JP3743252B2 - Alphabet notation corporate name search system and method, and recording medium recording the processing program - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a technique for searching for an English-language corporate name or the like using a computer system, and in particular, even when an accurate corporate name is not known, it is possible to specify a target or display candidates. The present invention relates to an alphabetical corporate name search system and method, and a recording medium on which the processing program is recorded.
[0002]
[Prior art]
For example, in foreign corporations and trading companies, there are many systems that manage customer information in English using a computer. When performing a search by name in such a system, if only the Japanese corporation name is known but the exact English corporation name is not known, the English corporation name is inferred from the Japanese corporation name, resulting in complete or partial matching. A search will be performed.
[0003]
However, in such a simple character string comparison, there is a possibility that a mismatch occurs between the search condition and the search target due to the following factors.
[0004]
(1) The English character string indicating the corporate case type such as “corporation” or “limited company” in Japanese usually corresponds to “CO., Ltd”, etc., but one-to-one due to differences in legal systems in each country. Can not respond. In addition, an alphabet notation such as “KK” for “corporation” is generally used instead of accurate English.
[0005]
(2) The character string indicating the business type may be simply written in Roman letters or translated into English. In the case of English translation, there can be multiple English translations for the same Japanese industry name.
[0006]
Due to such factors, if a search based on a complete match is performed, there is a possibility that the target corporation cannot be searched. For example, “~ construction” may be simply converted into English, such as “KENSETSU” and the Japanese reading as it is, or “CONSTRUCTION” or “CONSTRUCTIONS”.
[0007]
In addition, if you search for all candidates with matching partial character strings, the number of matching corporations is very large for corporations that belong to the same corporate group or corporation names that are given based on many surnames and place names. Problem arises.
[0008]
[Problems to be solved by the invention]
The problem to be solved is that in the conventional technology, when searching for corporate names written in alphabets such as English, if the character string indicating the type of corporate case or the type of business does not exactly match the search conditions, the target is identified. Alternatively, the candidate cannot be displayed.
[0009]
The object of the present invention is to solve these problems of the prior art, for example, alphabet notation that makes it possible to improve the convenience and performance of a computer system that manages customer information in English characters in a foreign corporation, trading company, etc. It is an object of the present invention to provide a corporate name search system and method, and a recording medium recording the processing program.
[0010]
[Means for Solving the Problems]
In order to achieve the above object, the system and method for searching for an alphabetical corporate name according to the present invention has the configuration shown in FIG. 1, for example, and stores the corporate type code 105a indicating the classification of each corporate case type for each corporate case type name. Using the corporate case type dictionary 105 and the industry name dictionary 106 stored with the industry code 106a indicating the classification of the industry in the industry name, the English corporation name analysis unit 102 and the data registration unit 111 input in advance. The English corporate name (101) is separated into a corporate case type, a business type name, and a corporate unique name, and a corporate case type code 105a and a business type code 106a are assigned and stored as search target data 103, and the input search The same separation process is performed by the English corporate name analysis unit 102 for the condition (English corporate name) 104, and then the English corporate name search unit 107 performs the same separation process. For respective separate parts, and compares the search target data 103. Then, the result is evaluated based on the collation rule 108 defined in advance, and those exceeding a certain standard are extracted as targets. For example, if the corporate unique name and the industry code 106b of the industry name code 106a match, even if the corporate case type code 105a and the business code 106c of the industry name code 106a do not match, it is extracted as a search target.
[0011]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram showing a configuration example of an alphabetical corporate name search system according to the present invention.
[0012]
In FIG. 1, 1 is an input device comprising a keyboard and mouse, 2 is an information processing device comprising a CPU (Central Processing Unit) 2a, a main memory 2b, etc., and performing computer processing in accordance with a storage program system, and 3 and 4 are HDD ( 5 is a display device such as a CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display), and 6 is a CD-ROM (Compact Disc) in which programs and data according to the present invention are recorded. -An optical disc composed of a read only memory (DVD) or a DVD (Digital Video Disc / Digital Versatile Disc), 7 is a drive device for reading a program and data recorded on the optical disc 6, 8 is a LAN (Local Area Network) card or modem And the like.
[0013]
After the program and data stored in the optical disk 6 are installed in the external storage devices 3 and 4 by the information processing device 2 via the drive device 7, they are read from the external storage devices 3 and 4 to the main memory 2b and processed by the CPU 2a. Accordingly, the information processing apparatus 2 is provided with functions such as an English corporate name analysis unit 102, an English corporate name search unit 107, a dictionary / rule registration unit, and a data registration unit 111. The system is configured.
[0014]
The alphabet-incorporated corporate name search system of the present example particularly searches for a corporate name written in English. A specific example is shown in FIG. 6 in advance in the external storage device 3 by the dictionary / rule registration unit 110. A legal personality dictionary 105, an industry name dictionary 106 whose specific example is shown in FIG. 7, and a matching rule 108 whose specific example is shown in FIG. 10 are stored.
[0015]
In FIG. 1, except for the optical disk 6, the drive device 7, and the communication device 8, the left side of the broken line is a part related to the processing for storing the corporate name data to be searched, and the right side of the broken line is input as a search condition. This is a part related to a process for performing a search / inquiry based on a corporate name.
[0016]
When storing data (corporate name), customer data 101 including an English corporate name is input via the optical disc 6, the communication device 8, an FD (Flexible Disk), the input device 1, etc. Referring to the corporate case type dictionary 105 and the business type dictionary 106, the English corporate name is divided into (1) corporate type, (2) business type, and (3) corporate unique name ((1) and (2)). Are stored as search target data 103 in the external storage device 4 by the data registration unit 111.
[0017]
When searching / inquiring data (corporate name), for example, when a user inputs a search condition (English corporate name) 104 from the input device 1, first, the English corporate name analysis 102 is performed in the same manner as in data accumulation. By referring to the corporate case type dictionary 105 and the business type dictionary 106, the English corporate name is separated into (1) corporate type, (2) business type, and (3) corporate unique name, and then English corporate name search The unit 107 extracts data with a matching corporate unique name from the search target data 103, refers to the matching rule 108, determines the degree of coincidence, and the degree of coincidence is equal to or greater than a predetermined value. The data is displayed as a search result 109 on the screen of the display device 5.
[0018]
The processing operation of the alphabet-incorporated corporate name search system configured as described above will be described below with reference to FIG.
FIG. 2 is a flowchart showing an example of the processing operation of the alphabetical corporate name search method according to the present invention.
[0019]
This example shows an example of processing operation of the alphabet-incorporated corporate name search system in FIG. 1. In FIG. 2, the corporate name analysis procedure by the alphabet-indicated corporate name search system in FIG. 1 is largely divided into three step operations. It is divided.
[0020]
The first is the English corporate name formatting process in step 301. In this process, as shown in detail in FIG. 3, (1) capitalization of the English character, (2) replacement of the symbol with a blank, (3) Replaces consecutive blanks with a single blank.
The second is a legal case type separation process in step 401. In this process, as shown in detail in FIG. 4, a character string representing the legal case type is separated.
The third is the industry name separation process in step 501. In this process, as shown in detail in FIG. 5, character strings representing the industry name are separated.
[0021]
In this way, the character string remaining after separating the corporate case type and the business type name is used as the corporate unique name.
Hereinafter, details of each of the processes in steps 301, 401, and 501 will be described with reference to FIGS.
[0022]
FIG. 3 is a flowchart showing details of the English corporate name shaping process in step 301 in FIG. 2, FIG. 4 is a flowchart showing details of the corporate case type separation process in step 401 in FIG. 2, and FIG. 5 is in FIG. FIG. 6 is an explanatory diagram showing a specific example of the corporate case type dictionary of FIG. 1 used in the corporate case type separation process in FIG. 4, and FIG. 7 is a business type in FIG. It is explanatory drawing which shows the specific example of the industry name dictionary of FIG. 1 used by a name separation process.
[0023]
In the process of step 301 in FIG. 3 (English corporate name shaping process), the processes in the following steps 302 to 306 are repeated while shifting the English corporate name character by character from the beginning to the end.
[0024]
First, in the process of step 302, the alphabetic characters are converted to uppercase letters, and then in the process of step 303, each symbol is replaced with a blank. Further, in the processes of steps 304 to 306, consecutive blanks are replaced with one blank. That is, in the process of step 304, it is determined whether or not the character set immediately before is blank and the character set this time is also blank. If it is blank, the process proceeds to step 305 and the next character is processed without doing anything. If it is not blank, the process of step 306, that is, the character after replacement is shaped and moved to an alphanumeric name.
[0025]
In the process of step 401 in FIG. 4 (corporate case type separation process), the process in steps 402 to 410 for comparing the corporate case type in the corporate case type dictionary 105 in FIG. If a corporate case type is found or a matching corporate case type is found repeatedly until the end of the corporate case type dictionary 105, the character string is separated as an industry name.
[0026]
Normally, the character string indicating the corporate case type is written at the end of the corporate name in the case of English notation (CO., LTD, etc.). However, when a Japanese corporate personality type is written in Roman letters, such as “KK”, it may be written forward. Therefore, as indicated by the corporate case type dictionary 105 in FIG. 6, it is registered in advance whether or not “front addition” and “rear addition” are permitted as the corporate case type to be searched.
[0027]
Then, in the first step 402, it is determined whether backward addition is permitted. If permitted, the legal case type in the legal case type dictionary 105 and the input English corporate name are identified in the step 403. The character strings are compared, and it is determined whether or not the character strings match in the process of step 404.
[0028]
If they match, the process proceeds to step 405 where the character string is separated from the English corporate name as the legal case type and the “corporate case type code” in the legal case type dictionary 105 shown in FIG. 6 is stored. If they do not match, or if it is determined in step 402 that the backward addition is not permitted, it is determined in step 406 whether forward addition is permitted.
[0029]
If permitted, the process proceeds to step 407, the corporate case type dictionary in the corporate case type dictionary 105 is compared with the backward character string of the English corporate name, and whether or not each character string matches in the process of step 408 is determined. judge.
[0030]
If they match, the process proceeds to step 409, where the character string is separated from the English corporate name as the legal case type, and “corporate case type code 105a” in the legal case type dictionary 105 shown in FIG. 6 is stored. If they do not match, or if it is determined in the determination process in step 406 that the top addition is not permitted, the process in step 410 moves to the process of the corporate case type in the next corporate case type dictionary 105.
[0031]
In the process of step 501 in FIG. 5 (industry name separation process), the industry name in the industry name dictionary 106 shown in FIG. 7 is compared with the back character string of the input English corporation name (after separation of the corporate case type). , Until a matching business name is found or until the end of the business name dictionary 106.
[0032]
For most corporations, the name of the business type is (1) immediately before the corporate case type is listed at the back, and (2) at the end when the corporate case type is listed at the front. be written. For this reason, in the separation of industry names, only the back character string of the English corporate name (after separation of the corporate case type) is searched.
[0033]
First, in the process of the first step 502, the industry name in the industry name dictionary 106 shown in FIG. 7 is compared with the backward character string of the input English corporation name, and whether or not the character string matches in the process of step 503. Determine whether.
[0034]
If they match, the process in step 504 separates the character string from the English corporate name as the business name, stores the “business name code 106a” in the business name dictionary 106 shown in FIG. 7, and must match. For example, the processing in step 505 moves to the processing of the industry name in the next industry name dictionary 106.
Note that the English corporate name after the separation of the industry name by the processing in step 504 is stored as a corporate unique name.
[0035]
Hereinafter, the English corporate name analysis operation will be specifically described with reference to FIG.
[0036]
FIG. 8 is an explanatory diagram showing a specific example of the processing operation of the English corporate name analysis unit in FIG.
In FIG. 8, reference numeral 801 denotes an English corporate name included in the customer data 101 including the English corporate name in FIG. 1, and more specifically, “ABC Constructions”.
CO. , LTD. "
[0037]
For the English corporate name 801, the English corporate name analysis unit 102 in FIG. 1 first performs an English corporate name shaping process in step 301 shown in FIGS. 2 and 3 to generate an English corporate name 802 after shaping. . Here, “ABC CONSTRUCTIONS CO LTD” is converted to all capital letters, and each symbol “.”, “,” Is converted to a space (blank), and consecutive spaces are deleted and formatted. Yes.
[0038]
Next, the corporate case type separation process of step 401 shown in FIGS. 2 and 4 is performed to obtain the corporate case type code 803. Here, “CO LTD” is separated as the corporate case type, and “113” is obtained as the corporate case type code 803 in accordance with the contents of the corporate case type dictionary 105 (corporate case type code 105a) shown in FIG.
[0039]
Further, the business name separation process of step 501 shown in FIG. 2 and FIG. 5 is performed on the remaining corporate unique name from which the “CO LTD” legal personality type is separated, here “ABC CONSTRUCTIONS”, and the business name code 804 is acquired. Here, “CONSTRUCTIONS” is separated as the business name, and “0101” is acquired as the business name code 804 in accordance with the contents of the business name dictionary 106 (business name code 106a) shown in FIG.
[0040]
The English corporate name data 805 including the corporate case type and the corporate case type code and the business type name and business type code separated and acquired in this way is registered as the search target data 103 in FIG.
Next, an English corporate name search operation using the search target data 103 in which the English corporate name data 805 and the like are registered in this way, that is, an example of the processing operation according to the present invention of the English corporate name search unit 107 in FIG. Will be explained.
[0041]
9 is a flowchart showing an example of processing operation of the English corporate name search unit in FIG. 1, FIG. 10 is an explanatory diagram showing a specific example of the matching rule in FIG. 1, and FIG. 11 is an English corporate name search in FIG. It is explanatory drawing which shows the specific example of the processing operation by a part.
[0042]
9, the search condition (English corporate name) 104 is input from the input device 1 in FIG. 1, and the English corporate name analysis unit 102 in FIG. This is processing after the processing described with reference to FIG.
[0043]
First, the comparison between the search condition (English corporate name) 104 and the search target data 103 is performed in the unit of the corporate unique name, corporate case classification code, and industry name code decomposed by the English corporate name analysis unit 102 by the comparison processing in step 901. I do. Next, the comparison result is referred to a rule defined in advance in the rule matching 902 whose details are shown in FIG. 10, and it is determined whether or not the search target data 103 is to be extracted.
[0044]
Hereinafter, such processing operation will be described using a specific example shown in FIG.
In FIG. 11, the English corporate name 1101 and the English corporate name data 1102 are the English corporate name 801 included in the customer data 101 including the English corporate name in FIG. 1 described in FIG. This is the same as the corporate name data 805.
[0045]
1104 is an English corporate name shaping process shown in FIGS. 2 and 3 by the English corporate name analysis unit 102 in FIG. 1 (step 301) for the search condition (English corporate name) 104 input from the input device 1 in FIG. ) Is an English corporate name after shaping, showing a specific example of the result of the), and here, the English corporate name 1104 after shaping is “KK ABC”
“KENSETSU”.
[0046]
Reference numeral 1103 denotes English corporate name data obtained by the processes of FIGS. 2, 4 and 5 by the English corporate name analysis unit 102 in FIG. 1 for the English corporate name 1104. The corporate proper name “ABC” Each code is acquired and assigned to “KK”, corporate case type code “121”, industry name “KENSETSU”, and industry name code “0101”.
[0047]
In the English corporate name search operation in which the English corporate name data 1103 and the English corporate name data 1102 are collated, for example, the corporate unique names are both “ABC”, and the comparison result is “match”. Become. Regarding the corporate case types, the corporate case types are “CO LTD” and “KK”, and the corporate case type codes are “113” and “121”, respectively, which are “mismatched”.
[0048]
In addition, regarding the industry name, “CONSTRUCTIONS” and “KENSETSU” are different, but “0101” in the industry name code matches all four digits.
[0049]
Based on such a comparison result, the collation rule 108 shown in FIG. 10 is referred. According to the matching rule 108, as shown in the condition column 108a, even if the corporate case type code does not match (“N” in the figure), the upper and lower two digits of the corporate unique name and the industry name code match (see FIG. "Y" in the figure corresponds to the case of "1" in the figure, and is the extraction target in the processing column 108b ("◯" in the figure). Therefore, the search target data is an extraction target.
[0050]
As shown in the case of “2” of the matching rule 108 in FIG. 10, if the corporate unique name matches the industry code 106b of the industry name code 106a shown in FIG. 7, the corporate personality type code 105a in FIG. Even if the business condition code 106c in the business name code 106a in FIG. 7 does not match, it is extracted as a search target.
[0051]
As described above with reference to FIGS. 1 to 11, in the corporate name search system and method of the alphabetical notation of this example, the corporate type code 105 a indicating the classification of each corporate case type is assigned and stored for each corporate case type name. Using the corporate case type dictionary 105 and the industry name dictionary 106 stored with the industry code 106a indicating the classification of the industry in the industry name, the English corporation name analysis unit 102 and the data registration unit 111 input in advance. The English corporate name (customer data 101 including the English corporate name) is separated into a corporate case type, a business type name, and a corporate unique name, and a corporate case type code 105a and a business type code 106a are assigned and stored as search target data 103. Keep it.
[0052]
Then, the same separation process is performed by the English corporate name analysis unit 102 on the input search condition (English corporate name) 104, and thereafter, the English corporate name search unit 107 determines the search target data 103 for each separated part. Make a comparison. The result is evaluated based on a pre-defined matching rule 108, and those exceeding a certain standard are extracted as targets. For example, if the unique name and the industry code 106b of the industry name code 106a match, even if the corporate case type code 105a and the business code 106c of the industry name code 106a do not match, it is extracted as a search target.
[0053]
As a result, when searching for a corporate name written in English, even if the character string representing the type of corporate case or the type of business in the English corporate name in the search condition does not exactly match the search target data 103, the target is specified. Alternatively, candidates can be displayed.
[0054]
In addition, this invention is not limited to the example demonstrated using FIGS. 1-11, In the range which does not deviate from the summary, various changes are possible. For example, in this example, the corporate name in English is described as an example, but the present invention can also be applied to other alphabetical corporate names such as German, French, Italian, and Dutch.
[0055]
In this example, as shown in FIG. 1, the search target data 103 is stored in the external storage device 4 different from the legal personality type dictionary 105, the industry name dictionary 106, and the matching rule 108, but the same external storage is used. The storage in the device 3 may be performed, or different storage devices may be used.
[0056]
In this example, the optical disk 6 is used as a recording medium, but an FD may be used as a recording medium. As for the program installation, the program may be downloaded and installed via the network via the communication device 8.
[0057]
【The invention's effect】
According to the present invention, when searching for a corporate name written in alphabets such as English, even if the character string representing the type of corporate case or the business type does not exactly match the search condition, the search target specification or candidate display is displayed. For example, it is possible to improve the convenience and performance of a computer system that manages customer information in English characters in a foreign corporation or trading company.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration example of an alphabetical corporate name search system according to the present invention.
FIG. 2 is a flowchart showing an example of the processing operation according to the present invention of the alphabetical corporate name search system in FIG.
FIG. 3 is a flowchart showing details of an English corporate name shaping process in step 301 in FIG. 2;
4 is a flowchart showing details of a legal case type separation process in step 401 in FIG. 2;
FIG. 5 is a flowchart showing details of an industry name separation process in step 501 in FIG. 2;
6 is an explanatory diagram showing a specific example of the corporate case type dictionary of FIG. 1 used in the corporate case type separation process in FIG. 4;
7 is an explanatory diagram showing a specific example of the industry name dictionary of FIG. 1 used in the industry name separation process in FIG. 5;
8 is an explanatory diagram showing a specific example of the processing operation of the English corporate name analysis unit in FIG. 1. FIG.
FIG. 9 is a flowchart showing an example of processing operation of an English corporate name search unit in FIG. 1;
10 is an explanatory diagram showing a specific example of the collation rule in FIG. 1. FIG.
11 is an explanatory diagram showing a specific example of the processing operation by the English corporate name search unit in FIG. 1; FIG.
[Explanation of symbols]
1: input device, 2: information processing device, 2a: CPU, 2b: main memory, 3, 4: external storage device, 5: display device, 6: optical disk, 7: drive device, 8: communication device, 101: Customer data including English corporate name, 102: English corporate name analysis unit, 103: Search target data, 104: Search condition (English corporate name), 105: Corporate personality type dictionary, 105a: Corporate personality type code, 106: Industry name dictionary, 106a: industry name code, 106b: industry code, 106c: business type code, 107: English corporate name search unit, 108: collation rule, 108a: condition, 108b: processing, 109: search result, 110: dictionary / rule registration unit, 111: Data registration unit, 801: English corporate name, 802: English corporate name after shaping, 803: Corporate case type code, 804: Industry name code, 805: English corporate name data , 1101: English company name, 1102: English company name data, 1103: English company name data, 1104: English corporate name after the shaping.

Claims (5)

A system for searching for a corporate name including an alphabetical corporate name and a business name and a unique name using a computer comprising a storage device and a central processing unit,
A first dictionary registration means for previously registering a plurality of corporate personality type names representing the same corporate personality type with different character strings in association with identification information of the corporate personality type in advance in the storage device as a legal personality type dictionary;
A second dictionary registration means for previously registering a plurality of industry names representing the same industry with different character strings in association with identification information of the industry in advance as an industry name dictionary in the storage device;
When the corporate name is input, the corporate case type dictionary and the business type name dictionary are read from the storage device and referred to, and the corporate case type and business type included in the input corporate name are separated from the unique name and specified. Data registration means for acquiring each identification information of the specified corporate personality type and business type, assigning each acquired identification information to a separate corporate personality type and business type, and registering it as a search target data together with a unique name;
If at least the unique name of the corporate name entered as the search condition and the business type identification information match the business name unique name and the business type identification information registered as search target data by the data registration means, the search condition Rule registration means for preliminarily registering in the storage device a matching rule that is conditioned as a correspondence between the input corporate name and the corporate name registered as the search target data;
When a corporate name as a search condition is input, the corporate case type dictionary and the business type dictionary are read from the storage device and referred to, and the corporate case type and the business type included in the corporate name input as the search condition are specified. The identification information of the specified corporate case type and business type is acquired separately, and the comparison between each acquired identification information and the separated unique name is referred to the matching rule registered by the rule registration means. And a search means for extracting, from the search target data, a corporate name in which the unique name and the business type identification information match even if the identification information of the corporate case type does not match. Name search system. A method of searching for a corporate name including a corporate case type name and an industry name and a unique name written in alphabet using a computer comprising a storage device and a central processing unit,
A first step of previously registering a plurality of corporate personality type names representing the same corporate personality type with different character strings in association with identification information of the corporate personality type in the storage device in advance as a legal personality type dictionary;
A second step of previously registering a plurality of industry names representing the same industry with different character strings in association with identification information of the industry in advance as an industry name dictionary in the storage device;
When the corporate name is input, the corporate case type dictionary and the business type name dictionary are read from the storage device and referred to, and the corporate case type and business type included in the input corporate name are separated from the unique name and specified. A third step of acquiring each identification information of the specified corporate personality type and business type, assigning each acquired identification information to a separate corporate personality type and business type, and registering it as search target data together with a unique name;
If at least the unique name of the corporate name entered as a search condition and the identification information of the industry match the unique name of the corporate name registered as the search target data and the identification information of the industry, the corporation entered as the search condition A fourth step of previously registering in the storage device a matching rule that is conditioned as a name corresponding to a corporate name registered as the search target data;
When a corporate name as a search condition is input, the corporate case type dictionary and the business type dictionary are read from the storage device and referred to, and the corporate case type and the business type included in the corporate name input as the search condition are specified. The identification information of the identified corporate case type and type of business is acquired separately, and the comparison between each acquired identification information and the separated unique name is referred to the matching rule registered in the storage device. And a fifth step of extracting, from the search target data, a corporate name in which the unique name and the business type identification information match even if the identification information of the corporate case type does not match. Corporate name search method . It is the alphabet notation corporate name search method according to claim 2 ,
Convert the character string of the corporation name entered above to uppercase,
Replace all symbols in the entered corporate name with spaces,
Deleting the consecutive spaces into one, and shaping the character string of the input corporate name,
A method for retrieving a corporate name in alphabetical form, characterized in that the processing in each of the above steps is performed with a shaped corporate case type, a business type and a unique name. A method for searching an alphabetical corporate name according to claim 2 or claim 3 ,
The above-mentioned corporation name is written in English. This is a recording medium for recording a processing procedure program of a method of searching for a corporate name including a corporate case type name, an industry name and a unique name written in alphabet using a computer including a storage device and a central processing unit in a readable manner on the computer. And
The steps of the kanji company name search method according to claims 2 to claim 4, a computer-readable recording medium characterized by recording a program to be executed by the computer.

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