JP2022039343A - Investigation information processing device, method for controlling investigation information processing device, and control program of investigation information processing device - Google Patents

Abstract

To provide an investigation information processing device or the like capable of easily and surely collecting information required for investigation or the like at low cost.SOLUTION: An investigation information processing device 10 retrieves investigation item information on an investigation object through the Internet 2, determines whether the investigation item information collected by retrieval is investigation object side information provided from an investigation object side or information other than the investigation object side provided from other than the investigation object, and stores specific investigation item information as investigation result information when the specific investigation object information being the investigation object side information coincides with contents of the specific investigation item information being the information other than the investigation object side.SELECTED DRAWING: Figure 1

Description

The present invention relates to, for example, a research information processing device that manages search information, a control method of the research information processing device, and a control program of the research information processing device.

Conventionally, it has been proposed to use a system or the like having a special database for a credit check or the like of a counterparty who conducts a transaction (for example, Patent Document 1 or the like).

Japanese Unexamined Patent Publication No. 2002-149970

However, using a system having a special database as in the past has a problem that the cost increases, it takes time, and it is difficult for the user to use it.

Therefore, the present invention provides a survey information processing apparatus, a control method for the survey information processing apparatus, and a control program for the survey information processing apparatus, which can easily and surely collect information necessary for investigation and the like at low cost. With the goal.

The above object is, in the present invention, a search information processing apparatus for searching search item information regarding a search target via the Internet, and the search item information collected by the search is provided from the search target side. It is determined whether the information is the survey target side information or the information other than the survey target side provided by other than the survey target side, and the specific survey item information and the non-survey target side information which are the survey target side information. It is achieved by a survey information processing apparatus characterized by storing the specific survey item information as survey result information when the contents of the specific survey item information match.

According to the above configuration, since the survey item information (corporate name, etc.) regarding the survey target (for example, company B, etc.) is searched on the Internet website, it is inexpensive without using a system having a special database as in the past. It is possible to easily and quickly acquire the survey item information.
Further, in the above configuration, specific survey item information (for example, corporate name, etc.) acquired from survey target side information (for example, information on the website of company B, etc.) and information other than the survey target side (for example, information on the Y website, etc.) Etc.), when the content of the specific survey item information (for example, corporate name, etc.) matches, the specific survey item information is stored as the survey result information.

In this way, for example, for the same survey item information (for example, corporate name, etc.), not only the subjective information on the website of company B, but also this information is the information on the objective website such as Y website. Determine if they match.
Therefore, for example, even information on a website, which generally contains unreliable information, can be guaranteed to be reliable.
That is, by determining whether or not the information on the survey target side, for example, the website of company B, etc., matches the content of a third party (Y website, etc.) other than the survey target side, for example. Only accurate information can be selectively acquired.
As described above, in the present invention, it is possible to easily and surely collect information necessary for investigation and the like at low cost.

Preferably, the survey target side information of the survey information processing apparatus is information provided on the website operated by the survey target, and the existence / non-existence information of the survey target is based on the updated information of the website. Is characterized by producing.

According to the above configuration, it is possible to easily and quickly determine whether or not the investigation target (for example, company B or the like) exists as an entity.

Preferably, the survey item information of the survey information processing apparatus includes the history information and the capital change information of the business to be surveyed, and the capital change information also changes in response to the change of the history information of the business. It is characterized in that it is configured to determine whether or not to do so.

According to the above configuration, the creditworthiness of the surveyed object can be measured by determining whether or not the capital change information also changes in response to the change in the history information of the surveyed business.

Preferably, it is determined whether or not the survey item information of the survey information processing apparatus includes the business scale information of the survey target and the transaction financial institution information, and is the transaction financial institution information corresponding to the business scale information. It is characterized by.

According to the above configuration, the creditworthiness of the survey target can be measured by determining whether or not the transaction financial institution information corresponds to the business scale information of the survey target.

It is preferable to specify the industry information of the survey target from the survey item information, generate competitive information of the same industry based on the industry information, and generate competitive advantage / disadvantage information based on the competitive information. ..

According to the above configuration, it is possible to generate competing information of competitors and the like and information on their advantages and disadvantages, so that it is possible to more accurately grasp the state of the business or the like to be investigated.

The above object is, in the present invention, a control method of a search information processing apparatus for searching search item information regarding a search target via the Internet, and the search item information collected by the search is the search target. It is determined whether the information is the survey target side information provided by the side or the information other than the survey target side provided by other than the survey target side, and the specific survey item information which is the survey target side information and other than the survey target side. When the content of the specific survey item information, which is information, matches, the control method of the survey information processing apparatus is achieved by storing the specific survey item information as survey result information.

In the present invention, the above object is provided to a search information processing apparatus that searches for search item information regarding a search target via the Internet, and the search item information collected by the search is provided by the search target side. A function to determine whether the information is information on the survey target side or information other than the survey target side provided by other than the survey target side, the specific survey item information which is the survey target side information and the information other than the survey target side. It is achieved by the control program of the survey information processing apparatus configured to execute the function of storing the specific survey item information as the survey result information when the contents of the specific survey item information match.

As described above, the present invention has a research information processing apparatus, a control method for the research information processing apparatus, and a control program for the research information processing apparatus, which can easily and surely collect information necessary for investigation and the like at low cost. Has the advantage of being able to provide.

It is a schematic diagram which shows the outline of the "investigation information processing system 1" including "investigation information processing apparatus 10" which is an embodiment of "investigation information processing apparatus" of this invention. It is a schematic block diagram which shows the main structure of the investigation information processing apparatus 10 of FIG. It is a schematic block diagram which shows the main structure of the 1st various information storage part 20. It is a schematic block diagram which shows the main structure of the 2nd various information storage part 30. It is a schematic block diagram which shows the main structure of the 3rd various information storage part 40. It is a schematic block diagram which shows the main structure of the 4th various information storage part 50. It is a schematic block diagram which shows the main structure of the 5th various information storage part 60. It is a schematic block diagram which shows the main structure of the 6th various information storage part 70. It is a schematic block diagram which shows the main structure of the 7th various information storage part 80. It is a schematic block diagram which shows the main structure of the 8th various information storage part 90. For example, it is a schematic flowchart which shows the process of generating "Comprehensive credit information of company B" about company B which is the object of investigation. For example, it is another schematic flowchart showing the process of generating "Comprehensive credit information of company B" for company B, which is the subject of the investigation, and is an explanatory diagram of sales information and the like. For example, it is another schematic flowchart which shows the process of generating "Comprehensive credit information of company B" about company B which is the object of investigation. For example, it is another schematic flowchart which shows the process of generating "Comprehensive credit information of company B" about company B which is the object of investigation. For example, it is a schematic flowchart which shows the process of generating "Comprehensive credit information of company B" about company B which is the object of investigation. It is a schematic flowchart which shows the process of generating "company B business state information". It is another schematic flowchart which shows the process of generating "company B business state information".

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings and the like.
Since the embodiments described below are suitable specific examples of the present invention, various technically preferable limitations are attached, but the scope of the present invention is particularly limited to the present invention in the following description. Unless otherwise stated, the present invention is not limited to these aspects.

FIG. 1 is a schematic diagram showing an outline of a “research information processing system 1” including a “research information processing device 10” which is an embodiment of the “research information processing device” of the present invention.
As shown in FIG. 1, the system 1 has a research information processing device 10, an Internet network 2, and a "website management device 100" that manages a website, and the research information processing device 10 and the website management device 100 include. , It is configured to be able to communicate with each other via the Internet network 2.

Therefore, the research information processing apparatus 10 is a website managed by the website management apparatus 100 via the Internet network 2, for example, B, H, I, J, K, L, M, O, P, Q, R. , S, T, V, W, Y, Z websites can be browsed.
In the present embodiment, for convenience of explanation, the management of the website is set to one device 100, but the present invention is not limited to this, and includes the case where the website is managed by being divided into a plurality of devices. Is done.

Further, the survey information processing device 10 and the website management device 100 of the system 1 of FIG. 1 have a computer, and the computer includes a CPU (Central Processing Unit), a RAM (Random Access Memory), and a ROM (Read). It has an Only Memory), a hard disk, and the like, and is connected via a bus.

FIG. 2 is a schematic block diagram showing a main configuration of the survey information processing apparatus 10 of FIG.
As shown in FIG. 2, the device 10 has a control unit 11, and the control unit 11 includes a communication device 12 for communicating with an external device, a display 13 which is an information display device for displaying information, and the like. It is configured to control various information input devices 14 for inputting various information.
Further, the control unit 11 includes a first various data storage unit 20, a second various data storage unit 30, a third various data storage unit 40, a fourth various data storage unit 50, and a fifth, as shown in FIG. The various data storage units 60, the sixth various data storage units 70, the seventh various data storage units 80, and the eighth various data storage units 90 are also controlled.

3 to 10 are schematic block diagrams showing the main configurations of the "first various information storage units 20" to the "eighth various information storage units 90", respectively. These contents will be described later.

Hereinafter, an operation example of the “investigation information processing system 1” according to the present embodiment will be described with reference to FIGS. 11 to 17.
11 to 15 are schematic flowcharts showing a process of generating "Comprehensive credit information of Company B" for, for example, Company B, which is the subject of the investigation, and FIGS. 16 and 17 generate "Business status information of Company B". It is a schematic flowchart which shows the process to perform.

First, in the present embodiment, the "requester A" who requests the investigation using FIGS. 11 to 15 is the "Comprehensive Company B" which is the investigation information of the credit investigation of the company B who is planning to start the transaction. The explanation will be given by taking as an example the request for the generation of "credit information".
Then, after that, using FIGS. 16 and 17, the requester A will be described as an example of requesting the generation of "company B business status information" which is the survey information of the business status survey of company B.

(Generation process of "Comprehensive credit information of company B")
First, the research information processing apparatus 10 of FIG. 1 starts searching for information on the website using the Internet network 2 based on the request of the requester A.
Specifically, the process proceeds to step 1 of FIG. 11 (hereinafter referred to as “ST”) 1.
This search is performed using keywords, but in the present embodiment, for example, the minimum information of company B (the minimum information held by the subject (company B) of the credit investigation) is used. Use as the first keyword.

Specifically, for example, it may be specified to investigate by public information (including public and non-public information) such as the company name, corporate number, individual name, shop name, address of the corporation, but first. The survey requester A may specify the official website to be surveyed in advance.
In addition, as the official website to be investigated first, for example, My Number, commercial register, seal certificate, resident's card and the like can be mentioned.

In this embodiment, for example, the "basic information acquisition unit (program) 21" in FIG. 3 operates, and the website management device 100 is first operated on the Internet network 2 based on the keyword "B" which is the company name of company B. Websites B, H, etc. are automatically searched, and websites related to "B" (press releases, news, new store opening / closing information, public institutions (including public and non-public information), research companies) Search and identify (including websites).

In this embodiment, for example, B, Y, Z websites are specified as related websites.

Then, proceed to ST2. In ST2, the acquisition unit 21 is the survey item information from the description of the specified website (websites of B, Y, Z), for example, "corporate name", "date of establishment", "location of head office". , "Stores", "Number of business establishments", "Representative name", "Executive name", "Capital", "Financial institution" and "Business partner information", etc. 22 ”to memorize.

Specifically, from the B website, the corporate name (B Co., Ltd.), the date of establishment (April 1, 1), the location of the head office (Tokyo), the store (Yokohama), the number of business establishments (5), Obtained information such as representative name (Kou Otsu), officer name (...), capital (10 million yen), financial institution (Bank A) and business partner information (Trading company D), and the storage unit 22 Remember in.

Also, from the Y website, the corporate name (B Holdings), the date of establishment (January 1, 2), the location of the head office (Osaka), the store (Yokohama), the number of business establishments (5), and the name of the representative (Cho). ), Officer name (...), capital (20 million yen), financial institution (Bank B), business partner information (E trading company), etc. are acquired and stored in the storage unit 22.
Furthermore, from the Z website, the corporate name (B Co., Ltd.), the date of establishment (April 1, 1), the location of the head office (Tokyo), the store (Yokohama), the number of business establishments (5), and the name of the representative. (A), officer name (...), capital (10 million yen), financial institution (Bank A), business partner information (Trading company D), etc. are acquired and stored in the storage unit 22. ..

Then, proceed to ST3. In ST3, the "subjective objective judgment unit (program) 23" shown in FIG. 3 operates, and the websites B, Y, and Z are "subjective websites" based on the information of the creators and operators of the respective websites. "Or" objective website "to judge.
Here, the information on the subjective website is the information on the survey target side provided by the survey target side, for example, the information on the B website operated by company B, and the information on the objective website is the information on the survey target side. Information other than the survey target side provided by other than, for example, the third party is the information of the websites of Y and Z operated.

That is, in the present embodiment, the B website is determined to be a "subjective website" and the Y and Z websites are determined to be "objective websites", and the websites are stored in the "basic information storage unit 22" of FIG.

Then, proceed to ST4. In ST4, the "credit information judgment unit (program) 24" in FIG. 3 operates, and whether the content of the B website, which is a subjective website, matches the contents of the Y and Z websites, which are objective websites. Judge whether or not.
Specifically, as shown in the basic information storage unit 22, the content of the B website matches the content of the Z website.
Then, if they match, the investigation result is stored in the "basic information storage unit 22" of FIG. 3, for example, as credit information.

As described above, in the present embodiment, the reliability of the website information, which generally includes unreliable information, can be ensured.
That is, it is accurate by judging whether or not the information on the website of company B, which is the survey target side, matches the contents of the third parties (Y and Z websites, etc.) other than the survey target side. Only information can be selectively acquired.
As described above, in the present embodiment, it is possible to easily and surely collect information necessary for investigation and the like easily and surely at low cost.

Now that the basic information of company B has been acquired, the "industry information" of company B is acquired next.
Proceed to ST5. In ST5, the "industry information acquisition unit (program) 31" in FIG. 4 operates, and based on the keyword "B", which is the company name of company B, the website is automatically searched via the Internet network 2 and "B". Search and identify websites related to ".

In this embodiment, for example, B, V, W websites are identified.
Next, the acquisition unit 31 identifies the industry of company B from the products, services, etc. handled on the websites of B, V, and W, and stores it in the “industry information storage unit 32” of FIG.
Specifically, categorization based on a statistical method is performed from the character data, image data, etc. of the above-mentioned specified website (B, V, W).

For example, (1) essential words and phrases, (2) frequent words and phrases, (3) image groups and the like are typical elements necessary for categorization based on statistical methods.
Taking these as examples of specific industries, they are as follows.

(In the case of hairdressing and beauty industry)
(1) The essential phrase group is, for example, "beauty salon", "barber shop", "salon", etc., and (2) the frequent phrase group is, for example, "cut", "color", "perm", "stylist", etc. , (3) The image group is, for example, a “cut model image” or the like.
(In the case of restaurant business)
(1) The essential phrase group is, for example, "menu", "drink", etc., (2) the frequent phrase group is "meat", "fish", "vegetable", etc., and (3) the image group is. "Image of food" etc.

That is, the "industry" is specified by whether or not the information of the above-mentioned specific website (B, V, W) corresponds to the essential phrase group, the frequent phrase group, and the image group.
In the present embodiment, the "industry" is determined by ST6. Specifically, as shown in the "industry information storage unit 32" of FIG. 4, the B website is "restaurant business" and the V website is "food". It is judged as "wholesale business" and "restaurant business" on the W website.

Then, the process proceeds to ST7. In ST7, the "subjective objective judgment unit (program) 23" in FIG. 3 operates, and the websites B, V, and W are "subjective websites" or "subjective websites" based on information such as the creators and operators of the websites. It is determined whether it belongs to any of the "objective websites" and stored in the "industry information storage unit 32" of FIG.
In the present embodiment, the B website is determined to be a subjective website, and the V and W websites are determined to be objective websites and are stored.

Then, the process proceeds to ST8. In ST8, the "credit information judgment unit (program) 24" in FIG. 3 operates, and the content of the B website (restaurant business), which is the content of the subjective website, is the content of the W website, which is the content of the objective website. In order to match (restaurant business), the contents of the B website are stored as credit information in the "industry information storage unit 32" of FIG.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (V and W website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.
Then, in the present embodiment, it is possible to easily and surely collect the information necessary for the investigation or the like at low cost and easily.

Now that the industry information of company B has been acquired, the "existence / non-existence information" of company B is acquired next.
Proceed to ST9. In ST9, the "substance existence / non-existence information acquisition unit (program) 33" of FIG. 4 operates, and based on the website update information such as whether the website of company B is updated, the "substance existence / non-existence" of company B is performed. The presence or absence of "information" is determined and stored in the "substance existence / non-existence information storage unit 34" of FIG.
That is, when the website of company B is not updated, the activity of company B may be suspended, and the updated information is used to collect information about the "entity" of company B.

Further, in ST10, the acquisition unit 33 operates to search for updated information on the website of "Company B" on a website other than Company B (for example, S, T).
That is, the information regarding the update of the website of the company B is searched for on the websites other than the company B (S, T, etc.).
Then, it is determined whether or not there is "substance existence / non-existence information" of Company B, and the information is stored in the substance existence / non-existence information storage unit 34 of FIG.

Then, the process proceeds to ST11. In ST11, the "subjective objective judgment unit (program) 23" of FIG. 3 operates, and the websites B, S, and T are "subjective websites" or "subjective websites" based on information such as the creators and operators of the websites. It is determined whether it belongs to any of the "objective websites" and stored in the "substantive existence / non-existence information storage unit 34" of FIG.
In the present embodiment, the B website is determined to be a subjective website, and the S and T websites are determined to be objective websites, and are stored.

Then, the process proceeds to ST12. In ST12, the "credit information judgment unit (program) 24" in FIG. 3 operates, and the content (existence information) of the B website, which is the content of the subjective website, is the content of the T website, which is the content of the objective website. The content of the B website is stored as credit information in the "existence / non-existence information storage unit 34" of FIG. 4 in order to match the content (existence information) of.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (S and T website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.
Then, in the present embodiment, it is possible to easily and surely collect the information necessary for the investigation or the like at low cost.
In addition, it is possible to easily and quickly determine whether or not Company B, which is the subject of the investigation, exists as an entity.

Now that the entity existence / non-existence information of company B has been acquired, the "position share information" of company B is acquired next.
The "position share information" is executed only when it is determined in the above-mentioned "entity existence / non-existence information" that "the entity exists".

Then, the process proceeds to ST13. In ST13, the "position share information acquisition unit (program) 41" in FIG. 5 operates, and based on the company name "B" of company B and the keywords of the above-mentioned "industry information", the website (on the Internet network 2) ( For example, B, Q, R, etc.) are automatically searched, information on the position share of "Company B" in the industry (high, middle, low, etc.) is acquired, and the "position share information storage unit 42" in FIG. 5 is obtained. Remember in.
That is, it acquires information such as high, medium, or low share of company B in the industry.

Then, the process proceeds to ST14. In ST14, the "subjective objective judgment unit (program) 23" of FIG. 3 operates, and the websites B, Q, and R are "subjective websites" or "subjective websites" based on information such as the creators and operators of the websites. It is determined whether it belongs to any of the "objective websites" and stored in the "position share information storage unit 42" in FIG.
In the present embodiment, the B website is determined to be a subjective website, and the Q and R websites are determined to be objective websites, and are stored.

Then, the process proceeds to ST15. In ST15, the "credit information judgment unit (program) 24" in FIG. 3 operates, and the content of the B website (information that it is low), which is the content of the subjective website, is the content of the R website, which is the content of the objective website. Since it matches the content of the site (information that it is low), the content of the B website is stored as credit information in the "position share information storage unit 42" of FIG.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (Q and R website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.

In addition to this embodiment, the position share in the industry of Company B may be estimated as follows. The position share in the industry is only the "open network" website among the websites. It may also be executed by multiplying websites of "closed" resources instead.
In addition, even if only the "Open Network" website is automatically searched and aggregated, it is possible to determine how much resources are invested in the sales activities, advertising activities, etc. of the surveyed company (for example, Company B). , This makes it possible to predict the position share within the industry.

In addition, the degree of business activity can be estimated and the position share in the industry can be estimated by measuring the degree of exposure of Company B based on the "objective website".
In addition, the amount of subjective data on the "subjective website", the amount of updated information (press releases, news, etc.) and the amount of objective data on the "objective website", the amount of information on the number of posted sites, etc. You may compare the qualitative correlations and infer the position share of Company B in the industry from these.

Now that the position share information of company B has been acquired, the "same level company information" of company B is acquired next.
The acquisition of the same level company information of Company B is determined only when the "existence information" is determined as credit information in the substance existence / non-existence information in FIG. 4 and the position share information in FIG. 5 exists as credit information. ..

Proceed to ST16. In ST16, the "same level company information acquisition unit (program) 43" in Fig. 5 operates, and based on the "position share information (for example, low, etc.)" in Fig. 5 confirmed by Company B, other companies in the same industry at the same level. Is automatically searched for websites (B, O, P) via the Internet network 2, and the results are stored in the "same level company information storage unit 44" in FIG.

Then, the process proceeds to ST17. In ST17, the "subjective objective judgment unit (program) 23" in FIG. 3 operates, and the websites B, O, and P are "subjective websites" or "subjective websites" based on information such as website creators and operators. It is determined whether it belongs to any of the "objective websites" and stored in the "same level company information storage unit 44" in FIG.
In the present embodiment, the B website is determined to be a subjective website, and the O and P websites are determined to be objective websites, and are stored.

Then, the process proceeds to ST18. In ST18, the "credit information judgment unit (program) 24" in FIG. 3 operates, and the content of the B website (Company C), which is the content of the subjective website, is the content of the objective website, O and P. Since it does not match the contents of the site (Company D, Company E), the contents of the B website are stored in the "same level company information storage unit 44" in FIG. 5, assuming that they are not credit information.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (Q and R website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.

Now that the company B's company information of the same level has been acquired, the company B's "capital information relative to the business history of company B" is acquired.
Proceed to ST19. In ST19, the “Business History Comparison Capital Information Judgment Department (Program) 51” in FIG. 6 operates, and the website (for example, for example) is used via the Internet network 2 with the company name “B” of “Company B” as the keyword. B, L, M) is automatically searched, and the business history information (for example, business history information) of company B and the capital change information corresponding to the history are obtained from the description on the websites of B, L, and M. Then, it is stored in "Company B business history comparison capital information storage unit 52" in FIG.

In this embodiment, on the B website, the "business history information" is from a small company to a small and medium-sized enterprise, and the "capital change information" is from 3 million yen to 50 million yen. "Business history information" ranges from small companies to small companies, and "capital change information" ranges from 3 million yen to 5 million yen.
In addition, on the M website, "business history information" is from small enterprises to small and medium-sized enterprises, and "capital change information" is from 3 million yen to 50 million yen.

Then, the process proceeds to ST20. In ST20, the judgment unit 51 operates, and the "capital change information" changes in response to the "business history information" of company B in the "capital information storage unit 52 compared to the business history of company B" in FIG. Judge the validity of whether or not it is.
For example, if the capital is increasing in response to the change from a small company to a small and medium-sized company in the capital change information, it is judged to be "appropriate" and the result is "Company B business history comparison capital information storage unit". 52 ”.
In this embodiment, as shown in "Company B Business History Comparison Capital Information Storage Unit 52", it is determined that the B website and the M website are "valid", and the L website is "invalid", and the information is stored. To.

Then, the process proceeds to ST21. In ST21, the "subjective objective judgment unit (program) 23" of FIG. 3 operates, and the websites B, L, and M are "subjective websites" or "subjective websites" based on information such as the creators and operators of the websites. It is determined whether it belongs to any of the "objective websites" and stored in the "Company B business history comparison capital information storage unit 52" in FIG.
In the present embodiment, the B website is determined to be a subjective website, and the L and M websites are determined to be objective websites, and are stored.

Then, the process proceeds to ST22. In ST22, the "credit information judgment unit (program) 24" in Fig. 3 operates, and the "business history information (from small and medium-sized enterprises)" and "capital change information" on the B website, which is the content of the subjective website, ( The information of "3 million yen to 50 million yen)" and "validity (○)" is the "business history information (small to medium-sized enterprises)" and "capital change" of the objective website M website. Since it matches the information (3 million yen to 50 million yen) and "validity (○)", the content of the B website is as credit information, "B company business history comparison capital information memory". It is stored in "Part 52".

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (L and M website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.
In particular, by determining whether or not the capital change information changes in response to the change in the background information (business history information), the creditworthiness of company B, which is the subject of the survey, can be measured.

Now that the capital information for company B's business history has been acquired, the next step is to acquire "information on financial institutions for transaction against company size B".
Proceed to ST23. In ST23, the "Company size comparison financial institution information acquisition department (program) 53" in Fig. 6 operates, and the website is automatically automated via the Internet network 2 with the company name "B" of "Company B" as the keyword. Search and specify the business scale information of company B, for example, the company size from the description on the website (for example, B, J, K), and compare the specified company size with the "Comparison of company B company size" in FIG. It is stored in the transaction financial institution information storage unit 61 ”.

In addition, regarding the B website, the acquisition department 53 uses the information of the “transaction financial institution” of the “basic information storage unit 22” in FIG. 3 as the transaction finance of the “company B company size comparison transaction financial institution information storage unit 61”. It is stored as institutional information, for example, "transaction financial institution information".
On the other hand, with respect to the websites of J and K, the financial institution information acquired from these websites is stored as the "transaction financial institution" of the storage unit 61.
In this embodiment, as shown in the storage unit 61, the company size of the B website is "small and medium-sized enterprise", the transaction financial institution is "Bank A", the company size of the J website is "small and medium-sized enterprise", and the transaction finance. The institution is memorized as "foreign bank", the company size of K website is "small and medium-sized enterprise", and the financial institution is "bank A".

Then, the acquisition unit 53 determines the appropriateness of the correspondence between the "company size" and the "transaction financial institution" of each website (B, J, K).
That is, the "validity" of whether the financial institution is too large or too small is judged according to the size of the company.
In this embodiment, as shown in the storage unit 61, if the company scale is a small and medium-sized company and the financial institution with which it deals is Bank A, it is determined that it corresponds to the business scale, and to that effect, "Company B company scale". It is stored in "Financial institution validity" of "Comparative transaction financial institution information storage unit 61".
On the other hand, if the company size is a small and medium-sized enterprise and the financial institution with which it deals is a foreign bank, it is judged that it does not correspond to the business scale.

Then, the process proceeds to ST24. In ST24, the "subjective objective judgment unit (program) 23" of FIG. 3 operates, and the websites B, J, and K are "subjective websites" or "subjective websites" based on information such as the creators and operators of the websites. It is determined whether it belongs to any of the "objective websites" and stored in the "Company B company size comparison transaction financial institution information storage unit 61" in FIG. 7.
In the present embodiment, the B website is determined to be a subjective website, and the J and K websites are determined to be objective websites, and are stored.

Then, the process proceeds to ST25. In ST25, the "credit information judgment unit (program) 24" in FIG. 3 operates, and in this embodiment, the "company scale (small and medium-sized enterprise)" and "transaction financial institution" of the B website, which is the content of the subjective website. The information of "(Bank A)" and "Financial institution validity (○)" is the objective website K website "Corporate scale (small and medium-sized enterprises)" "Financial institution (Bank A)", "Financial institution validity" Since it matches "Sex (○)", the content of the B website is stored as credit information in the "Company B company size comparison transaction financial institution information storage unit 61" in FIG. 7.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (J and K websites, etc.), only accurate information can be selectively acquired, and reliability can be ensured.
In particular, the creditworthiness of the survey can be improved by determining whether the financial institution corresponds to the business scale (company scale) of company B, which is the subject of the survey.

Now that the information on the financial institution for which the transaction is made in comparison with the company size of company B has been acquired, the "accounting information" of company B is acquired next.
Proceed to ST26. In ST26, the “accounting information acquisition unit (program) 62” in FIG. 7 operates, and the website (for example, B, H, I) is automatically searched, and accounting information such as "accounting data" and "deposit / withdrawal data" of company B described on these websites is acquired and stored in "accounting information storage unit 63 of company B" in FIG. ..

Then, the process proceeds to ST27. In ST27, the "subjective objective judgment unit (program) 23" in FIG. 3 operates, and the websites B, H, and I are "subjective websites" or "subjective websites" based on information such as website creators and operators. It is determined whether it belongs to any of the "objective websites" and stored in the "Company B accounting information storage unit 63" in FIG. 7.
In the present embodiment, the B website is determined to be a subjective website, and the H and I websites are determined to be objective websites, and are stored.

Then, proceed to ST28. In ST28, the "credit information judgment unit (program) 24" of FIG. 3 operates, and in the present embodiment, the information of the "accounting information (F accounting information)" of the B website, which is the content of the subjective website, is used. , Since it matches the "accounting information (F accounting information)" of the I website of the objective website, the contents of the B website are stored as credit information in the "accounting information storage unit 63 of company B" in FIG. To.

As described above, in the present embodiment, even if the information on the website includes information that is generally unreliable, the information on the website of company B, which is the survey target side, is not the survey target side. By determining whether or not the content matches the content of a third party (H and I website, etc.), only accurate information can be selectively acquired, and reliability can be ensured.

Now that the accounting information of company B has been acquired, the "credit information of company B" is generated next.
Proceed to ST29. In ST29, the "credit information generation unit (program) 71" in FIG. 8 operates, and the "accounting information" and "deposit / withdrawal data" of the "accounting information storage unit 63 of company B" in FIG. 7 are displayed. When it is referred to as "credit information", based on these data, future cash flow information such as "profit and loss statement" is generated, and from this cash flow information, credit information of company B is generated, and "B" in FIG. It is stored in the company credit information storage unit 72 ”.

Now that the acquisition and generation of each information for generating the "Comprehensive Credit Information of Company B" regarding Company B has been completed, the "Comprehensive Credit Information of Company B" will be generated below.
Specifically, the process proceeds to ST30. In ST30, the "comprehensive credit information generation unit (program) 73" of FIG. 8 operates, the "basic information storage unit 22" of FIG. 3, the "industry information storage unit 32" of FIG. 4, and the "existence / non-existence information storage unit 34". , Fig. 5 "Position share information storage unit 42", "Same level company information storage unit 44", Fig. 6 "Company B business history comparison capital information storage unit 52", Fig. 7 "Company B company size comparison transaction" With reference to "Financial Institution Information Storage Unit 61", "Company B Accounting Information Storage Unit 63" and "Company B Credit Information Storage Unit 72" in FIG. 8, only the information in the storage unit used as credit information is extracted and shown in FIG. Store in 8 "Comprehensive credit information storage unit 74 of company B".

In this way, by collecting only highly reliable "credit information", it is possible to easily and surely generate "Comprehensive credit information of company B" at low cost.

Then, the process proceeds to ST31. In ST31, the “Comprehensive credit information of company B” of the “Comprehensive credit information storage unit 74 of company B” of FIG. 8 is displayed on the display 13 of FIG.

(Generation process of "Company B business status information")
Hereinafter, the process of generating "Company B business status information" will be described by taking as an example the requester A requesting the generation of "Company B business status information" which is the survey information of the business status survey of Company B.
First, "Investigation of the existence of competitors in the trading products of Company B" is executed as "Business status information of Company B".
Specifically, the process proceeds to ST101 in FIG. In ST101, the “competitor store existence information acquisition unit (program) 81” in FIG. 9 operates, and the industry, store location, etc. are specified based on the “industry information” in the “Comprehensive credit information of company B” in FIG.

Then, the website is automatically searched from these information via the Internet network 2, and whether or not a store or the like in the same industry exists in the neighborhood is searched. If so, the “competitor store existence information storage” in FIG. 9 is stored. It is stored in "Part 82".
This information such as "whether or not a store or the like in the same industry exists in the neighborhood" is information on the existence of competing stores, and is an example of competing information in the same industry.
For example, in the case of a ramen shop, the name, scale, etc. of the management company of the ramen shop existing in the vicinity are the information on the existence of competing shops.

Then, the process proceeds to ST102. In ST102, "competitor advantage / disadvantage information of company B" is generated only when "competitor existence information" exists in ST101.
First, the "competitor advantage / disadvantage information generation unit (program) 83" in FIG. 9 operates, and based on the "competitor store existence information" of the "competitor store existence information storage unit 82", the competing store or the like is the company B. It is determined whether the store is advantageous or disadvantageous, and stored in the "competitor store advantage / disadvantage information storage unit 84" in FIG.
This "competitor advantage / disadvantage information" is an example of competitive advantage / disadvantage information.

In this way, in this embodiment, not only the competitive information of the competitors of the company B but also the competitive advantage / disadvantage information is generated, so that the state of the business of the company B, which is the subject of the investigation, can be grasped more accurately. Can be done.

Next, the superiority topical information of company B is generated. Specifically, the process proceeds to ST103. In ST103, the "superior topical information generation unit (program) 85" shown in FIG. 9 operates, automatically searches the website via the Internet network 2, and determines the amount of information on the website (B) transmitted by company B. Judging the degree of superiority and topicality information in the industry of Company B from the size, etc., the subjective superiority degree information (for example, superior) and the subjective topicality information (for example, intermediate) are obtained in FIG. It is stored in the superiority topical information storage unit 91 ”.

Then, the process proceeds to ST104. In ST104, the generation unit 85 operates, automatically searches websites via the Internet network 2, and B from the amount of information of websites (for example, N websites, etc.) transmitted by others other than Company B. Judging the degree of superiority and topicality information in the company's industry, objective superiority degree information (for example, middle class) and objective topicality information (for example, middle class) are stored in the "superior topicality information memory" in FIG. It is stored in "Part 91".

As described above, regarding the superiority topical information of company B, not only the subjective information of company B but also the objective information of a third party (N website) other than company B is collected.
Then, the process proceeds to ST105. In ST105, the generation unit 85 operates, and the “subjective superiority information”, “subjective topical information”, “objective superiority information”, and “objective superiority information” of the “superior topical information storage unit 91” in FIG. Refer to "objective topical information", compare the degree of information, and if there is a discrepancy, do not use it as "trust information", and if there is no discrepancy, use it as "trust information". Remember in.

In the present embodiment, as shown in the “superior topical information storage unit 91” of FIG. 10, the “subjective superiority information” and the “subjective topical information” are respectively “upper level” on the B website. And "medium". In addition, both "objective superiority information" and "objective topicality information" are "medium".
Therefore, when comparing these, the "moderate" of the "subjective topicality information" of company B has no "deviation" and is reliable information, but the "subjective superiority information" of company B is "dissociation". There is, and it does not become trust information.

As described above, in the present embodiment, not only the subjective information of the company B but also the objective information of the third party is collected for the superiority information and the topical information of the company B to be investigated. , Highly accurate information.

Now that we have obtained the necessary information to generate "Company B business status information", proceed to ST106. In ST106, the “business state information generation unit (program) 92” of FIG. 10 operates, and the “competitor store existence information storage unit 82”, the “competitor store advantage / disadvantage information storage unit 84” of FIG. With reference to the "sex topic sex information storage unit 91", "company B business status information" is generated and stored in the "company B business status information storage unit 93" in FIG.
As for superiority information and topical information, only those judged to be "reliable" will be adopted.

Now that "Company B business status information" is generated, proceed to ST107. In ST107, the “business state information” of the “company B business state information” storage unit 93 of FIG. 10 is displayed on the display 13 of FIG.

As described above, in the present embodiment, by searching the website via the Internet network 2, the highly reliable and accurate "Comprehensive credit information of company B" and "Business status information of company B" can be quickly and accurately obtained. It can be produced easily and at low cost.

It should be noted that the present invention is not limited to the above-described embodiment of the present invention, and even if each of the above-mentioned information is acquired by referring to an authoritative website in each industry.

In the present embodiment described above, the case where it is realized as a device has been described as an example, but the present invention is not limited to this, and the present invention is not limited to this, and as a program that can be executed by a computer, a magnetic disk (floppy (registered)). It may be stored and distributed in a storage medium such as a disk (trademark), a hard disk, etc.), an optical disk (CD-ROM, DVD, etc.), an optical magnetic disk (MO), or a semiconductor memory.

Further, the storage medium may be any storage medium that can store the program and can be read by a computer. The storage format of the storage medium is not particularly limited.

Further, in order to realize this embodiment, an OS (operating system) running on the computer based on instructions of a program installed on the computer from a storage medium, MW (middleware) such as database management software and network software, etc. You may execute a part of each process of.

Further, the storage medium in the present invention is not limited to a medium independent of the computer, and also includes a storage medium in which a program transmitted by a LAN, the Internet, or the like is downloaded and stored or temporarily stored.

Further, the computer in the present invention may be a device consisting of one personal computer or the like, as long as each process in the present embodiment may be executed based on a program stored in the storage medium, or a plurality of devices may be connected to a network. It may be a system or the like.

Further, the computer in the present invention is not limited to a personal computer, but also includes an arithmetic processing device, a microcomputer, etc. included in an information processing device, and is a general term for devices and devices capable of realizing the functions of the present invention by a program. ing.

The embodiment of the present invention has been described above. However, the present invention is not limited to the above embodiment, and various modifications can be made without departing from the scope of claims. The configuration of the above embodiment may be partially omitted or may be arbitrarily combined so as to be different from the above.

1 ... Survey information information system, 2 ... Internet network, 10 ... Survey information information device, 11 ... Control unit, 12 ... Communication device, 13 ... Display, 14 ... Various Information input device, 20 ... first various data storage units, 21 ... basic information acquisition unit, 22 ... basic information storage unit, 23 ... subjective objective judgment unit, 24 ... credit information judgment Department, 30 ... Second various data storage units, 31 ... Industry information acquisition department, 32 ... Industry information storage department, 33 ... Existence / non-existence information acquisition department, 34 ... Existence / non-existence information storage Department, 40 ... 3rd various data storage department, 41 ... position share information acquisition department, 42 ... position share information storage department, 43 ... same level company information acquisition department, 44 ... same Level Corporate Information Storage Department, 50 ... 4th Various Data Storage Department, 51 ... Business History Comparison Capital Information Judgment Department, 52 ... Company B Business History Comparison Capital Information Storage Department, 53 ... Corporate size comparison transaction financial institution information acquisition department, 60 ... 5th various data storage department, 61 ... Company B company size comparison transaction financial institution information storage department, 62 ... accounting information acquisition department, 63 ... -Company B accounting information storage department, 70 ... 6th various data storage departments, 71 ... credit information generation department, 72 ... company B credit information storage department, 73 ... comprehensive credit information generation department, 74 ... Comprehensive credit information storage unit of company B, 80 ... 7th various data storage units, 81 ... Competitive store existence information acquisition department, 82 ... Competitive store existence information storage unit, 83 ... Competitive store advantage / disadvantage information generation unit, 84 ... Competitive store advantage / disadvantage information storage unit, 85 ... Advantageous topical information generation unit, 90 ... Eighth various data storage units, 91 ... Advantage Topic information storage unit, 92 ... Business status information generation department, 93 ... Company B business status information storage department, 100 ... Website management device

Claims (7)

A survey information processing device that searches for survey item information related to survey targets via the Internet.
It is determined whether the survey item information collected by the search is the survey target side information provided by the survey target side or the information other than the survey target side provided by other than the survey target side.
When the specific survey item information that is the survey target side information and the content of the specific survey item information that is information other than the survey target side match, the specific survey item information is stored as survey result information. A research information processing device characterized by this. A claim characterized in that the survey target side information is information provided on a website operated by the survey target, and the existence / non-existence information of the survey target is generated based on the updated information of the website. Item 1. The survey information processing apparatus according to Item 1. The survey item information includes background information and capital change information of the business subject to the survey.
The research information processing apparatus according to claim 1 or 2, wherein it is configured to determine whether or not the capital change information also changes in response to a change in the business history information. .. The survey item information includes the business scale information and the transaction financial institution information to be surveyed.
The research information processing apparatus according to any one of claims 1 to 3, wherein it is determined whether or not the transaction financial institution information corresponds to the business scale information. Identify the industry information to be surveyed from the survey item information,
Generate competitive information of the same industry based on the above industry information,
The research information processing apparatus according to any one of claims 1 to 4, wherein the competitive advantage / disadvantage information is generated based on the competitive information. It is a control method of a survey information processing device that searches for survey item information about a survey target via the Internet.
It is determined whether the survey item information collected by the search is the survey target side information provided by the survey target side or the information other than the survey target side provided by other than the survey target side.
When the specific survey item information that is the survey target side information and the content of the specific survey item information that is information other than the survey target side match, the specific survey item information is stored as survey result information. A control method for a survey information processing device. For survey information processing equipment that searches for survey item information related to survey targets via the Internet.
A function for determining whether the survey item information collected by the search is the survey target side information provided by the survey target side or the information other than the survey target side provided by other than the survey target side.
When the specific survey item information that is the survey target side information and the content of the specific survey item information that is information other than the survey target side match, the specific survey item information is stored as survey result information. A control program for a survey information processing device that is configured to execute a function.

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