JP7272037B2 - Information processing device and program - Google Patents

Description

The present invention relates to an information processing apparatus and program.

Conventionally, when you want to automatically extract item values from documents such as quotations and contracts, if you know the item name corresponding to the item value, specify the position of the item name on the document, and specify the specified item name. There have been proposed techniques for extracting description contents having a predetermined positional relationship with , as item values (for example, Patent Literatures 1 and 2).

For example, when managing quotations according to the rule that the quotation number, whose item value is the identification information of the quotation, is stored as the name of the storage location, extract the quotation number from the quotation by the method described above. , create a storage location with the same name as the quotation number, and then store the quotation.

JP 2018-037036 A JP-A-2007-233913

In the prior art, unless the item name corresponding to the document identification information is known, and the item name and the document identification information are in a known relationship, such as a standard document, the document It was not always possible to correctly extract the identification information of

When a document is stored in a storage destination having the same name as the document identification information, the present invention is based on the relationship between the document of the same type as the document to be stored and the storage destination name of the storage destination of the document of the same type. The purpose is to specify the storage destination of the document to be stored.

An information processing apparatus according to the present invention comprises an acquisition unit for acquiring a document to be stored in a storage destination; a character string commonly described in the plurality of stored documents near the identification information that matches the storage location name of the storage location of the stored document, the identification information a naming rule extracting means for extracting a naming rule common to the storage destination names of the storage destinations in which the plurality of stored documents are respectively stored; and the acquisition means determines a character string described near the item name described in the acquired document and matching the naming rule as the storage destination name of the storage destination of the document to be stored. and determining means.

Further, the item name extracting means is characterized in that, when extracting a plurality of character strings as candidates for the item name of the identification information, the accuracy as the item name of the identification information is calculated for each character string.

Further, the determination means determines the item name corresponding to the identification information of the document by referring to the storage location name of the storage location where the plurality of stored documents are stored.

Further, the naming rule extracting means is characterized in that, when extracting a plurality of naming rules, the accuracy as a rule is calculated for each naming rule.

Also, the determining means presents the accuracy of each of the naming rules calculated by the naming rule extracting means to the user.

In addition, when a document of a type different from the document to be stored is also stored in the storage location where the plurality of stored documents are respectively stored, the item name extraction means stores the document in the storage location. A document whose document type name described in the stored document indicates the document type of the document to be stored is extracted as the plurality of stored documents.

Further, the determining means determines that, among the storage destinations storing the plurality of stored documents, there is a storage destination in which a document of the same type as the document to be stored is not registered. In one case, the storage destination name of the storage destination is used as a candidate for the storage destination name of the storage destination of the document to be stored.

A program according to the present invention comprises a computer, an acquisition means for acquiring a document to be stored in a storage destination, a character string commonly described in the plurality of stored documents near the identification information that matches the storage location name of the storage location of the stored document, the identification information item name extracting means for extracting as the item name of the stored document, naming rule extracting means for extracting a naming rule common to storage destination names of the storage destinations in which the plurality of stored documents are respectively stored, and the obtaining means obtains Determining means for determining a character string described near the item name described in the document and matching the naming rule as a storage destination name of the storage destination of the document to be stored. , to function as

According to the first aspect of the invention, when a document is stored in a storage destination having the same name as the identification information of the document, the document of the same type as the document to be stored and the storage destination of the document of the same type are stored. The storage destination of the document to be stored can be specified from the relationship with the storage destination name.

According to the second aspect of the invention, the accuracy of each character string as an item name can be provided as an index value when determining the item name of identification information.

According to the third aspect of the invention, by referring to the relationship between the stored document and the name of the storage location of the stored document, the item name corresponding to the identification information of the document to be stored is determined. can decide.

According to the fourth aspect of the invention, the accuracy of each naming rule as a rule can be provided to the determining means as an index value when determining the item name of the identification information.

According to the fifth aspect of the invention, the user can select the storage destination name of the storage destination of the document to be stored, referring to the accuracy of each naming rule.

According to the sixth aspect of the invention, even if a document of a different type is stored in a storage destination storing a document of the same type as a document to be stored, a correct storage destination name can be obtained. can.

According to the seventh aspect of the invention, it is possible to determine the storage location name of the storage location of the document to be stored by narrowing down the storage location name candidates.

According to the eighth aspect of the invention, when a document is stored in a storage destination having the same name as the identification information of the document, the document of the same type as the document to be stored and the storage destination of the document of the same type are stored. The storage destination of the document to be stored can be specified from the relationship with the storage destination name.

1 is a block configuration diagram showing an embodiment of an information processing device according to the present invention; FIG. 4 is a flow chart showing storage destination determination processing in the present embodiment. FIG. 4 is a diagram showing an example of a written estimate that is a document to be stored in this embodiment; FIG. 4 is a diagram showing the structure of a storage area for a written estimate in the present embodiment; FIG. 10 is a diagram showing an example of a written estimate corresponding to a stored document in the present embodiment; FIG. FIG. 4 is a diagram showing the structure of a storage area for a written estimate after the written estimate, which is a document to be stored in the present embodiment, is stored in a folder; 3 is a diagram showing the structure of a document storage area in this embodiment; FIG. FIG. 11 is a diagram showing another structure of a quotation storage area in the embodiment;

Preferred embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a block configuration diagram showing an embodiment of an information processing apparatus 10 according to the present invention. Information processing apparatus 10 according to the present embodiment can be realized by a computer such as a general-purpose personal computer (PC). That is, the information processing apparatus 10 has storage means such as a CPU, a ROM, a RAM, and a hard disk drive (HDD), and a network interface when acquiring a document to be processed via a network. When reading content from a computer-readable recording medium such as a CD-ROM or USB memory, it is necessary to provide an external interface for that purpose. Further, the information processing apparatus 10 needs to exchange information with the user, so it has a user interface such as a mouse, keyboard, and display. Alternatively, a network interface may be provided when exchanging information with a user via a network.

The information processing apparatus 10 according to the present embodiment includes a storage location identification request reception unit 11, a related document information acquisition unit 12, an analysis unit 13, a folder name determination unit 14, an item name candidate information storage unit 15, and a naming rule storage unit 16. have. Constituent elements that are not used in the description of this embodiment are omitted from the drawing. The information processing apparatus 10 according to the present embodiment is an information processing apparatus having a function of automatically determining a storage location name of a document to be processed in response to a storage location specification request from a user. As shown in FIG. 1, the information processing apparatus 10 does not need to be provided with a storage means as a document storage destination. In the present embodiment, it is assumed that a document management system external to the information processing apparatus 10 is provided with a storage destination for documents to be processed. Of course, it may be a storage destination of a document to be processed by the information processing apparatus 10 .

By the way, in a company, when purchasing goods, it is common to request quotations from candidate companies through the purchasing department, etc., and decide whether to purchase based on the quotation responses from the candidate suppliers. target. In general, the purchasing department assigns an estimate number as identification information for identifying the estimate sheet for each estimate request in order to manage responses and subsequent orders. In the document management system described above, it is assumed that a folder is already created for each quotation, and the same name as the quotation number of each quotation is used as the storage destination name of the quotation. It is assumed that In other words, the folder name of the folder storing each quotation is the quotation number of the quotation.

In the present embodiment, the quotation sent from the quotation requester is used as an example of a document, and the quotation number of the quotation is used as the identification information of the document. The quotation number is one of the item values described in the quotation, and is always written in the quotation. However, it is unclear where the quotation number is written in each quotation. In addition, the item name associated with the item value of quotation number and the positional relationship between the item name and the item value are also unknown. In other words, in this embodiment, documents other than standard documents can also be processed.

The storage destination identification request reception unit 11 acquires a document to be stored in the storage destination and the text type of the document. The related document information acquisition unit 12 acquires information related to the document (hereinafter also referred to as “storage target document”) acquired by the storage destination identification request reception unit 11 as related document information. A document related to a document to be stored means a document of the same type as the document to be stored and already stored in a storage destination (hereinafter also referred to as a "stored document"). The related document information acquisition unit 12 acquires the storage location name of the storage location of each stored document as information related to the stored document, that is, related document information.

The analysis unit 13 analyzes the related document information acquired by the related document information acquisition unit 12 to extract candidate item names and a naming rule for storage destination names of stored documents. The analysis unit 13 includes an item name candidate extraction unit 131 and a naming rule extraction unit 132 . The item name candidate extraction unit 131 extracts item name candidates by analyzing the related document information and stores them in the item name candidate information storage unit 15 . The naming rule extraction unit 132 extracts a naming rule common to the names of the storage locations in which the stored documents are respectively stored, and stores it in the naming rule storage unit 16 .

The folder name determination unit 14 refers to the item name candidates extracted by the item name candidate extraction unit 131 and the naming rule to determine the storage location name of the storage location of the document to be stored.

Each component 11 to 14 in the information processing apparatus 10 is realized by cooperative operation of a computer that forms the information processing apparatus 10 and a program that runs on a CPU installed in the computer. Moreover, each of the storage units 15 and 16 is implemented by an HDD mounted on the information processing apparatus 10 . Alternatively, RAM or external storage means may be used via a network.

The program used in the present embodiment can be provided not only by communication means but also by being stored in a computer-readable recording medium such as a CD-ROM or USB memory. A program provided from a communication means or a recording medium is installed in a computer, and various processes are realized by the CPU of the computer sequentially executing the program.

As described above, the information processing apparatus 10 according to the present embodiment automatically determines the storage location name of the storage location of the storage target document by analyzing the related document information of the stored document related to the storage target document. This characteristic storage location determination process will be described below with reference to the flowchart shown in FIG. In addition, as described above, the case of handling a written estimate as a document will be described as an example.

It is assumed that a user (here, assumed to be an employee of a certain company) requests the company to prepare an estimate, and receives an estimate sent in response to this request. It should be noted that the quotation handled in the present embodiment is document data converted into electronic data. In this embodiment, it is assumed that all documents are handled in a common file format, for example, a PDF file format.

The storage location identification request reception unit 11 receives a storage location identification request by obtaining a quotation for which the storage location is to be identified from the user (step 101). At this time, if the user also specifies that the type of the document is an estimate, the storage destination specification request receiving section 11 recognizes that the type of document specified is an estimate (step 102). FIG. 3 shows an example of the content of a quotation that is a document to be stored. As described above, an estimate number "180005" for identifying the estimate is described in the estimate as a document to be stored.

In this embodiment, the quotation is obtained from the user, but the quotation may be obtained directly from the company that created the quotation. Alternatively, the document type may be recognized by analyzing the content of the received document without requiring the user to specify the document type. In general, the phrase specifying the document type is easy to specify because it is written at the top of the document as the title of the document.

When the document type of the document to be stored is recognized, the related document information acquisition unit 12 identifies the root folder of the storage destination of the document corresponding to the document type from the document type. If the document type is specified as an estimate, the root folder "estimate reply folder" is identified. Then, the related document information acquisition unit 12 acquires the documents stored in the folders under the root folder, that is, the quotations already stored in the folder (file name is "quotation reply form.pdf") and each quotation folder. Name is acquired as related document information (step 103). Note that the storage location name and the folder name are synonymous. In the following description, if the storage means in which documents are stored is referred to as a "document database", FIG. 4 shows the structure of the quotation storage area in this document database. Also, FIG. 5 shows an example of the content of the quotation already stored in the document database.

As shown in FIGS. 4 and 5, quotations received from other companies (A, B, and C companies) before receiving a quotation that is a document to be stored from the company (D company) are , is a stored document already stored under the root folder of the quotation named "Quotation Reply Folder" in the document database. Each quotation corresponding to the stored document is stored in a folder whose folder name is the quotation number of each quotation.

In addition, as shown in FIG. 5, the format of the quotation received from each company is not standardized. The positional relationship with "Quotation number:", which is the item name corresponding to the value, is also not uniform. In FIG. 5, the item names corresponding to the quotation numbers, which are item values, are all the same, but the item names are not always the same.

When the related document information acquisition unit 12 acquires related document information from the document database by referring to the document type, the analysis unit 13 analyzes the related document information to obtain item name candidates and folder name naming rules as follows. and extract.

First, the item name candidate extraction unit 131 in the analysis unit 13 identifies the quotation number in the quotation from the folder name corresponding to the quotation, which is each stored document. Note that the folder name and the quotation number are the same. Then, the item name candidate extraction unit 131 identifies the description position of the quotation number in each quotation by performing image analysis. This identified quotation number is one of the item values described in the quotation. Subsequently, the item name candidate extracting unit 131 extracts a character string located near the identified quotation number, and extracts an item name candidate based on the relationship between the quotation number and the extracted character string (step 104).

For example, according to the quotation shown in FIG. 5(a), near the quotation number, there is a character string "quotation number:" above and a character string "2019 XX month x date" below. Therefore, in FIG. 5A, "Quotation number:" and "2019 XX month x day" can be extracted as item name candidates. Further, according to the quotation shown in FIG. 5(b), near the quotation number, there is a character string "quotation number:" on the left, and a character string "quotation" below. Therefore, in FIG. 5B, "Quotation number:" and "Quotation" can be extracted as item name candidates. Also, according to the quotation shown in FIG. 5(c), there is a character string "Quotation number:" on the left near the quotation number, and below it is "I will answer as follows." I have a string. Therefore, in FIG. 5(c), "Quotation number:" and "I will reply as follows" can be extracted as item name candidates.

Here, according to the quotation shown in FIG. 5(a), there is a character string "quotation" in the diagonally upper left direction of the quotation number which is the item value. This character string may be closer to the quotation number than the lower "2019 XX month x day". In other words, it may be considered to be located near the quotation number. However, the positional relationship between the item name and the item value is usually not oblique. Usually, it is considered to be positioned either up, down, left, or right. Also, since there is "Quotation number:" directly above the quotation number, it is unthinkable that the item name of the quotation number will be "Quotation sheet" located beyond "Quotation number:". In this way, even if the positional relationship is simply close to the item value "Quotation number", it is positioned relative to the item value, i.e., is positioned above, below, left and right, and is between the item value and another character string. Extracts strings that do not exist as candidates for item names. In the present embodiment, the term “nearby” does not only mean close in terms of distance, but also takes into consideration the positional relationship with other character strings.

Similarly, in FIG. 5(c), "Quotation" may be directly above the quotation number, but the character string "Z Co., Ltd." exists diagonally to the upper left of the quotation number. In other words, "Quotation" is not extracted as an item name candidate because it is located beyond "Z Corporation". Since "Z Co., Ltd." is located diagonally from the quotation number, it is not extracted as an item name candidate.

As described above, in this embodiment, the character strings positioned immediately above, immediately below, immediately left, and immediately right of the quotation number, which is the item value, are extracted as item name candidates.

Furthermore, there is no character string between "I will reply as follows" shown in FIG. It's a string and should be in the immediate vicinity of the item value. Therefore, character strings that are not located near item values are not used as item name candidates. Whether or not it corresponds to "neighborhood" in terms of distance may be determined by comparison with an index value indicating a predetermined distance relationship. As an index value indicating the distance relationship, for example, a threshold value indicating the number of pixels is set in advance. If the character string extracted from the quotation is separated from the item value by more than the threshold value, the character string is regarded as not located near the item value and is not extracted as an item name candidate.

Also, a threshold indicating the number of rows is set in advance. Then, the font size of the character string or item value is specified, and the line spacing between the character string and the item value is calculated by referring to the font size. If the line spacing is greater than the threshold, the character string is regarded as not located near the item value and is not extracted as an item name candidate. Similarly, a threshold value indicating the number of characters is set in advance, and if the number of characters between the character string and the item value is more than the threshold, the character string is considered not to be located near the item value and is used as a candidate for the item name. It is possible not to extract.

Furthermore, a predetermined ratio (ratio) is set in advance. Then, specify the paper size of the quotation, and if the distance between the character string and the item value is greater than the value obtained by multiplying the paper size by the ratio, the character string is considered not to be near the item value, and the item name is not extracted as a candidate for

As described above, the item name candidate extracting unit 131 determines whether or not the candidate is located in the vicinity of the quotation number, which is the item value, according to the positional relationship and the distance relationship with the quotation number, which is the item value, and extracts the item name candidate. Extract.

After the item name candidates are extracted, the item name candidate extraction unit 131 analyzes the position of each item name candidate with respect to the item value (that is, the quotation number). In other words, the position regularity between item names and item values is extracted (step 105).

For example, by analyzing the quotation shown in FIG. 5A, the item name candidate extraction unit 131 finds that the character string “quotation number:” is located three pixels above the quotation number “180001”, and the character string Recognize that the column “XX, 2019” is positioned 30 pixels below. Further, by analyzing the quotation shown in FIG. 5B, the item name candidate extraction unit 131 finds that the character string "quotation number:" is located 3 pixels to the left of the quotation number "180002". Recognize that the string "quote" is located 15 pixels below. Similarly, by analyzing the quotation shown in FIG. 5(c), the item name candidate extraction unit 131 finds that the character string “quotation number:” is located 5 pixels to the left of the quotation number “180007”. Recognize.

From such a positional relationship, for example, the character string "Quotation number:" has a 100% probability of existing within 5 pixels in any direction from the quotation number, which is the item value. The position regularity is extracted for each item name candidate, such as the probability that the column "Quotation" exists within 25 pixels of the top, bottom, left, and right of the item value, the quotation number, is 67%. . In the present embodiment, the accuracy of the item value as the item name is calculated for each item name candidate, such as 100% and 67% described above. The item name candidate extraction unit 131 provides the accuracy of the positional regularity in each item name candidate as an index value when the folder name determination unit 14 determines the folder name.

As shown in FIGS. 5(a) to 5(c), there is a possibility that words with the same meaning may fluctuate in notation such as "quote" and "estimate". In consideration of this variation in notation, it is preferable to extract the positional regularity for each item name candidate after aggregating the character strings indicating the same meaning.

As described above, the item name candidate extracting unit 131 extracts the item name candidates and the positional regularity between the item value and each item name candidate, and registers them in the item name candidate information storage unit 15. . In this embodiment, the character strings "Quotation number:" and "Quotation" can be extracted as item name candidates by the above item name extraction processing, and the positional regularity of each item name candidate can be obtained. The description is continued assuming that it is extracted.

In this embodiment, positional regularity is extracted after extracting candidates for each item name. A character string that is determined to be located near the item value may be extracted as a candidate for each item name based on the positional relationship and distance relationship between the value and each character string.

Subsequently, the naming rule extraction unit 132 in the analysis unit 13 extracts the naming rule of the folder name by analyzing each folder name of the stored document (step 106). According to the folder name example shown in FIG. 4, naming rules are extracted such as 100% for the rule that the number is six digits, and 100% for the rule that the first two characters are "18". When extracting naming rules, the degree of certainty as a naming rule is calculated for each naming rule, such as 100% and 100% described above. The naming rule extraction unit 132 registers the naming rules extracted as described above in the naming rule storage unit 16 .

The above-described steps 103 to 106 correspond to pre-processing that is performed when the document type of the document to be stored is specified when the storage destination of the document to be stored corresponding to the document type of quotation is determined. Conceivable. That is, for example, item name candidates and naming rules may be prepared in advance by performing the processes shown in steps 103 to 106 in advance for each document type such as an estimate, purchase order, contract, and the like. When the document type is recognized in step 102 from item name candidates and naming rules prepared in advance, item name candidates and naming rules corresponding to the recognized document type are extracted. good too.

Subsequently, the folder name determining unit 14 determines the folder name of the folder in which the document to be stored is to be stored as follows.

First, the folder name determining unit 14 searches for a character string that matches the item name candidate by analyzing the document to be stored. According to the example of the quotation shown in FIG. 3, the character strings of both "Quotation Number:" and "Quotation", which are candidates for item names, can be extracted (step 107).

Subsequently, the folder name determination unit 14 extracts a character string positioned near each item name candidate. For example, for "Quotation number:", the character strings "180007" located on the right side and "Z Co., Ltd." located on the upper side are extracted. It is extracted as a folder name candidate (step 108). On the other hand, for "quote", each character string "Z Co., Ltd." located below is extracted, but if the positional regularity is referred to, the folder name candidates cannot be extracted. In the case of this embodiment, the estimate number, which is the item value, becomes the folder name as it is, so the folder name candidate here is the same as the item value candidate for the item name.

If one cannot be identified even by referring to positional regularity, general common sense may be referred to. For example, in horizontally written forms, item values are generally located to the right or below the item name. Therefore, the item name may be determined by highly evaluating the positional relationship judgment index derived from such common sense. If only one item name candidate is extracted, the folder name determination unit 14 determines the candidate as the item name.

Subsequently, the folder name determining unit 14 compares each folder name candidate with the naming rule of the folder name, and selects the folder name candidate matching the naming rule from among the folder name candidates as the folder of the document to be stored. The name is determined (step 109). According to the quotation shown in FIG. 3, the item name is specified as "quotation number:", and accordingly, the character string "180005" is selected as the item value corresponding to the item name "quotation number:". That is, the character string "180005" corresponding to "quotation number:" is determined as the folder name.

In this manner, in the present embodiment, the storage destination of the document to be stored is determined by referring to the folder name of the folder in which each stored document is stored.

In the above example, since there is only one folder name candidate, matching with the naming rule may not be performed, or the matching may be performed for confirmation. According to the naming rules, the amount of money in the quotation shown in FIG. 3 includes the character string "188000" that matches all the naming rules. However, considering the positional regularity between item names and item values, they are not selected as item values. In this way, it is possible to correctly extract the quotation number by considering both the positional regularity of the item names and item values and the folder naming rule.

When the folder name of the document to be stored is determined as described above, the above-described process result, that is, the folder name, is notified to the storage destination identification requester. As a result, the document management system creates a folder with the name "180005" and stores the quotation shown in FIG. 3 in this folder. FIG. 6 shows the structure of the quotation storage area in the document database after the documents to be stored are stored in the folders in this manner.

When a plurality of folder name candidates are extracted, the folder name determination unit 14 may present the accuracy of each naming rule and allow the user to select one. For example, the folder name determining unit 14 displays the layout of the quotation, which is the document to be stored, shown in FIG. 3, and the accuracy of the naming rule for each folder name candidate. When there are a plurality of naming rules, the folder name determination unit 14 may calculate accuracy as follows.

For example, assume that "2500" and "150" are extracted as item values corresponding to the item name "Quotation number:". Here, if there are two naming conventions, the first rule is "a four-digit number with an accuracy of 90%" and the second rule is "begins with 1 and has an accuracy of 60%", then "2500" Since rule 1 is matched and rule 2 is not matched, the probability of being a folder name can be calculated as 0.9×(1−0.6)=0.36. On the other hand, "150" does not match the first rule but matches the second rule, so the probability of being a folder name can be calculated as (1−0.9)×0.6=0.06. Therefore, "2500" and "150" are extracted as folder name candidates, and the user may be presented with the respective accuracies of 36% and 6%, and finally selected by the user.

By the way, regarding the positional relationship between the item name and the item value, it is common that the item value is on the right side or below the item name. Therefore, if there is no difference in the accuracy of location regularity between item name candidates and item values, the accuracy of location regularity may not be an effective index for identifying item values corresponding to item name candidates. occurs. In this case, it may be effective to refer to other indicators. For example, assume that you have received other types of documents such as purchase orders and contracts from a company in addition to quotations. Also, a company may create each document according to a common location regularity, regardless of the type of document. For example, in a company that describes the item value corresponding to the item name "Quotation Number:" in the quotation (that is, the quotation number that is the identification information of the quotation) on the right side of the item name, the item name "Purchase Order Number" in the purchase order It can be assumed that the item value corresponding to :” (that is, the order number, which is the identification information of the purchase order) is written on the right side of the item name. It can be assumed that the contract also follows the same rule, and the item value (that is, the contract number, which is the identification information of the contract) is written on the right side of the item name "contract number:". In this manner, the positional relationship between item names and item values in other document types may be referred to in the grouping of companies to specify item values corresponding to item name candidates. This is suitable when documents are collectively stored for each company in the document database.

FIG. 7 is a diagram showing the structure of a document storage area in this embodiment. FIG. 4 shows the storage area for the quotation (the file name is “Quotation Reply.pdf”). Folder structure is shown. Specifically, an example is shown in which an order request form is stored in the same folder as well as an estimate form.

In this case, in the process of step 103 described with reference to FIG. 2, the order request form is also obtained. Therefore, in the present embodiment, when a document type is designated, the related document information acquisition unit 12, for example, designates a predetermined search term so that only documents corresponding to the designated document type can be extracted. to extract the document from the folder. For example, if the document to be stored is an estimate, the related document information acquisition unit 12 extracts only the desired estimate from the estimate-related folder using a search term including a wildcard "*estimate*".

FIG. 8 is a diagram showing another structure of the quotation storage area in this embodiment. When storing documents, folders may be created in advance. For example, when requesting an estimate from a company, an estimate number is given, and a folder may be created and prepared in the document database before receiving an estimate response. FIG. 8 shows an example in which folders with quotation numbers "180005" and "180009" are created in advance. Since these two folders are empty folders in which "Quotation Reply.pdf" is not stored, it can be determined that they have been prepared in advance.

Here, when the storage destination identification request reception unit 11 acquires the quotation, the folder name determination unit 14 may determine the folder name of the folder that will be the storage destination of the quotation by performing the processing as described above. refers to the folders under the quotation reply form folder, and among them, the folder names of empty folders that do not contain "quotation reply form.pdf" (i.e., "180005" and "180009") , estimate number) in advance. As a result, even if a plurality of character strings close to the item name are extracted from the quotation as the document to be stored, the folder name determining unit 14 assigns the character string corresponding to "180005" or "180009" to the quotation number, that is, Candidates for the folder name of the folder that stores the quotation that is the document to be stored can be narrowed down in advance, and the folder name can be determined from among them.

As described above, according to the present embodiment, when a quotation is stored in a folder with the same name as the quotation number, the quotation has the same document type as the document to be stored and is a stored document. Based on the relationship between the document and the folder name of the folder of the quotation that is the stored document, it is possible to specify the folder name of the folder that will be the storage destination of the quotation that will be the storage target document.

In the above description, an estimate is used as an example of the type of document, but it goes without saying that this can be applied to other types of documents as well.

10 information processing device 11 storage destination identification request receiving unit 12 related document information acquisition unit 13 analysis unit 14 folder name determination unit 15 item name candidate information storage unit 16 naming rule storage unit 131 item name candidate extraction unit , 132 nomenclature extractor.

Claims (8)

Acquisition means for acquiring a document to be stored in a storage destination;
Identification information of a stored document described in each of a plurality of stored documents of the same type as the document to be stored, and identification information that matches the storage destination name of the storage destination of the stored document. item name extracting means for extracting, as an item name of the identification information, a character string commonly described in the plurality of stored documents near the
a naming rule extracting means for extracting a naming rule common to names of storage destinations in which the plurality of stored documents are respectively stored;
A storage destination name of the storage destination of the document to be stored, which is a character string described near the item name described in the document acquired by the acquisition means and which matches the naming rule. a determining means for determining as
An information processing device comprising: 2. The method according to claim 1, wherein, when extracting a plurality of character strings as candidates for the item name of the identification information, the item name extracting means calculates accuracy as the item name of the identification information for each character string. The information processing device described. 2. The determining means determines an item name corresponding to the identification information of the document by referring to a storage location name of a storage location in which each of the plurality of stored documents is stored. 3. The information processing device according to 2. 2. The information processing apparatus according to claim 1, wherein said naming rule extracting means, when extracting a plurality of naming rules, calculates accuracy as a rule for each naming rule. 5. An information processing apparatus according to claim 4, wherein said determining means presents the accuracy of each of said naming rules calculated by said naming rule extracting means to a user. When a document of a type different from the document to be stored is also stored in the storage location where the plurality of stored documents are stored, the item name extraction means stores the document in the storage location. 2. The information according to claim 1, wherein a document whose document type name described in the stored document indicates the document type of the document to be stored is extracted as the plurality of stored documents. processing equipment. The determination means determines if there is a storage destination in which a document of the same type as the document to be stored is not registered among the storage destinations in which the plurality of stored documents are respectively stored. 2. The information processing apparatus according to claim 1, wherein the storage location name of the storage location is used as a candidate for the storage location name of the storage location of the document to be stored. the computer,
acquisition means for acquiring a document to be stored in a storage destination;
Identification information of a stored document described in each of a plurality of stored documents of the same type as the document to be stored, and identification information that matches the storage destination name of the storage destination of the stored document. Item name extracting means for extracting, as an item name of the identification information, a character string commonly described in the plurality of stored documents near the
naming rule extracting means for extracting a naming rule common to names of storage locations in which the plurality of stored documents are respectively stored;
A storage destination name of the storage destination of the document to be stored, which is a character string described near the item name described in the document acquired by the acquisition means and which matches the naming rule. Determining means for determining as
A program to function as

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