JP5683037B2 - Business relationship map generation system and program - Google Patents

Description

  The present invention relates to a business relationship map generation system and program, and more particularly to a technology for generating a map that visually represents business relationships between individual companies and outputting them to the outside.

When analyzing the current state of a company, it is extremely important to understand the business relationship between that company and other companies. For example, in order to determine the scope of impact when a company goes bankrupt, not only companies that have direct transactions with the company but also the companies that exist on the other side of each business partner across multiple levels Is required.
Also, when conducting a structural analysis of a specific industrial field, it is beneficial to recognize the business relationship between companies in the industrial field across multiple layers.
In order to express business relationships across multiple hierarchies among a large number of companies, a symbol indicating the existence of each company is placed on a plane, and the companies that are in a business relationship are connected by a diagram (edge). It is desirable from the viewpoint of visibility to use a format map.

The idea of expressing business relationships between companies in a tree format already exists as shown in Patent Document 1.
In this Patent Document 1, metadata is generated based on various databases held by financial institutions, and information on relationships between companies and linkages is extracted from the metadata, and is expressed by a tree-like map. As a result, the fact that the overall image of the business relationship can be visualized is said to be effective.
JP2007-257223A

However, the disclosed contents of Patent Document 1 are extremely abstract, and the output results are illustrated suddenly without disclosing at all how the business relationships between companies are extracted from a plurality of databases. Therefore, there is a question about the feasibility as a specific technology, but it is just a corner of the output map, even if it is the display content of the output map, simply a plurality of company names are connected by lines, It was unsatisfactory as a tool to display business relationships between companies, where the attributes of each company and the specific transaction details between the companies connected by the line were unknown.
In other words, by browsing this map, even if it can be vaguely understood that there is some kind of connection between multiple companies, users can refer to other materials by relying on the company name, attributes of each company and between companies It is necessary to confirm the contents of the transaction individually, and a heavy burden will be imposed.

  In addition, when there are many companies displayed on the map, it is effective to display an overview of the business relationship between companies by displaying the business relationship in the classification unit to which each company belongs. Patent Document 1 did not disclose any such expression format.

  The present invention has been devised to solve such problems of the prior art, and on a map representing a business relationship between a large number of companies in a tree shape, the attributes of each company and between the companies. The first object is to provide a business relationship map that enables the transaction contents to be grasped at the same time. A second object is to provide a business relationship map that can display business relationships in the classification unit to which each company belongs.

In order to achieve the above object, the business relationship map generation system according to claim 1 includes the attribute information such as the company name and location of each company, the customer company of each company, its transaction items, and the purchase of each company. A company information storage means for storing a plurality of business relationship information consisting of a predecessor company and its transaction items in association with a unique company code, a specific industry field, a company related to the industry field, and each company An industry-specific related company information storage means that defines a correspondence relationship with the assigned classification, a map information generation means for generating map information with reference to the company information storage means and the industry-related related company information storage means, A transaction relationship map generation system comprising a map output means for generating a transaction relationship map based on the map information and outputting the map to the outside. When a display condition for designating is entered, the company-related company information storage means is referred to identify the company related to the industry field, and the company information storage means is then referred to to determine the attribute information of each company. And processing for extracting business relationship information, processing for extracting at least necessary attribute information related to a customer company and a supplier company of the company with reference to the company information storage means, and classification information of each company The process of counting the number of companies for each category, the process of counting the number of transactions between companies for each category, the total number of companies for each category, the total number of transactions between categories, and the direction of transactions The map output means executes a process of generating map information including the symbols indicating the existence of each classification, and the number of companies for each classification is displayed in association with each symbol. Also between each classification The existence of transactions is represented by a link line connecting each symbol, the direction of the transaction is indicated by an arrow attached to the end of each link line, and the total value of the number of transactions between the above classifications is It is characterized by generating a business relationship map in which character strings to be represented are arranged in the vicinity of each link line.
The above “output to the outside” means that a screen having a business relationship map is generated and displayed on a display, such a screen is transmitted to another computer via a communication network, or via a printer. This includes printing out, generating an image file and storing it in a storage device, and transmitting the image file to another computer via a communication network (the same applies hereinafter).

The transaction relationship map generation system described in claim 2 is based on the system of claim 1 , and the map information generation means totalizes values relating to specific attributes of each company for each classification, In addition to generating map information including the map information, the map output means generates a transaction relation map in which a total value for each classification related to the specific attribute is displayed in association with the symbol.
Examples of the “specific attributes of each company” include “sales” and “number of employees”.

Transactions map generation system according to claim 3, assume system of claim 2, further said map output unit, the total value of each classification of the symbol indicating the presence of each classification according to the specific attributes A transaction relationship map is generated in which a link line connecting each symbol is displayed with a thickness corresponding to a total value of the number of transactions between the classifications.

The business relationship map generation program according to claim 4 is a computer that uses attribute information such as a company name and location of each company, a customer company of each company and its transaction item, a supplier company of each company and its transaction. Company information storage means for storing a plurality of transaction-related information consisting of items in association with a unique company code, a specific industry field, a company related to the industry field, and a classification given to each company The industry-related related company information storage means defining the corresponding relationship, the above-mentioned company information storage means and the industry-related related company information storage means, map information generating means for generating map information, and transaction relations based on this map information A business relationship map generation program for generating a map and functioning as a map output means for outputting the map to the outside, wherein the map information generation means specifies a specific industrial field. When the display conditions to be entered are input, the companies related to the industry are identified by referring to the industry-related related company information storage means, and then the attribute information and transactions of each company are referred to by referring to the company information storage means. Based on the process of extracting relation information, the process of extracting at least necessary attribute information related to the customer company and supplier company of the company with reference to the company information storage means, and the classification information of each company, Includes the process of aggregating the number of companies for each category, the process of aggregating the number of transactions between companies for each category, the aggregated value for the number of companies for each category, the aggregated value for the number of transactions between categories, and the direction of transactions. A process for generating map information is executed, and the map output means displays symbols indicating the existence of each classification on the plane and displays the number of companies for each classification in association with each symbol. Between classifications The presence of a pull is represented by a link line connecting each symbol, the direction of the transaction is indicated by an arrow attached to the end of each link line, and further represents the aggregate value of the number of transactions between the above categories It is characterized by generating a business relationship map in which character strings are arranged in the vicinity of each link line .

According to business relationships map generation program according to business relationship map generation system and claim 4 and claim 1, the business relationship between companies belonging to a particular industry, aggregated classification units assigned to each company Since the trade relation map thus obtained is obtained, structural analysis of the industrial field can be realized more effectively.

According to the business relationship map generation system described in claim 2 , since the total value of the sales and the number of employees of companies belonging to each classification is represented on the map in each classification unit, the user can change the characteristics of each classification. It becomes possible to grasp easily.

In the case of the business relationship map generation system according to claim 3 , symbols indicating the existence of each classification are displayed in a size corresponding to the sales value of the constituent companies and the total value of the number of employees, and between each symbol. Since the connecting link line is displayed with a thickness corresponding to the total value of the number of transactions between categories, the user can intuitively recognize the characteristics of each category and the number of transactions between categories.

FIG. 1 is a block diagram showing the overall configuration of a business relationship map generation system 10 according to the present invention, which includes a credit check report storage unit 12, a company information generation unit 14, a company information storage unit 16, and industry-related relationships. A company information storage unit 18, a map information generation unit 20, a map information storage unit 22, and a map output unit 24 are provided.
A web server 26 is connected to the system 10 via a communication network. In addition, a plurality of clients 28 composed of a PC or the like equipped with a Web browser program are connected to the Web server 26 via a communication network such as the Internet.

The company information generation unit 14, the map information generation unit 20, and the map output unit 24 are realized by the CPU of the server computer executing predetermined processing according to the OS and a dedicated application program.
The credit check report storage unit 12, the company information storage unit 16, the industry related company information storage unit 18 and the map information storage unit 22 are provided in the hard disk of the computer.

In the credit check report storage unit 12, credit check report data relating to a large number of survey target companies created by a credit check company is accumulated for the past several decades every year.
This credit report data includes basic information of each company (company code, trade name, representative, location, telephone number, company URL, listing category, date of establishment, capital, business description, bank, number of employees, etc. ) In addition to the composition of directors, shareholders, parent / subsidiary relationship, past performance, future performance forecasts, business partners (suppliers and customers), financial statements, etc. Dozens of pages per year.
FIG. 2 shows an image of the credit check report data, and an example of a page related to a business partner (a supplier and a customer) of a certain survey target company is illustrated.

  Each company that appears in this credit report data is based on its own code system, regardless of the size, from the surveyed company to its business partners, customers, and parent / subsidiary companies. A unique company code of digits is given.

The company information storage unit 16 stores a large number of company information extracted from the credit check report data by the company information generation unit 14 in a predetermined file format (for example, CSV format).
FIG. 3 shows an example of this company information. The company name, company code, location, listing category, securities code, industry name, industry code, sales, profit rate, number of employees, supplier / item, Data items such as customer / item, parent company, reporting date, etc. are provided.
The company information shown corresponds to data for one company in a certain year, and the company information storage unit 16 stores data for a plurality of years related to a large number of companies.
Although not shown, when there are a plurality of suppliers, customers, and parent companies, a plurality of corresponding items are provided.

The credit report data is basically text data written in free words and is not structured in advance. Therefore, the company information generation unit 14 assigns a predetermined keyword described in the credit report. A search is performed, and a character string having a certain positional relationship with the keyword is extracted as necessary data.
For example, after the company information generation unit 14 arrives at the page shown in FIG. 2 using “■ main customer” as a keyword, the “cutting tool” placed immediately before the character string of the company name + company code is displayed. The character string is extracted as “customer item” of the company.

As shown in FIG. 4, the industry-related company information storage unit 18 includes a plurality of preset industrial fields such as “electric vehicle-related”, “environment-related”, and “oil-related”. Stored is a record defining a correspondence relationship between the company name and company code of the company related to the industrial field and the classification assigned to each company.
In the figure, there are three categories of companies: “Industry major category”, “Industry middle category”, and “Functional category”, but other category items (for example, “Industry subcategory”) are set. It can also be left.
Incidentally, the “industry major classification” corresponds to a major classification of general industrial classification, and the “industry middle classification” corresponds to the middle classification. “Functional classification” is a classification item that sets the functions (roles) that each company actually performs in the industry, apart from the general industrial classification, and includes “material manufacturer”, “consultation”, “ A classification name such as “trading company” is given by an experienced analyst.

Next, a processing procedure related to generation and display of a business relationship map will be described with reference to the flowchart of FIG.
First, when the client 28 logs into the Web server 26 (S10), a search screen is transmitted from the Web server 26 to the client 28 (S12) and displayed on the Web browser (S14).

As shown in FIG. 6, the search screen 30 is provided with a company name input field 32, a company code input field 34, and an industrial field selection field 36.
Here, when the user inputs “ABC industry” in the company name input field 32 and clicks the search button 38, the search condition “company name = ABC industry” is transmitted to the Web server 26 (S16).

The map information generation unit 20 that has acquired the search condition via the Web server 26 searches the company information storage unit 16 using “ABC Industry” as a key, and extracts company information that matches the search condition (S18).
If a plurality of “ABC Industries” are hit, the map information generation unit 20 generates a company selection screen (not shown) in which the company code and location of each “ABC Industry” are listed, via the Web server 26. Is sent to the client 28.
On the other hand, the user checks the radio button of the desired “ABC industry” from a plurality of candidate companies, and selects a search target company.

When the target company is specified, the map information generation unit 20 extracts the following information.
(1) “ABC Industry” attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees, etc.)
(2) "ABC Industries" supplier company (company name and company code) and supplier items
(3) "ABC Industry" customer company (company name and company code) and customer items The information in (1) to (3) above is based on the attribute information of "ABC Industry" and the viewpoint of ABC Industry. Corresponding to business relationship information.

Next, the map information generation unit 20 extracts the following information.
(4) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees, etc.) and customer items for which "ABC Kogyo" is registered as "customer"
(5) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees, etc.) and purchases of companies with “ABC Industries” registered as “supplier” In this way, by extracting the attribute information and transaction-related information of companies that have “ABC Industries” as their business partners, companies with which “ABC Industries” is not aware (mainly SMEs) Business relationships can be extracted.

Next, the map information generation unit 20 extracts the following information.
(6) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees, etc.) where the companies of (4) and (5) above are registered as customers ) And customer materials
(7) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees of companies registered as suppliers in (4) and (5) above Etc.) and supplier items

Next, the map information generation unit 20 extracts the following information.
(8) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees, etc.) where the companies of (6) and (7) above are registered as customers ) And customer materials
(9) Attribute information (company code, location, industry code, industry name, listing category, securities code, sales, number of employees of companies registered as suppliers in (6) and (7) above Etc.) and supplier items

Thereafter, the map information generation unit 20 continues the processing described in the above (4) to (9), and “ABC Industrial” primary supplier, secondary supplier, tertiary supplier, etc. Starting from "Industry", we will deepen the hierarchy of business relationships and extract the attribute information and business relationship information of many companies.
However, since the number of companies to be extracted increases geometrically as the hierarchy deepens further, a certain limit is set in advance on the number of companies to be extracted, and the extraction process is stopped before this number is exceeded. Thus, the operation of the map information generation unit 20 is controlled.
When transaction relationship information is extracted redundantly between a pair of companies, the map information generation unit 20 adopts only one of the transaction relationship information according to a predetermined selection rule, and discards the remaining transaction relationship information.

Next, the map information generation unit 20 generates map information based on the extracted information and stores it in the map information storage unit 22 (S20).
FIG. 7 shows an example of this map information. As for the attribute information of each company, as shown in FIG. 7A, the company name, location, industry code, industry name, and listing are listed after the company code. The category, sales, and number of employees are described.

  As for the business relationship between a pair of companies, as shown in (b) of the figure, the direction of the transaction is expressed by “company code-> company code”, and “[label = item (various Metal etc.)] ”.

When map information is generated by the map information generation unit 20, the map output unit 24 is activated and generates an outline map based on the map information (S22).
Next, a screen (Html file) including this outline map is transmitted from the Web server 26 to the client 28 (S24) and displayed on the Web browser (S26).

FIG. 8 shows the outline map screen 40, and a map display area 41 is provided at the center of the screen 40.
In this map display area 41, the presence of the analysis target company is represented by a black dot symbol 42, and the existence of other business-related companies is represented by a white dot symbol 43. Is displayed as a “summary map 45” expressed by a link line 44 connecting the dot-like symbols.

This overview map 45 is intended to provide an overview of the business relationship between a large number of companies. The display content is extremely simple, but the user can move the mouse pointer to any dot symbol 42, 43. When 46 is entered, a pop-up window 47 is opened and the company name is displayed.
Of course, information (location, sales, number of employees, etc.) other than the company name may be displayed in the pop-up window 47.

  The user can freely change the display range of the overview map 45 by moving the position of the mouse pointer 46 up and down and left and right while left-clicking at an arbitrary position in the map display area 41.

  A user who has grasped the overall picture of the business relationship between companies based on the number of arranged dot symbols 43 and the degree of branching of the link line 44 clicks the detailed map button 48 and requests the Web server 26 to display the detailed map screen. (S28).

Upon receiving this request via the Web server 26, the map output unit 24 generates a detailed map based on the map information stored in the map information storage unit 22 (S30).
Next, a screen (Html file) including this detailed map is transmitted from the Web server 26 to the client 28 (S32) and displayed on the Web browser (S34).

FIG. 9 shows the detailed map screen 50, and a map display area 41 is provided at the center of the screen 50.
FIG. 10 is an enlarged view of the detailed map 51 displayed in the map display area 41, and the existence of each company is expressed by a rectangular symbol 53.

In each rectangular symbol 53, the company name, company code, location, industry code, industry name, listing category (securate market or unlisted), securities code (only for listing), sales, and number of employees are described. The user can recognize the outline of each company at a glance.
The item of the company attribute written in the rectangular symbol 53 is not limited to the above, and other attribute information can also be written.

Further, the business relationship between companies is represented by a link line 54 that connects the rectangular symbols 53. As a result, the user can recognize that some business relationship exists between the companies described in the rectangular symbol 53 connected by the link line 54.
Further, the arrow provided at the tip of each link line 54 allows the user to understand the direction of the transaction. For example, the link line is extended from the rectangular symbol 53 of “Takuma Press” to the rectangular symbol 53 of “ABC Industry”, so Takuma Press is a supplier of ABC Industry, and conversely ABC Industry The user understands that he is a customer of Takuma Press.
Furthermore, since the character string 55 indicating the transaction item (transaction target product / service) is displayed on or in the vicinity of the link line 54, the user can grasp the specific contents of the transaction.

Also in this case, the user can freely change the display range of the detailed map 51 by moving the position of the mouse pointer 46 up / down / left / right while left-clicking at an arbitrary position in the map display area 41.
In addition, the user can return to the overview map screen 40 by clicking the overview map button 56 to reconfirm the entire image.

When the user double-clicks an arbitrary rectangular symbol 53, although not shown, a screen on which detailed information about the company and time series information related to finance are described is transmitted from the map output unit 24, and the client 28 Web Displayed on the browser.
As a result, the user can confirm more detailed information of a necessary company.

  As described above, the user uses a simplified display format called the overview map 45, and first has an overview of the business relationship of the target company, and then browses more specific information through the detailed map 51. By tracing, it becomes possible to efficiently grasp the overall picture of the complicated business relationship and the detailed information of each.

However, the display content on each screen is not limited to the outline map 45 and the detailed map 51 described above, and an intermediate display level screen may be employed.
For example, as shown in FIG. 11, the presence of a company is indicated by an oval symbol 58 displaying only the company name, and the presence / absence of a business relationship between the companies and transactions are indicated by link lines 59 with arrows connecting the symbols 58. It is also possible to generate an intermediate map 60 representing the directions of
A character string of the transaction item may be displayed on the link line 59 of the intermediate map 60.

  This intermediate map 60 can be displayed instead of the above-described outline map 45, but it is incorporated between the outline map 45 and the detailed map 51, such as “summary map 45 → intermediate map 60 → detail map 51”. Alternatively, the display level may be switched in three stages.

  As shown in FIG. 8, a year designation field 62 is provided in the overview map screen 40. Click the ▼ button to select another year (for example, 1999) from the pull-down menu and re-display it. When the button 63 is clicked, a summary map display request at the time of 1999 is transmitted to the map information generation unit 20 via the Web server 26.

Receiving this, the map information generation unit 20 extracts the company information for 1999 from the company information storage unit 16 to generate map information, and stores it in the map information storage unit 22.
Next, the map output unit 24 is activated to generate an outline map screen 40 based on the new map information.
The overview map screen 40 is transmitted to the client 28 via the Web server 26.
As a result, a 10-year-old business relationship map related to ABC Industries is displayed on the client 28's Web browser.

When the user clicks the print button 64 in the overview map screen 40, the overview map 45 is printed out from a printer (not shown) connected to the client 28.
When the user clicks the save button 65 in the overview map screen 40, the map output unit 24 generates an image file (GIF, BMP, etc.) of the overview map 40 and downloads it to the hard disk of the client 28.

The user can suppress the number of companies displayed on the overview map 45 by setting display conditions in the refinement setting field 66.
For example, when the user selects and inputs “sales: 10 million yen or more” in the sales setting section 67 and clicks the redisplay button 63, only companies that meet the above conditions are displayed in the overview map 45. The summary map screen 40 is regenerated and displayed on the Web browser of the client 28.
Similarly, when the user selects and inputs “profit rate 20% or more” in the profit rate setting unit 68 and clicks the redisplay button 63, only the companies that meet the above conditions are displayed in the overview map 45. The map screen 40 is regenerated and displayed on the Web browser of the client 28.
When the user sets conditions for both the upper limit and the lower limit of the sales amount or profit ratio, only the companies that fall within this condition range are redisplayed in the overview map 45.
Of course, the user can also set display conditions for both sales and profit margin at the same time.

The user also checks the check box 70 of “independent / affiliated” in the color classification setting field 69 and selects and inputs the colors of the independent and affiliated lines, so that the company is independent or affiliated (in corporate information). Depending on whether or not the parent company is registered, the dot symbol 43 expressed in white can be displayed in different colors (for example, independent system → blue / series system → pink). .
The standard for color coding is not limited to this (independent / series), and may be color-coded according to other standards. In addition, the number of colors is not limited to two, and it may be configured to be divided into three or more colors.

  As shown in FIG. 9, since the year designation field 62 is also provided in the detailed map screen 50, the user designates another year in the year designation field 62 and clicks the redisplay button 63. The attribute information of the company and the transaction information between companies displayed on the detailed map 51 can be replaced with those of other years.

In addition, when the user selects and inputs a predetermined sales amount in the sales amount setting section 67 of the refinement setting field 66 and clicks the redisplay button 63, only the companies that meet this display condition are displayed in the details map 51. The map screen 50 is regenerated and displayed on the Web browser of the client 28.
Similarly, when the user selects and inputs a predetermined profit rate in the profit rate setting unit 68 and clicks the redisplay button 63, the detailed map screen 50 in which only companies that meet this condition are displayed in the detailed map 51 is reproduced. And is displayed on the Web browser of the client 28.

  The user also checks the check box 70 of “independent / series” in the color classification setting column 69 and selects and inputs the colors of the independent and the series, thereby depending on whether the company is independent or affiliated. The rectangular symbol 53 can be displayed in different colors.

When the user clicks the print button 64 in the detailed map screen 50, the detailed map 51 is printed out from a printer (not shown) connected to the client 28.
When the user clicks the save button 65 in the detailed map screen 50, the map output unit 24 generates an image file (GIF, BMP, etc.) of the detailed map 51 and downloads it to the hard disk of the client 28.

  When the user selects and inputs a specific industry field (for example, “electric vehicle”) in the industry field selection field 36 instead of designating the company name or company code on the search screen 30 in FIG. With reference to the separate related company information storage unit 18, the company name and company code in which the electric vehicle is set as the industrial field are specified.

Next, the map information generation unit 20 extracts the attribute information and transaction relation information of these companies from the company information storage unit 16, and generates map information.
At this time, companies that do not have the “Electric Vehicle” industry field set as their business partners (customers and suppliers) are naturally extracted, but the map information generator 20 discards these companies. Only companies that have established the industry field of “electric vehicles” are left as business partners.

The map output unit 24 generates an outline map screen 40 and a detailed map screen 50 based on this map information, and transmits them to the client 28.
As a result, although not shown, the business relationship between companies belonging to a specific industrial field is displayed on the Web browser of the client 28.

  When a user selects a specific industry field, instead of suddenly generating and displaying a business relationship map at the individual company level, a business relationship map that abstracts the business relationship between companies at the company classification level is generated. -By displaying, it is possible to give the user an overview of the entire structure of the industrial field.

FIG. 12 shows the first industry sector-specific business relationship map 71 displayed in the map display area 41, and the existence of the industry category is collectively expressed by the rectangular symbol 72.
In each rectangular symbol 72, the classification name (such as “F Manufacturing”), the number of companies, the total sales, and the total number of employees are described, and the user occupies the size of each classification in the industry field at a glance. (Presence) can be recognized.
The item of the company attribute described in the rectangular symbol 72 is not limited to the above, and other attribute information can also be described.

In this first industry-specific business relationship map 71, the existence of business relationships between companies belonging to each category is represented by link lines 73 connecting the rectangular symbols 72. As a result, the user can recognize that there is some kind of business relationship between the categories described in the rectangular symbol 72 connected by the link line 73 (between companies belonging to the category).
In addition, since a character string (numerical value) 74 indicating the total value of the number of trading companies is displayed in the vicinity of the link line 73, the user can grasp even a large number of business relationships.
Further, the arrow provided at the tip of each link line 73 allows the user to understand the direction of the transaction.

  For example, between the rectangular symbol 72 of “F Manufacturing” and the rectangular symbol 72 of “D Mining”, the link line 73 from “F Manufacturing” to “D Mining” and “D Mining” Since the link line 73 toward “F Manufacturing” is displayed, the user can recognize that there is a two-way transaction between the two categories. In addition, the number of trading companies in the former is “10”, whereas the number of trading companies in the latter is “2”, so the trading relationship of “F Manufacturing” → “D Mining” is more active. It can be grasped that.

The presence or absence of a business relationship between companies belonging to the same classification is expressed by a U-turn arrow line 75 added to the rectangular symbol 72, and the transaction company is represented by a character string (numerical value) 74 arranged in the vicinity thereof. Numbers are expressed.
As a result, the user can recognize that there are transactions within the same industry among 1741 companies belonging to “F Manufacturing Industry”.

Hereinafter, a processing procedure relating to the generation of the first industry sector-specific business relationship map 71 will be described with reference to the flowchart of FIG.
First, the map information generation unit 20 refers to the industry-related related company information storage unit 18, and the company (“electric vehicle”) belonging to a specific industry field (for example, “electric vehicle”) selected and input by the user is designated as “industry field”. The company name, the company code, and the industry classification are acquired (S50).
Next, the map information generation unit 20 extracts attribute information (sales, number of employees, etc.) and business relationship information of these companies from the company information storage unit 16 (S51).
At this time, companies that do not have the “Electric Vehicle” industry field set as their business partners (customers and suppliers) are naturally extracted, but the map information generator 20 discards these companies. Only companies that have established the industry field of “electric vehicles” are left as business partners.

  Next, the map information generation unit 20 sorts each company based on the “business category classification” set for each company (S52), and counts the number of affiliated companies in classification units (S53).

Next, the map information generation unit 20 aggregates the sales and the number of employees of the affiliated company in the classification unit (S54), and then applies the total values to the conversion table set in advance to obtain the total sales and the number of employees. The total range band is determined (S55).
For example, if the total sales of all companies belonging to “L Service Industry” is “520 billion yen”, the map information generation unit 20 uses the conversion table to display “1000 to 100 billion yen”. Convert to string. If the total number of employees of all companies belonging to the “L service industry” is “6,807”, the map information generation unit 20 follows the above conversion table and displays this as a display character string “5000 to 9999”. Convert to
Note that the total value of the sales amount and the number of employees may be displayed in the rectangular symbol 72 as it is without being converted into the above-described range band.

Next, the map information generation unit 20 aggregates the business relationships between the companies in units of classification (S56).
For example, if the company B belonging to “D Mining” is listed as a supplier in the business relationship information of Company A belonging to “F Manufacturing”, the map information generating unit 20 will “F Manufacturing → D Mining: The business relationship of “one company” is extracted. Similarly, when the business relationship information of a company 属 す る belonging to “F Manufacturing Industry” includes a company name belonging to “D Mining” as a supplier, the map information generating unit 20 selects “F Manufacturing Industry → D Mining Industry”. The business relationship of “1 company” is extracted.
On the other hand, if a company belonging to “D Mining” is listed as a customer in the business relationship information of a company belonging to “F Manufacturing Industry”, the map information generating unit 20 “D Mining → F Manufacturing Industry”. The business relationship of “1 company” is extracted.
Finally, by summing up all “F manufacturing industry → D mining industry: 1 company”, the number of trading companies of “F manufacturing industry → D mining industry: 10 companies” is calculated, and all “D mining industry → F manufacturing industry” The total number of trading companies of “D Mining → F Manufacturing: 2 companies” is obtained by counting “1 company”.

  Next, the map information generation unit 20 generates map information in a predetermined format reflecting the above calculation results (the number of companies for each classification, the total sales, the total number of employees, the transaction direction between classifications and the number of trading companies). Then, it is stored in the map information storage unit 22 (S57).

Next, the map output unit 24 generates the first industry-specific business relationship map 71 shown in FIG. 12 according to the map information (S58).
Finally, a screen (Html file) including the first industry sector-specific business relationship map 71 is transmitted from the Web server 26 to the client 28 (S59) and displayed on the Web browser.

FIG. 14 shows a second industry sector-specific business relationship map 76, in which business relationships between companies belonging to a specific industry sector are collectively expressed by a circular symbol 77 indicating the presence of a functional classification. Yes.
In each balloon symbol 77 or in a balloon window 78 arranged in the vicinity of the circle symbol 77, a classification name (such as “material manufacturer”) and the number of companies are described.
In addition, since the size (diameter) of each circular symbol 77 is displayed so as to increase corresponding to the total sales of all companies belonging to each category, the user can see at a glance the industry field of each category. The occupied size (presence) can be recognized.

In the second business field-specific business relationship map 76, the existence of business relationships between companies belonging to each category is represented by a link line 79 connecting the circular symbols 77. As a result, the user can recognize that there is some kind of business relationship between the categories described in the circular symbol 77 connected by the link line 79 (between companies belonging to the category).
Further, since the character string 74 indicating the total value of the number of trading companies is displayed in the vicinity of the link line 79, the user can grasp even a large number of business relationships.
Furthermore, the user can understand the direction of the transaction by an arrow provided at the tip of each link line 79.
Moreover, since the thickness of each link line 79 is displayed so as to increase in accordance with the number of trading companies, the user can recognize at a glance the activity level of transactions between categories.

Hereinafter, a processing procedure relating to the generation of the second industry sector-specific business relationship map 76 will be described with reference to the flowchart of FIG.
First, the map information generation unit 20 refers to the industry-specific related company information storage unit 18 and acquires the company name, company code, and function classification of a company belonging to a specific industrial field (for example, “electric vehicle”) selected and input by the user. (S60).
Next, the map information generation unit 20 extracts the attribute information (sales amount, etc.) and transaction relation information of these companies from the company information storage unit 16 (S61).
At this time, companies that do not have the “Electric Vehicle” industry field set as their business partners (customers and suppliers) are naturally extracted, but the map information generator 20 discards these companies. Only companies that have established the industry field of “electric vehicles” are left as business partners.

  Next, the map information generation unit 20 sorts each company based on the “functional classification” set for each company (S62), and counts the number of affiliated companies in classification units (S63).

Next, the map information generation unit 20 aggregates the sales of the constituent companies in the classification unit (S64), and then applies the respective aggregated values to a preset “sales range-diameter” conversion table to calculate the sales. The diameter of the circle corresponding to the total is determined (S65).
For example, if the total sales of all companies belonging to the “material manufacturer” is “800 billion yen”, the map information generating unit 20 displays “total sales of 500 to 99999 billion yen in the above conversion table: 200 pixels in diameter. And assign it a diameter of "200 pixels".

Next, the map information generation unit 20 aggregates the transaction relations between the companies in the classification unit according to the same procedure as above (S66), and then sets each aggregated value (number of transaction companies) in advance as “transaction company”. By applying to the “number-thickness” conversion table, the thickness of the link line corresponding to the number of trading companies is determined (S67).
For example, if the number of business-related companies heading from “trading companies” to “material manufacturers” is “210 companies”, the map information generation unit 20 refers to “200 companies or more: 10pt” in the above conversion table, Assign a thickness of “10pt” to this.

  Next, the map information generation unit 20 uses the above calculation results (the number of companies for each category, the diameter of the circular symbol corresponding to the total sales, the transaction direction between categories, the number of trading companies, and the link line corresponding to the number of trading companies. Map information reflecting the thickness) is generated and stored in the map information storage unit 22 (S68).

Next, the map output unit 24 generates the second industry-specific business relationship map 76 shown in FIG. 14 according to the map information (S69).
At this time, the map output unit 24 draws a circular symbol 77 having a diameter assigned to each category, and describes a character string representing the category name and the number of companies in the circular symbol 77. However, when the diameter of the circular symbol 77 is shorter than the predetermined value and the classification name and the number of companies cannot be accommodated inside, a balloon window 78 is added to the circular symbol, and these character strings are described in the inside. To do. At the same time, the map output unit 24 draws the link line 79 with a thickness corresponding to the number of trading companies between the categories.

  Finally, a screen (Html file) including the second industry-specific business relationship map 76 is transmitted from the Web server 26 to the client 28 (S70) and displayed on the Web browser.

By the way, in the credit report, the industry code and the industry name of each company are described, but the industry field is not specified. For this reason, it is necessary for humans to extract the relevant company information by industry based on the description of the credit report.
That is, in order to extract companies that are related to “electric vehicles”, even if searching the credit report storage unit 12 by setting “electric vehicles” as a keyword, “… the delay in R & D on electric vehicles” Credit check reports that contain a sentence that expresses the opposite meaning, such as “Sound ...” will also hit. Conversely, even if the company does not include the word “electric vehicle” in the credit report, it may be recognized as a company that is substantially related to electric vehicles from other descriptions. .
However, it takes a lot of time and labor to generate industry-related company information by checking all credit check reports by humans, so we have devised a semi-automated system.

  FIG. 16 is a block diagram showing an overall configuration of this industry-related related company information generation support system 80. In addition to the credit check report storage unit 12 and the industry-specific related company information storage unit 18, a search processing unit 82, A search result storage unit 84, a teaching data storage unit 86, a trend analysis unit 88, a model data storage unit 90, and an industry-specific related company extraction unit 92 are provided.

The search processing unit 82, the trend analysis unit 88, and the industry-related related company extraction unit 92 are realized by the CPU of the computer executing predetermined processing according to the OS and a dedicated application program.
The search result storage unit 84, the teaching data storage unit 86, and the model data storage unit 90 are provided in the hard disk of the computer.
A design terminal 94 made of a PC is connected to the industry-related company information generation support system 80 via a communication network.

Hereinafter, a processing procedure in the industry-related company information generation support system 80 will be described.
First, the designer transmits a search request designating a search keyword (for example, “electric vehicle”) from the design terminal 94 to the system 80.
Receiving this, the search processing unit 82 extracts the credit check report including the specified search keyword in the document from the credit check report storage unit 12, stores it in the search result storage unit 84, and stores the search result list. Is transmitted to the design terminal 94.

  Although not shown in the figure, this search result list includes excerpts in the credit report, in addition to attribute information such as company name, company code, location, industry name, industry code, listing category, sales, and number of employees. It is included. This excerpt is a sentence of an item describing the business contents of the company, such as “business contents”, “company characteristics”, and “results of the latest period”.

The designer checks the search result list displayed on the display and sets a flag of “T (true)” or “F (false)” for each listed company.
In other words, if the company name and the content of the excerpt are scrutinized and it is determined that the company is truly an “electric vehicle related company” based on its own experience and knowledge, the value of “T” is used. If it is determined that it is not an “affiliated company”, the value of “F” is selected.
Then, after setting the flags for a predetermined number of cases (for example, about 100 companies) in the search result list, the designer stores the determination result in the teaching data storage unit 86 as teaching data.

Next, the trend analysis unit 88 is activated to analyze the teaching data in which the T / F flag is set by the designer.
Specifically, the trend analysis unit 88 executes the following processing.
(1) The excerpt of each company included in the teaching data is broken down into morpheme units.
(2) Refers to various dictionaries (company name dictionary, person name dictionary, product name dictionary, service name dictionary, etc.) and indicates the type (company name, person name, product name, service name, etc.) for matching morphemes An identification code is assigned.
(3) Extract morphemes with a predetermined type of identification code such as product names and service names from the excerpts of each company.
(4) The companies listed in the list are divided into a group set with “T” and a group set with “F”.
(5) The appearance frequency of the same morpheme is calculated for each group.
(6) By performing predetermined statistical processing on the appearance frequency data of morpheme units in each group, model data is generated and stored in the model data storage unit 90.

Next, the industry-related related company extraction unit 92 is activated, and the above model data is applied to a large amount of extracted search result data stored in the search result storage unit 84. The flag “T” or “F” is assigned.
Specifically, the industry-related related company extraction unit 92 executes the following processing.
(1) Break down the excerpts of each company included in the search result data into morpheme units.
(2) Refers to various dictionaries (company name dictionary, person name dictionary, product name dictionary, service name dictionary, etc.) and indicates the type (company name, person name, product name, service name, etc.) for matching morphemes An identification code is assigned.
(3) Extract morphemes with a predetermined type of identification code such as product names and service names from the excerpts of each company.
(4) Calculate the appearance frequency of the same morpheme for each company.
(5) By applying the above model data to the calculation results of each company, a determination flag of “T” or “F” is given.
(6) The industry-related company information in which the company name, company code, and industry field of the company to which the determination flag “T” is given is generated and stored in the industry-related company information storage unit 18.

  In the above, an example in which the business relationship map generation system 10 is realized on the Web system has been shown. However, the present invention is not limited to this, and for example, by a computer having a functional configuration for realizing the system 10 Naturally, it is also possible to realize a so-called stand-alone configuration.

It is a block diagram which shows the function structure of the transaction relationship map production | generation system which concerns on this invention. It is a figure which shows an example of a credit investigation report. It is a figure which shows the example of a data item of company information. It is a figure which shows the example of a data item of related company information according to industry. It is a flowchart which shows the process sequence which concerns on transaction relationship map generation. It is a figure which shows a search screen. It is a figure which shows an example of map information. It is a figure which shows an example of an outline map screen. It is a figure which shows an example of a detailed map screen. It is an enlarged view which shows an example of a detailed map. It is a figure which shows the structural example of an intermediate map. It is a figure which shows the structural example of the 1st industry field classified transaction relationship map. It is a flowchart which shows the process sequence which concerns on the 1st industry field classified transaction relationship map production | generation. It is a figure which shows the structural example of the 2nd industry field classified transaction relationship map. It is a flowchart which shows the process sequence which concerns on the 2nd industry field classified transaction relationship map production | generation. It is a block diagram which shows the function structure of the related company information generation assistance system according to industry.

10 Business relationship map generation system
12 Credit Check Report Storage Department
14 Corporate Information Generation Department
16 Corporate information storage
18 Industry-related company information storage
20 Map information generator
22 Map information storage
24 Map output section
26 Web server
28 clients
30 Search screen
32 Company name input field
34 Company code input field
36 Industry field selection column
38 Search button
40 Overview map screen
41 Map display area
42 Dot symbol
43 Dot symbol
44 Link line
45 Overview map
46 Mouse pointer
47 Pop-up window
48 Detailed map button
50 Detailed map screen
51 Detailed map
53 Rectangular symbol
54 Link line
55 String indicating the transaction item
56 Overview map button
58 oval symbol
59 Link line
60 Intermediate map
62 year designation field
63 Refresh button
64 Print button
65 Save button
66 Filter setting field
67 Sales Setting Department
68 Profit ratio setting department
69 Color coding setting field
70 check box
71 First industry-specific business relationship map
72 Rectangular symbol
73 Link line
74 Character string indicating the number of trading companies
75 U-turn arrow line
76 Second industry-specific business relationship map
77 Circular symbol
78 Callout window
79 Link line
80 Industry-related company information generation support system
82 Search processing section
84 Search result storage
86 Teaching data storage
88 Trend Analysis Department
90 Model data storage
92 Related company extraction department by industry
94 Design terminal

Claims (4)

Associate each company's company name, location, and other attribute information with each company's customer company and its trading items, each company's supplier company and its trading relationship information with a unique company code Company information storage means for storing a plurality of information,
Industry-related company information storage means that defines the correspondence between a specific industry field, a company related to the industry field, and a classification assigned to each company,
Map information generating means for generating map information with reference to the company information storing means and the industry-specific related company information storing means,
A transaction relationship map generation system comprising a map output means for generating a transaction relationship map based on the map information and outputting the map to the outside,
When the map information generating means inputs a display condition for designating a specific industry field, the company information is identified after referring to the industry-related related company information storage means to identify the company related to the industry field. Processing for extracting attribute information and business relationship information of each company with reference to the storage means, and extracting at least necessary attribute information relating to the customer company and supplier company of the company with reference to the company information storage means Based on the classification information of each company, the number of companies for each classification, the number of transactions between each company for each classification, the total number of companies for each classification, between categories Execute the process to generate the map information including the total value of the number of transactions and the direction of the transaction,
In the map output means, symbols indicating the existence of each category are arranged on a plane, the number of companies for each category is displayed in association with each symbol, and the existence of transactions between each category is indicated between each symbol. The direction of the transaction is indicated by an arrow attached to the tip of each link line, and a character string representing the total value of the number of transactions between the above categories is displayed for each link line. A business relationship map generation system characterized by generating a business relationship map arranged in the vicinity. The map information generation means aggregates values related to specific attributes of each company for each classification, generates map information including the aggregated values,
2. The business relationship map generation system according to claim 1 , wherein the map output unit generates a business relationship map in which a total value for each classification related to the specific attribute is displayed in association with the symbol. The map output means displays the symbol indicating the existence of each classification in a size corresponding to the aggregate value for each classification related to the specific attribute, and a link line connecting the symbols between the classifications. The transaction relationship map generation system according to claim 2 , wherein a transaction relationship map displayed with a thickness corresponding to the total value of the number of transactions is generated. Computer
Associate each company's company name, location, and other attribute information with each company's customer company and its trading items, each company's supplier company and its trading relationship information with a unique company code Company information storage means to store a plurality,
Industry-related company information storage means that defines the correspondence between specific industries, companies related to the industry, and classifications assigned to each company,
Map information generating means for generating map information with reference to the company information storing means and the industry-related related company information storing means,
A business relationship map generation program that generates a business relationship map based on this map information and functions as a map output means for output to the outside,
When the map information generating means inputs a display condition for designating a specific industry field, the company information is identified after referring to the industry-related related company information storage means to identify the company related to the industry field. Processing for extracting attribute information and business relationship information of each company with reference to the storage means, and extracting at least necessary attribute information relating to the customer company and supplier company of the company with reference to the company information storage means Based on the classification information of each company, the number of companies for each classification, the number of transactions between each company for each classification, the total number of companies for each classification, between categories Execute the process to generate the map information including the total value of the number of transactions and the direction of the transaction,
In the map output means, symbols indicating the existence of each category are arranged on a plane, the number of companies for each category is displayed in association with each symbol, and the existence of transactions between each category is indicated between each symbol. The direction of the transaction is indicated by an arrow attached to the tip of each link line, and a character string representing the total value of the number of transactions between the above categories is displayed for each link line. A business relationship map generation program for generating a business relationship map arranged in the vicinity .

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