importance information database 5a and updated (step E6).

After the personal word importance information database 5a is created according to the selection of personal information of the simplified version, the standard version, or the detailed version, a word having a higher importance point is referred to by referring to the personal word importance information database 5a. Sort in order from. After the sorting, the words are stored in the information field information database 5b (see FIG. 10) in the order of the words having the higher importance points, for example, using the top three words having the higher importance points (AAA, BBB, and CCC in FIG. 9). The searched keyword item is searched (step C3, step D5, step E7).

If a keyword matching the word is stored in the information field information database 5b, the item of the information field to which the keyword belongs is determined to be an information field suitable for the user. For example, if the keyword matching the word is gymnastics, the information field is determined to be sports.
When a match is made in a plurality of information fields, the information field to which the keyword matching the word having the higher importance point belongs is prioritized, and the information field is determined to be an information field suitable for the user.

After the information field is determined, the information database search unit 12b searches the large-scale network information database 13a using a search formula in which a plurality of keywords in the keyword items belonging to the determined information field are connected by OR ( Step C4, Step D6, Step E
8). For example, if the determined information field is sports,
An OR search is performed using keywords such as gymnastics, swimming, soccer, and the Olympics. The network information obtained by this search is periodically provided to the user by e-mail or the like, for example, once a day (Step C5, Step D7, Step E9).

There are two types of network information provided to the user. One containing text-only files and the other containing text, image and audio information
It is a file in GML (Standard Generalized Markup Language) format. When the latter format is selected, the network information is displayed on the display device 1 using SGML document display software (for example, Netscape Navigator sold by Netscape).

The network information displayed on the display device 1 is evaluated by the user according to the flowchart shown in FIG. 16 (step A5). First, it is determined whether there is network information to be provided to the user (step F1). If there is network information to be provided to the user, the network information is displayed on the display device 1 (step F2).

If the provided network information is necessary for the user, the user presses an affirmation button (not shown) on the input device 3. If the network information is unnecessary, the user presses the input device 3. By pressing the NO button, the network information is evaluated (step F3).

When the user presses the affirmation button to evaluate the network information affirmatively, the text of the network information displayed on the display device 3 at that time is analyzed and words are sequentially extracted from the text (step F4). ), Each word is weighted according to its location as described above to assign an importance point, and the personal word importance information database 5a is updated (step F5). For example, 10 words in the headline of the text and 5 words in the highlighted characters
The point and the text are set to one point, and the importance point is added each time each word appears, and the personal word importance information database 5a is updated. Such information evaluation is repeated for all the provided network information.

Thereafter, the words are sorted in descending order of importance with reference to the personal word importance information database 5a which is updated periodically. After the sorting, the keyword items stored in the information field information database 5b are searched in the order of the words having the highest importance points, for example, using the top three words having the highest importance points.

When a keyword that matches a word is stored in the information field information database 5b, the item of the information field to which the keyword belongs is determined to be an information field suitable for the user. If there is a match in multiple fields of information,
The information field to which a keyword matching a word having a high importance point belongs is prioritized, and the information field is determined to be an information field suitable for the user.

After the information field is determined, the information database search unit 12b searches the large-scale network information database 13a using a search formula in which a plurality of keywords in the keyword items belonging to the determined information field are connected by OR. The network information obtained by this search is periodically provided to the user.

Further, for example, once a day, it is checked whether the network information located at the address stored in the personal reference destination information database 5c has been updated. If the network information has been updated, it is notified to that effect. For example, the user is notified by displaying it on the display device 1.

The present invention is not limited to the above embodiment, and various modifications can be made within the scope of the present invention. In the embodiment of the present invention, the processing is performed in one workstation, but in order to reduce the processing load, the processing can be performed in a server-client type. The present invention is applicable to a document search device, an information search device, a network information search device, and the like.

[0065]

As described above in detail, according to the present invention, the setting for providing the user with the necessary network information can be performed on the large-scale network without requiring the user to input a keyword. This can be done by analyzing a personal reference destination information database created when accessing a connected computer system (server). That is, in the initial stage of the user accessing the network information, the user needs to access the necessary network information to the computer system connected to the large-scale network by inputting a keyword or the like. If the network information accessed by the user is fixed to a specific information field at a stage where the network information is frequently accessed, the user can send the network information related to the information field to the user without inputting a keyword or the like. Can be provided. Therefore, it is possible to reduce the burden of the user inputting a keyword every time the network information is accessed.

In addition, as an initial setting for providing a user with necessary network information by using the personal important word information database, simple setting and simple setting performed only with the network information stored in the personal reference destination information database are required. There are three setting methods: standard setting and detailed setting that use not only the basic network information but also the network information in the computer system. Depending on the urgency, either the simplified version, the standard version, or the detailed version can be used. Can be initialized.

Further, not only are the addresses frequently accessed by the user actively stored in the personal reference information database, but also addresses frequently accessed by the user during a predetermined period are automatically stored in the personal reference information. By storing in the database and automatically deleting from the personal reference information database those addresses that were previously accessed less frequently over time, even if they were previously frequently accessed, only those addresses that are frequently accessed are personally referenced. Can be stored in the information database.

[Brief description of the drawings]

FIG. 1 is a diagram showing a schematic configuration of an information search system of the present invention.

FIG. 2 is a diagram showing a configuration of an information search device and a storage device of the system shown in FIG.

FIG. 3 is a diagram showing a configuration of a control device and an external storage device of the system shown in FIG. 1;

FIG. 4 is a diagram showing an example of the structure of a large-scale network information database.

FIG. 5 is a diagram showing an example of the structure of an individual reference destination information database.

FIG. 6 is a diagram showing another example of the structure of the personal reference destination information database.

FIG. 7 is a diagram showing an example of the structure of a personal access record information database.

FIG. 8 is a diagram showing an example of the structure of a personal access record information database.

FIG. 9 is a diagram showing an example of the structure of a personal word importance information database.

FIG. 10 is a diagram showing an example of the structure of an information field information database.

FIG. 11 is a flowchart showing a processing operation of the information search system shown in FIG. 1;

FIG. 12 is a flowchart showing personal information setting.

FIG. 13 is a flowchart showing simple personal information selection.

FIG. 14 is a flowchart showing standard personal information selection.

FIG. 15 is a flowchart showing selection of detailed personal information.

FIG. 16 is a flowchart showing user information evaluation and updating of a personal word importance information database.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 Display device 2 Communication device 3 Input device 4 Control device 4a Personal information selection part 4b Personal reference information database creation part 5a Personal word importance information database 5b Information field information database 5c Personal reference information database 5d Personal access record information database 5 External storage device 6 Clock device 10 Workstation 11 Large-scale network 12 Information search device 12a Information database creation unit 12b Information database search unit 13 Storage device 13a Large-scale network information database 14, 15, 16, 17 Computer system (server)

Claims (11)

[Claims] 1. A network, a plurality of computer systems connected to the network, network information storage means for storing network information in each computer system, and access to network information in the computer system by specifying an address Means for storing the access record information in the case where the information is stored, reference information storage means for storing the title of the network information frequently accessed based on the access record information, and information fields of the network information and words belonging thereto. Means for storing, extracting words of high importance from the title of the network information stored in the reference information storage means, determining the information field of the network information to which the extracted words of high importance belong, and determining the determined information field. Network information storage means based on field An information search system comprising: means for selecting predetermined network information from stored network information; and means for providing the selected network information. 2. A network, a plurality of computer systems connected to the network, network information storage means for storing network information in each computer system, and accessing network information in the computer system by specifying an address. Means for storing the access record information in the case where the information is stored, reference address information storage means for storing the address of the network information frequently accessed based on the access record information and the title thereof, and information fields of the network information and words belonging thereto. Means for associating and storing, extracting words only from the subject of the network information stored in the reference information storage means, extracting words from the subject of the network information and the information body located at the address, or The subject of network information By extracting words from the information body located at the address and the information body of other network information referenced from this information body, and assigning importance points to the extracted words based on the location and number of appearances. A word having a high degree of importance is extracted, an information field of the network information to which the extracted word having a high importance belongs is determined, and a predetermined information field is determined from the network information stored in the network information storage means based on the determined information field. An information retrieval system comprising: means for selecting network information; and means for providing the selected network information. 3. A network, a plurality of computer systems connected to the network, network information storage means for storing network information in each computer system, and accessing network information in the computer system by specifying an address. Means for storing the access record information in the case where the information is stored, reference address information storage means for storing the address of the network information frequently accessed based on the access record information and the title thereof, and information fields of the network information and words belonging thereto. Means for storing in association with each other, extracting words of high importance from the titles of the network information stored in the reference destination information storage means, determining the information field of the network information to which the extracted words of high importance belong, Network information based on the determined information field Means for selecting predetermined network information from the network information stored in the information storage means, means for providing the selected network information, and storage of the address of the network information and its subject by the designation of the user as reference information. Means for storing the address of the network information whose number of accesses is equal to or more than a predetermined number within a predetermined period and the title thereof in the reference information storage means, wherein the number of accesses is predetermined within a predetermined period. An information retrieval system, comprising: means for deleting an address of network information less than the number of times and a title thereof from the reference destination information storage means. 4. A method for storing network information in a plurality of computer systems connected to a network, storing access record information when accessing network information in the computer system by designating an address, and storing the access record information. Stores frequently accessed network information addresses and their titles, stores the information fields of the network information and the words belonging to them, and extracts words with high importance from the stored network information titles Then, the information field of the network information to which the extracted word of high importance belongs is determined, predetermined network information is selected from the stored network information based on the determined information field, and the selected network information is An information retrieval method characterized by providing. 5. A method for storing network information in a plurality of computer systems connected to a network, storing access record information when accessing network information in a computer system by specifying an address, and storing the access record information. Stores the addresses of frequently accessed network information and their titles, stores the information fields of the network information and the words belonging to them in association with each other, and extracts words only from the stored titles of the network information. Extracting a word from the subject of the network information and the information body located at the address, or extracting the word from the subject of the network information, the information body located at the address and the information body of other network information referenced from the information body. And its appearance in the extracted words Words with high importance are extracted by assigning importance points based on the location and the number of appearances, the information field of the network information to which the extracted word with high importance belongs is determined, and based on the determined information field, An information search method characterized by selecting predetermined network information from stored network information and providing the selected network information. 6. A means for storing access record information when accessing network information in a plurality of computer systems connected to a network by designating an address, and accessing frequently based on the stored access record information. Means for storing the title of the network information that has been extracted, means for storing the information field of the network information and the words belonging to the information field, and extracting words of high importance from the stored titles of the network information. Means for determining an information field of network information to which a high word belongs, selecting predetermined network information from stored network information based on the determined information field, and acquiring the selected network information. Characteristic information retrieval terminal device. 7. Network information storage means for storing network information in a plurality of computer systems connected to a network, and an access record information in a case where the network information in the computer system is accessed by specifying an address. Words with high importance are extracted from the subject of frequently accessed network information, and the information field to which the word with high importance belongs is determined by referring to the information field previously associated with the word, and this information is Means for providing predetermined network information selected from network information stored in network information storage means based on the field. 8. The information search system according to claim 1, wherein the network information includes at least one of text information, image information, and audio information. 9. The information search method according to claim 4, wherein the network information includes at least one of text information, image information, and audio information. 10. The information search terminal device according to claim 6, wherein the network information includes at least one of text information, image information, and audio information. 11. The information search device according to claim 7, wherein the network information includes at least one of text information, image information, and audio information.