JP2004302809A - Automatic information collecting and integrating system and method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an automatic information collecting and integrating system and method capable of quickly collecting information using the Internet and effectively integrating and arranging the information using keywords. <P>SOLUTION: The system includes the Internet 20, a server 10, and a user's terminal 30. The server 10 comprises a website visiting part 12 which periodically visits websites on the Internet 20 according to a keyword set by the user's terminal 30 to collect website information; an information filtering part 13 which filters the website information collected by the website visiting part 12 to obtain only the corresponding website information containing the keyword; a database part 14 for storing the corresponding website information obtained by the information filtering part 13; and an information arranging part 15 for arranging and outputting the corresponding website information stored by the database part 14, in such a way as to construct a time-series tree structure. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to an automatic information collection and aggregation system and an automatic information collection and aggregation method for automatically collecting website information on the Internet based on set keywords and aggregating the website information.
[0002]
[Prior art]
When a Japanese company does business with a company outside of Japan, or a Japanese citizen travels in a country or region outside of Japan, it is often the case that information about the company or the local situation is collected and measures are taken. For this reason, the method of obtaining information and the reliability of the obtained information content become problems.
[0003]
Conventionally, sources of information include publications such as books and pamphlets, and video tapes. However, books and the like take time to be published, and are old as information when the reader obtains the information, and the situation in the local area may have already changed. Further, in the case of a book or the like, the subjectivity of the author may be included, and when making a decision based on the information, a biased decision is often made. In addition, in countries where Japanese citizens are resident or countries where Japanese people frequently come and go, the information is abundant, but in other countries the information itself is small and the information source is limited. In some cases, it was not appropriate as a source of accurate judgment.
[0004]
For this reason, at present, a method of searching for and obtaining information using the Internet is known (for example, see Patent Document 1).
[0005]
[Patent Document 1]
JP 2001-184397 A (page 1-18, FIG. 1-12)
[0006]
[Problems to be solved by the invention]
However, in the above-described conventional information search system using the Internet, there is a problem that even if a keyword is set, it is difficult to narrow down desired information.
[0007]
SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and the problem to be solved by the present invention is to collect information quickly by using the Internet and to narrow down information effectively by using keywords. It is an object of the present invention to provide an automatic information collection / aggregation system and a method therefor that can be aggregated and organized by using the above.
[0008]
[Means for Solving the Problems]
In order to solve the above-mentioned problems, an information automatic collection and aggregation system according to the present invention includes:
Internet, which is a computer network where many computers and electronic terminals are mutually connected and connected by various lines, and can exchange information with each other;
A server which is a computer connected to the Internet;
A user terminal that inputs information to the server with a computer connected to the Internet and receives a result of information processing performed by the server.
An automatic information collection and aggregation system with
The server comprises:
A website circulating unit that periodically traverses the website of the Internet and collects website information based on a keyword set by the user terminal;
Among the website information collected by the website patrol unit, an information filtering unit that obtains only the corresponding website information that is the information including the keyword by sieving,
A database unit that stores the website information acquired by the information filtering unit;
An information organizing unit for organizing and outputting the corresponding website information accumulated by the database unit into a time-series tree structure;
Having prepared
It is characterized by.
[0009]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
A summary creation unit for summarizing the contents of the website information arranged in the time-series tree structure into an outline short sentence that is a sentence having a predetermined number of characters or less;
A tree image generating unit that generates image information in which the frame-shaped figure including the outline short sentence is combined in the time-series tree shape;
Having
It is characterized by.
[0010]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
The preceding information, which is the preceding information in the time series, is selected and displayed from the corresponding website information accumulated by the database unit.
[0011]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
The selection of the preceding information is performed at least once a day, and the selected preceding information is updated in the information storage unit each time.
[0012]
In the above information automatic collection and aggregation system, preferably,
The keyword is an accident in Japan or a country or region outside Japan.
[0013]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
While storing a table of specific character data previously input and a certainty level corresponding to the specific character data,
For the corresponding website information including the specific character data among the corresponding website information accumulated by the database unit, a character or a symbol indicating the certainty level is displayed near or inside the frame-shaped graphic.
[0014]
In the above information automatic collection and aggregation system, preferably, the preceding information is provided with the highest certainty level and the highest certainty level.
[0015]
In the above information automatic collection and aggregation system, preferably,
The specific character data is character data indicating the name of Japan, or an administrative organization of a country or region outside Japan, or a regulatory agency,
The certainty level corresponding to the specific character data is set to a level lower than the value of the preceding information.
[0016]
In the above information automatic collection and aggregation system, preferably,
The specific character data is character data indicating the name of a representative news organization in Japan or a country or region outside Japan,
The certainty level corresponding to the specific character data is set to a level lower than the value of the corresponding website information including the character data indicating the name of the administrative organization or the supervisory agency.
[0017]
In the above information automatic collection and aggregation system, preferably, the website information periodically collected by the website patrol unit is overseas security information that is information relating to safety in a country or region outside Japan.
[0018]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
Based on the preceding information of the overseas security information accumulated by the database unit, count the number of incidents with a low degree of security, and determine the degree of security of the country or region outside Japan according to the count value. Calculate and output.
[0019]
In the above information automatic collection and aggregation system, preferably,
The information organizing unit includes:
The calculation and output of the degree of security of the country or region outside of Japan are executed at least once daily, and the calculated and output degree of safety of the country or region outside of Japan is updated and stored in the information storage unit each time.
[0020]
Further, the information automatic collection and aggregation method according to the present invention,
Internet, which is a computer network where many computers and electronic terminals are mutually connected and connected by various lines, and can exchange information with each other;
A server which is a computer connected to the Internet;
A user terminal that inputs information to the server with a computer connected to the Internet and receives a result of information processing performed by the server.
An automatic information collection and aggregation method using
The server comprises:
A website patrol unit, based on a keyword set by the user terminal, periodically visits the Internet website to collect website information,
By the information filtering unit, among the website information collected by the website patrol unit, only the corresponding website information that is information including the keyword is sifted,
The database unit stores the relevant website information acquired by the information filtering unit,
The information organizing unit arranges and outputs the corresponding website information accumulated by the database unit into a time-series tree structure.
It is characterized by.
[0021]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, an embodiment of an automatic information collection and aggregation system using a mobile communication network according to the present invention will be described in detail with reference to the drawings.
[0022]
FIG. 1 is a diagram showing an overall configuration of an information automatic collection and aggregation system according to an embodiment of the present invention. FIG. 2 is a diagram showing a hardware configuration of a server in the automatic information collection and aggregation system according to one embodiment of the present invention.
[0023]
As shown in FIG. 1, the automatic information collection and aggregation system 100 includes a server 10, an Internet 20, and a user terminal 30. Here, the Internet 20 is a worldwide computer network in which a large number of computers and electronic terminals are mutually connected and connected by various lines, and information can be mutually exchanged. The server 10 is a computer connected to the Internet 20 via a line, and serves as a main body for collecting information, collecting information, organizing information, and the like described below. The user terminal is a computer connected to the Internet 20 via a line, inputs a keyword or the like to the server 10, and receives a result of the server 10 performing information collection, information aggregation, information arrangement, and the like. That is, the user terminal 30 is connected to the server 10 via the Internet 20.
[0024]
FIG. 2 shows a hardware configuration of the server 10. That is, the server 10 is a computer in terms of hardware, and includes the CPU 41, the ROM 42, the RAM 43, and the input / output interface unit 11.
[0025]
Among these components, a CPU (Central Processing Unit) 41 has an internal bus (not shown) which is a signal line for transmitting and receiving a current (signal) inside the CPU 41. An arithmetic unit (not shown), a register (not shown), a clock generation unit (not shown), an instruction processing unit (not shown), and the like are connected to the internal bus.
[0026]
The arithmetic unit in the CPU 41 performs four arithmetic operations (addition, subtraction, multiplication, and division) on various data stored in the register, or performs a logical operation (logical product, logical sum, negation, exclusive logical sum). And the like, or perform processing such as data comparison or data shift. The result of the processing is stored in a register or the like. The clock generator generates a clock signal (clock signal) for synchronizing the time of each part of the CPU 41. The CPU 41 operates based on this clock signal. The instruction processing unit controls and processes an instruction to be executed by the operation unit and the like, decodes the instruction, executes the instruction, and the like. Further, the CPU 41 detects the transmitted data or the result of the calculation and the time based on the clock signal in real time, and temporarily stores the data in the RAM 43 or the like.
[0027]
A ROM (Read Only Memory) 42 stores a control program for controlling the CPU 41, various data used by the CPU, and the like. As the ROM 42, one constituted by a semiconductor chip, a hard disk device or the like is used. The control program of the CPU 41 includes, in addition to the basic software of the CPU 41 such as an OS (Operating System), a processing procedure such as an instruction for causing the CPU 41 to execute various processes and analytical calculations.
[0028]
A RAM (Random Access Memory: random access memory) 43 temporarily stores data and the like calculated by the CPU 41. The RAM 43 is composed of, for example, a semiconductor chip or the like.
[0029]
A digital electric signal generated by the CPU 41 or a digital electric signal input to the CPU 41 is transmitted / received to / from the outside via the input / output interface unit 11. In the input / output interface unit 11, an A / D converter, a D / A converter, and the like (not shown), which are a conversion system between a digital signal and an analog signal, are provided.
[0030]
The user terminal 30 includes the input / output interface unit 31 described above, a user terminal control unit 32 connected to the interface unit 31, an image display unit 33, and an input unit. The hardware configuration of the user terminal 30 is basically the same as the configuration of the server 10 shown in FIG. That is, the user terminal 30 is a computer in terms of hardware. Further, the user terminal control unit 32 includes a CPU (not shown) similar to the CPU 41, a ROM (not shown) similar to the ROM 42, and a RAM (not shown) similar to the RAM 43. .
[0031]
The operation and data input of the user terminal 30 are performed by an input unit 34 such as a keyboard and a mouse. The input commands and data are transmitted to the CPU (FIG. (Not shown). The result calculated by a CPU (not shown) in the user terminal is sent to an image display unit 33 composed of a cathode ray tube, a liquid crystal display, or the like via an input / output interface unit 31, and is displayed as an image, characters, and numbers. Will be displayed. In addition, the result calculated by the CPU (not shown) in the user terminal can be output via the input / output interface unit 31 and further printed on paper by a printer (not shown). ing.
[0032]
Next, a software configuration of the server 10 will be described with reference to FIG. That is, as shown in FIG. 1, the server 10 includes the input / output interface unit 11 described above, a website circulating unit 12 connected to the interface unit 11, an information filtering unit 13, a database unit 14, and an information organizing unit. 15 are provided. The website circulating unit 12, the information filtering unit 13, the database unit 14, and the information organizing unit 15 are realized by a software program executed by the CPU 41 in cooperation with the ROM 42 and the RAM 43.
[0033]
Next, the operation of the information automatic collection and aggregation system 100 of this embodiment will be described.
[0034]
The website patrol unit 12 of the server 10 periodically visits websites on the Internet 20 to collect website information. Software that implements such a website patrol unit 12 is called an Internet patrol engine or the like. The software that implements the website patrol unit 12 is stored in the ROM 42 or the like of the server 10 and is executed by the CPU 41. The stored data is stored in the RAM 43 or the like. The RAM 43 corresponds to an information storage unit in the claims.
[0035]
The website circulating unit 12 stores URLs, which are addresses for specifying a large number of websites (homepages) existing on the Internet 20, as data in a memory (such as the RAM 43), and when a new URL is acquired, (RAM 43, etc.). The website patrol unit 12 activates Internet browsing software every time a predetermined time elapses. The passage of time is measured by the CPU 41 executing timing software stored in the ROM 42 or the like based on the clock signal of the CPU 41. The Internet browsing software is software for browsing the Internet, and corresponds to, for example, a so-called “Internet Explorer (registered trademark)”.
[0036]
After activating the Internet browsing software, the website circulating unit 12 calls each website existing on the Internet 20 based on the stored URL, and collects content information as its contents. The collected content information includes character data displayed on the website.
[0037]
Here, a keyword for specifying information to be collected is input and set by the input unit 34 of the user terminal 30. This keyword is sent to the server 10 via the Internet 20. In this case, the CPU 41 of the server 10 activates the above-described website circulating unit 12 based on the input keyword, periodically traverses the website of the Internet 20 in the same manner as described above, and executes content information (for example, text Data).
[0038]
Next, the information filtering unit 13 sifts only information including a set keyword (hereinafter, referred to as “applicable website information”) from the content information (for example, character data) collected by the website circulating unit 12. In other words, this website information is acquired. Software that implements the information filtering unit 13 is stored in the ROM 42 or the like of the server 10 and is executed by the CPU 41. The stored data is stored in the RAM 43 or the like.
[0039]
Such software serving as the backbone of the information filtering unit 13 is called an Internet search engine or the like. The Internet search engine is software for displaying, on the Internet, a website which is determined to be most suitable for the purpose of the keyword among websites having character data including a keyword at a higher position (a portion near the beginning) and displays the screen. For example, so-called “Google (registered trademark)” corresponds to this.
[0040]
In Internet search engine programs, the most suitable logic is based on the logic that "the website that is most cited by other websites with the set keyword is the most suitable website for the keyword". The displayed website is placed at the top of the screen and displayed, and the next suitable website is placed and displayed at the second position on the screen, and so on. Such a logic is more reliable and more relevant to the purpose of the keyword than an Internet search engine with mechanical logic that simply considers a website with many keywords as the top website. There is an advantage that it can be selected.
[0041]
The information filtering unit 13 performs the following logic on the Internet search engine: "The website that is most frequently cited from another website with the set keyword is the most suitable website for the keyword." Before the screen is displayed on the screen, the most suitable website is selected, and the program up to the stage of selecting the next suitable website is provided. As a result, the information filtering unit 13 acquires only website information from the selected website as the corresponding website information in the selected order, that is, the most probable order, and acquires information that does not include a keyword. do not do. Thereby, “sieving” of the content information (for example, character data) of the website is performed.
[0042]
Next, the corresponding website information acquired by the information filtering unit 13 is sent to the database unit 14 and accumulated. Software for realizing the database unit 14 is stored in the ROM 42 or the like of the server 10 and is executed by the CPU 41. The stored data is stored in the RAM 43 or the like. A database is a system in which a large amount of information is stored together with its address, and by specifying an address, the information content can be uniquely accessed.
[0043]
Thereafter, the corresponding website information accumulated by the database unit 14 is arranged and output by the information organizing unit 15 in a time-series and tree structure. Here, the time series is a data sequence in accordance with the order of time, in which data older in time is arranged first, and data new in time is arranged later. The tree structure refers to a structure in which data is arranged and arranged in a tree-like manner for each related group. Basic data in a group is arranged in a portion corresponding to a trunk and becomes an incidental matter in the group. Data is arranged in a portion corresponding to a branch and a leaf. Software that implements the information organizing unit 15 is stored in the ROM 42 or the like of the server 10, and is executed by the CPU 41. The data that has been arranged and output is stored in the RAM 43 or the like.
[0044]
Next, a more detailed configuration of the information organizing unit 15 will be described. FIG. 3 is a diagram illustrating a detailed software configuration of the information organizing unit in the automatic information collection and aggregation system 100 according to the embodiment of the present invention.
[0045]
As shown in FIG. 3, the information organizing unit 15 includes a summary generating unit 16 and a tree image generating unit 17 in terms of software.
[0046]
Among these, the summary generation unit 16 summarizes the contents of the character data of the corresponding website information arranged in a time-series tree structure into a short summary, which is a sentence having a predetermined number of characters or less, and outputs the summary. Software for realizing the summary generation unit 16 is stored in the ROM 42 or the like of the server 10, and is executed by the CPU 41. The stored data is stored in the RAM 43 or the like.
[0047]
Next, the operation of the tree image generation unit 17 will be described based on the screen displayed by the output of the tree image generation unit 17 (see FIG. 4). That is, the tree image generation unit 17 uses the short outlines output by the summary generation unit 16 and, as shown in FIG. 4, obtains image information obtained by combining the frame-shaped figures A1 to A10 including the outline short sentences in a time-series tree shape. Is generated and output. Software for implementing the tree image generation unit 17 is stored in the ROM 42 or the like of the server 10, and is executed by the CPU 41. The stored data is stored in the RAM 43 or the like.
[0048]
This image information is received by the user terminal 30 from the server 10 via the Internet 20, and the tree image of FIG. 4 is displayed on the screen of the image display unit 33 of the user terminal 30. In the tree image of FIG. 4, frame-shaped figures A1 and the like including the short outline are arranged in a tree shape and arranged in such a manner that the older one in the group is located on the left side, and the shorter one is in the group. The new one is located on the right. The branching of the tree indicates a difference in the content of the summary short sentence (a difference between groups).
[0049]
In the tree image of FIG. 4, for example, the frame-shaped figure A1 is the information that is the earliest in time (old) (hereinafter referred to as “preceding information”) within the time-series data range that this image means. It indicates that there is. This presumes that the preceding information is the most basic information (original information) among the information A1 to A10. Therefore, the information organizing unit 15 outputs this A1 as preceding information, and stores the character data of the outline short sentence, which is the content of A1, in the RAM 43 or the like.
[0050]
In this way, the user of the user terminal 30 can view the tree image as shown in FIG. 4 on the screen of the image display unit 33 by setting and inputting the keyword, and it is estimated that the tree image is the most original information. Leading information A1 can be obtained.
[0051]
As described above, the information automatic collection / aggregation system 100 automatically performs information collection / aggregation, for example, every day based on the set keyword, and once a day, as a result, (for example, the tree described above) An image and preceding information are detected and output, and updated and stored in an information storage unit such as the RAM 43. Therefore, when the user of the user terminal 30 sets a keyword, the latest result is displayed on the image display unit 33. Therefore, the user of the user terminal 30 is updated daily. The result of can be grasped. Note that the information collection / aggregation and the result update / storage performed by the information organizing unit 15 may be configured to be performed twice or more every day, or may be configured to be performed at least once every day.
[0052]
Hereinafter, a specific example of the information collection / aggregation that can be performed by the information automatic collection / aggregation system 100 will be described.
[0053]
In the first specific example, the keyword used when the information filtering unit 13 screens the corresponding website information among the content information (for example, character data) collected by the website circulating unit 12 is “Japan domestic” and “railway”. Accident ”.
[0054]
In this case, the information organizing unit 15 includes a plurality of tables that are previously input and stored in the ROM 42. From these tables, the information organizing unit 15 selects a certain corresponding table when the keyword is “Japan” and “railroad accident”. In the selected table, the certainty level “AA” corresponds to the character data “Ministry of Land, Infrastructure, Transport and Tourism” that is the regulatory agency for “railroad accidents” in “Japan”, and “XX newspaper” The certainty level “A” corresponds to each of the character data “@TV company”. In this case, "XX newspaper company" and "@TV company" preliminarily select and enter the news organizations representing Japan (one or several for each media).
[0055]
Then, the information organizing unit 15 determines, from among the corresponding website information accumulated by the database unit 14, the corresponding website information including the character data of “Ministry of Land, Infrastructure, Transport and Tourism”, a frame-like graphic (A1 to A1 in FIG. 4). A control is performed so that a character or a symbol indicating the certainty level “AA” is displayed in the vicinity or inside (for example, outside the right shoulder of the frame-shaped figure in FIG. 4) around A10). For example, on the screen, it is displayed as frame-shaped figures A3 and A4 in FIG. The certainty level “AA” indicates that the certainty is the second highest, that is, the reliability is the second highest. The level with the highest certainty (reliability) will be described later.
[0056]
Similarly, the information arranging unit 15 determines, from among the corresponding website information accumulated by the database unit 14, the corresponding website information including the character data of “XX newspaper company” or “@TV company”. A control is performed so that a character or a symbol indicating the certainty level “A” is displayed near or inside the frame-shaped figure (A1 to A10 in FIG. 4) (for example, outside the right shoulder of the frame-shaped figure in FIG. 4). . For example, on the screen, it is displayed as a frame-shaped figure A10 in FIG. The certainty level “A” indicates that the certainty is next to “AA”, that is, the third highest reliability.
[0057]
In this case, the oldest information, that is, the preceding information that is presumed to be the most original information, is extracted from the frame-shaped graphic A1 or the like to which the certainty level “AA” or “A” is added. For example, it is assumed that the preceding information is a frame-shaped graphic A1. In this case, the information organizing unit 15 places a character indicating the certainty level “AAA” near or inside the extracted frame-shaped figure (A1 in FIG. 4) (for example, outside the right shoulder of the frame-shaped figure in FIG. 4). Or, control is performed to display a symbol. For example, on the screen, it is displayed as a frame-shaped figure A1 in FIG. The certainty level “AAA” indicates that the certainty is the highest, that is, the reliability is the highest.
[0058]
Applying the above example, when the keyword is “in Japan” and “food poisoning”, the information organizing unit 15 determines that the certainty level of the website information including the character data of the regulatory agency “Ministry of Health, Labor and Welfare” is “ For AA, select a table with a certainty level of "A" for the relevant website information that includes character data of the representative domestic news media "XX Newspaper" or "@TV Company". May be configured. In this case, the certainty level “AA” indicates that the certainty is the second highest, and the certainty level “A” indicates that the certainty is the third highest.
[0059]
When the keyword is “Japan” and “nuclear power plant accident”, the certainty level of the relevant website information including the character data of the regulatory agency “METI” is “AA”. , For the relevant website information including the character data of the representative domestic news media “XX Newspaper” or “@TV Company”, select the table whose certainty level is “A”. You may. In this case, the certainty level “AA” indicates that the certainty is the second highest, and the certainty level “A” indicates that the certainty is the third highest.
[0060]
When the keyword is “country or region outside of Japan” and “railroad accident”, the information organizing unit 15 determines, for example, “DOT (U.S. Department of Transportation)” or “NTSB (U.S. Commission)), etc., the certainty level of the relevant website information, including the character data of the transport and railway-related regulatory agencies (administrative agencies) in each country, is "AA", and the representative news organizations in the world "... Newspaper" For the corresponding website information including the character data of “company” or “... TV company”, a table whose certainty level is “A” may be selected. In this case, the certainty level “AA” indicates that the certainty is the second highest, and the certainty level “A” indicates that the certainty is the third highest.
[0061]
Then, of the frame-shaped graphic A1 or the like to which the certainty level “AA” or “A” is added, the oldest information, that is, the preceding information that is presumed to be the most original information is extracted. For example, it is assumed that the preceding information is a frame-shaped graphic An. In this case, the information organizing unit 15 controls so that a character or a symbol indicating the certainty level “AAA” is displayed near or inside the extracted frame-shaped figure An (for example, outside the right shoulder of the frame-shaped figure). I do. This certainty level “AAA” indicates that the certainty is the highest, that is, the reliability is the highest.
[0062]
In addition, by applying the above example, generally, the following information collection / aggregation may be performed. In this case, the information filtering unit 13 sets “X” as a keyword for sifting the corresponding website information among the content information (for example, character data) collected by the website circulating unit 12.
[0063]
In this case, the information organizing unit 15 includes a plurality of tables that are previously input and stored in the ROM 42. From these tables, the information organizing unit 15 selects a certain corresponding table when the keyword is “X”. In the selected table, the certainty level "Zm" is added to the character data of the word "Ym" related to "X" (for example, "... Ministry" which is the name of the domestic or foreign regulatory agency of X). And the certainty level "Zn" corresponding to the character data of the word "Yn" (for example, the name of "... newspaper company" or "... TV company" which is a representative news media in each country) I have. In this case, "... newspaper company", "... TV company", etc., select and input in advance the news organizations (one or several companies for each media) representing each country. Also, in this case, the certainty level “Zm” indicates that the certainty is the mth (m: m> 2), and the certainty level “Zn” indicates that the certainty is n (n: m> 2). n is an integer).
[0064]
Then, the information organizing unit 15 stores, in the corresponding website information stored by the database unit 14, the corresponding website information including the character data “Ym” in the vicinity of or inside the frame-shaped figure on the screen. , A character or a symbol indicating the certainty level “Zm” is displayed.
[0065]
Similarly, the information arranging unit 15 determines, for the relevant website information including the character data of “Yn” among the relevant website information accumulated by the database unit 14, in the vicinity of the frame-shaped graphic ( Control is performed so that a character or symbol indicating the certainty level “Zn” is displayed inside.
[0066]
Then, among the frame-shaped figures on the screen to which the certainty levels “Zm”, “Zn” and the like are added, the oldest information, that is, the preceding information that is presumed to be the most original information is extracted. The information organizing unit 15 controls to display a character or a symbol indicating the certainty level “Z1” near or inside the extracted frame-shaped figure (for example, outside the right shoulder of the frame-shaped figure). The certainty level “Z1” indicates that the certainty is the highest, that is, the reliability is the highest.
[0067]
In this way, a correspondence table of specific character data “Y”, for example, Ym, etc. previously input and a certainty level “Z”, for example, Zm, etc. corresponding to the specific character data “Y” is stored, Characters or symbols indicating the certainty level "Z" are displayed near or inside the frame-shaped graphic for the relevant website information that includes the specific character data "Y" among the relevant website information accumulated by the database unit. By doing so, it is possible to clearly show the operator who looks at the time-series tree screen which information has higher certainty.
[0068]
In the above, the media of the news media include newspapers, TV broadcasts, magazines, and radio broadcasts. In addition, as the certainty level, in addition to A, AA, and AAA described above, evaluations such as 1, 2, 3, and the like, logarithmic values such as 1, 10, 100, and 1000, and the like can be given.
[0069]
Next, as a second specific example of the information collection / aggregation that can be performed by the above-described automatic information collection / aggregation system 100, the following is mentioned.
[0070]
In this case, information relating to safety or danger in a country or region outside Japan (hereinafter referred to as “overseas security information”) is set as Internet website information that the website patrol unit 12 periodically collects. This overseas security information includes the number of occurrences of dangerous accidents or dangerous crimes in countries or regions outside Japan (hereinafter, referred to as “the number of dangerous accidents”). By dividing the value of the number of occurrences of dangerous accidents and the like by the period, the occurrence rate of dangerous accidents and the like can be calculated. In the case of a dangerous crime case, the ratio of arrested criminals in the occurred dangerous crime cases can be calculated as the “case resolution rate”. Further, an improvement tendency, an aggravation tendency, and the like can be calculated from a temporal change rate (year-on-year change, month-on-month change, and the like).
[0071]
In this case, the information arranging unit 15 extracts the preceding information from the overseas security information accumulated by the database unit 14. The preceding information means “most probable overseas security information” among many pieces of Internet information. Thereafter, based on the preceding information, the information organizing unit 15 counts, in real time, the number of incidents with a low degree of security (that is, dangerous) for each country or region overseas. Thereafter, the information organizing unit 15 ranks (groups) countries or regions outside Japan from the viewpoint of safety (or danger) according to the count value, and outputs the result (for example, the image of the user terminal 30). A table, a graph, or the like is displayed on the display unit 33).
[0072]
For example, the classification is such that the number of occurrences of dangerous accidents or the like as an index is a rank of N1 to N2 per day. Here, numerical values are set in N1 and N2. The same applies to the occurrence rate of dangerous accidents, the case resolution rate, and the like.
[0073]
Further, the information organizing unit 15 outputs a comprehensive evaluation value by integrating the ranks of the respective indexes into the countries and regions that have entered the rank of each index, and determines the degree of safety or the degree of danger according to the comprehensive evaluation value. The calculation may be performed. For example, as an overall evaluation value, a value obtained by multiplying each index value by a weight count and summing the values may be used.
[0074]
Also in the case of the second specific example of the information collection / aggregation of the information automatic collection / aggregation system 100 described above, the information collection / aggregation is automatically performed, for example, every day based on the set keywords, and once every day. As a result, (for example, the number of occurrences of the dangerous accidents described above, the incidence rate, the case resolution rate, the time change rate, the overall evaluation value, and the like) are detected and output, and updated and stored in the information storage unit such as the RAM 43. Therefore, when the user of the user terminal 30 sets a keyword, the latest result is displayed on the image display unit 33. Therefore, the user of the user terminal 30 is updated daily. The result of can be grasped. Note that the information collection / aggregation and the result update / storage performed by the information organizing unit 15 may be configured to be performed twice or more every day, or may be configured to be performed at least once every day.
[0075]
As described above, according to the automatic information collection and aggregation system of the present embodiment, information can be collected quickly (in real time) using the Internet, and information can be effectively narrowed down and aggregated using keywords. , Updated and stored, the user has the advantage of being able to grasp the precedent information and the like presumed to be the original information at least once a day.
[0076]
Note that the present invention is not limited to the above embodiments. Each of the above embodiments is an example, and has substantially the same configuration as the technical idea described in the scope of the claims of the present invention, and any device having the same operation and effect can be obtained. It is included in the technical scope of the present invention.
[0077]
For example, although not shown, the summary generation unit 16 incorporates translation software for translating a foreign language such as English into Japanese, and creates a short summary sentence in Japanese from character data of overseas content information. May be configured. With this configuration, it is possible to collect, in real time, original information of information useful for Japanese people from overseas Internet website information.
[0078]
【The invention's effect】
As described above, according to the present invention, a large number of computers and electronic terminals are connected to each other by various lines and are connected to the Internet, which is a computer network capable of exchanging information with each other. An automatic information collection and aggregation system including a server that is a computer and a user terminal that inputs data to the server with a computer connected to the Internet and receives an information processing result performed by the server, wherein the server is set by the user terminal. Website circulating unit that periodically traverses the Internet website based on the keywords that have been collected to collect website information, and the corresponding website information that is information that includes the keyword among the website information collected by the website circulating unit Information file to obtain only And a database section for storing the corresponding website information acquired by the information filtering section, and an information organizing section for organizing and outputting the corresponding website information accumulated by the database section into a time-series tree structure. The information collection / aggregation is automatically and periodically executed based on the set keywords, and the result is detected and output each time, and updated and stored. This has the advantage that when the user of the user terminal sets a keyword, the latest information aggregation / arrangement result can be displayed on the user terminal side.
[Brief description of the drawings]
FIG. 1 is a diagram illustrating an overall configuration of an information automatic collection and aggregation system according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a hardware configuration of a server in the automatic information collection and aggregation system according to an embodiment of the present invention.
FIG. 3 is a diagram illustrating a detailed software configuration of an information organizing unit in the automatic information collection and aggregation system according to the embodiment of the present invention.
FIG. 4 is a diagram showing a screen display example of an information processing result in the automatic information collection and aggregation system according to one embodiment of the present invention.
[Explanation of symbols]
10 Server
11 I / O interface
12 Website patrol department
13 Information filtering part
14 Database section
15 Information Organizing Department
16 Summary generation
17 Tree image generation
20 Internet
30 user terminals
31 I / O interface
32 User terminal control unit
33 Image display
34 Input section
41 CPU
42 ROM
43 RAM
100 Automatic information collection and aggregation system
A1 to A10 summary information

Claims (13)

Internet, which is a computer network where many computers and electronic terminals are mutually connected and connected by various lines, and can exchange information with each other;
A server which is a computer connected to the Internet;
An information automatic collection and aggregation system including a user terminal that receives an information processing result performed by the server while performing input to the server with a computer connected to the Internet,
The server comprises:
A website circulating unit that periodically traverses the website of the Internet and collects website information based on a keyword set by the user terminal;
Among the website information collected by the website patrol unit, an information filtering unit that obtains only the corresponding website information that is the website information including the keyword by sieving,
A database unit that stores the website information acquired by the information filtering unit;
An automatic information collection / aggregation system comprising: an information organizing unit for organizing and outputting pertinent website information accumulated by the database unit into a time-series tree structure. The information automatic collection and aggregation system according to claim 1,
The information organizing unit includes:
A summary creation unit for summarizing the contents of the website information arranged in the time-series tree structure into an outline short sentence that is a sentence having a predetermined number of characters or less;
An automatic information collection / aggregation system, comprising: a tree image generation unit configured to generate image information in which a frame-shaped figure including the outline short sentence therein is combined in the time-series tree shape. The information automatic collection and aggregation system according to claim 1,
The information organizing unit includes:
An automatic information collection / aggregation system characterized by selecting and displaying preceding information, which is the preceding information in the time series, from the corresponding website information accumulated by the database unit. The information automatic collection and aggregation system according to claim 3,
The information organizing unit includes:
An automatic information collection and aggregation system, wherein the selection of the preceding information is performed at least once a day, and the selected preceding information is updated and stored in an information storage unit each time. The information automatic collection and aggregation system according to claim 3,
The information automatic collection and aggregation system, wherein the keyword is an accident in Japan or a country or region outside Japan. The information automatic collection and aggregation system according to claim 5,
The information organizing unit includes:
While storing a table of specific character data previously input and a certainty level corresponding to the specific character data,
Among the website information stored by the database unit, for the website information including the specific character data, a character or a symbol indicating the certainty level is displayed near or inside the frame-shaped graphic. An automatic information collection / aggregation system characterized by: The information automatic collection and aggregation system according to claim 6,
An automatic information collection / aggregation system, wherein a highest certainty level is given to the preceding information. The information automatic collection and aggregation system according to claim 7,
The specific character data is character data indicating the name of Japan, or an administrative organization of a country or region outside Japan, or a regulatory agency,
The automatic information collection and aggregation system according to claim 1, wherein the certainty level corresponding to the specific character data is set to a level lower than the value of the preceding information. The information automatic collection and aggregation system according to claim 8,
The specific character data is character data indicating the name of a representative news organization in Japan or a country or region outside Japan,
The information collection / aggregation / aggregation method, wherein the certainty level corresponding to the specific character data is set to a level lower than a value of corresponding website information including character data indicating the name of the administrative agency or the supervisory agency. system. The information automatic collection and aggregation system according to claim 3,
An automatic information collection / aggregation system, wherein the website information periodically collected by the website patrol unit is overseas security information which is information relating to safety in a country or region outside Japan. The information automatic collection and aggregation system according to claim 10,
The information organizing unit includes:
Based on the preceding information of the overseas security information accumulated by the database unit, count the number of incidents with a low degree of security, and determine the degree of security of the country or region outside Japan according to the count value. Automatic information collection and aggregation system characterized by calculating and outputting. The information automatic collection and aggregation system according to claim 11,
The information organizing unit includes:
Calculating and outputting the safety level of the country or region outside of Japan at least once daily, and updating and storing the calculated and output safety level of the country or region outside of Japan in the information storage unit each time. A feature of automatic information collection and aggregation system. Internet, which is a computer network where many computers and electronic terminals are mutually connected and connected by various lines, and can exchange information with each other;
A server which is a computer connected to the Internet;
An information automatic collection and aggregation method performed using a user terminal that receives an information processing result performed by the server while performing input to the server with a computer connected to the Internet,
The server comprises:
A website patrol unit, based on a keyword set by the user terminal, periodically visits the Internet website to collect website information,
By the information filtering unit, among the website information collected by the website patrol unit, only the corresponding website information that is information including the keyword is sifted,
The database unit stores the relevant website information acquired by the information filtering unit,
An automatic information collection / aggregation method, wherein the information organizing unit arranges and outputs pertinent website information accumulated by the database unit into a time-series tree structure.

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