JP2020135246A - Document search apparatus, document search method, and document search program - Google Patents

Abstract

To provide a document search apparatus and the like reducing search omissions with respect to a search condition.SOLUTION: A document search apparatus according to one embodiment of the current invention provided with a search part searching for a document corresponding to a received search condition includes: a similarity calculation part which obtains similarity between one document included in a set of documents and a plurality of other documents different from the one document included in the set of documents; and a document extension part which uses a similar document to be another document whose similarity to the one document is a prescribed value or larger among the plurality of other documents to generate one extended document extending the one document. The document extension part creates an extended document about all documents on the basis of similarities of all documents included in the set of documents calculated by the similarity calculation part. The search part searches for an extended document corresponding to the search condition in the extended document with respect to all the documents, and outputs one document corresponding to the searched extended document as a search result.SELECTED DRAWING: Figure 1

Description

The present invention relates to a document retrieval device, a document retrieval method, and a document retrieval program, and in particular, utilizing the similarity between documents in a document set to be searched, a text contained in one document and the said one. The present invention relates to a document retrieval device that generates an extended document set in which a text of a similar document of a document is associated in advance and reduces search omissions for search conditions.

In recent years, devices for evaluating inventions before filing have been developed. Patent Document 1 discloses a patent specification evaluation / preparation work support device that stores information on intellectual property, evaluates application documents before filing, and supports preparation. In the evaluation of an invention before filing an application, in order to determine whether or not the substantive requirements of registration such as novelty and inventive step are satisfied and whether or not there is infringement, etc., a search process such as a prior art document search or a clearance search is usually performed. Is required to do.

JP-A-2010-224984

Conventionally, in the search process, there is a method of reconstructing a search query by expanding keywords in a search text input as a search condition (search query) with synonyms using a synonym dictionary or the like. However, it is difficult to properly create a dictionary with the above method, and there is a problem that the expanded (added) word as a synonym becomes noise and searches a document unrelated to the search query. is there.

In addition, conventionally, using distributed expressions and vector expressions of words, the degree of similarity (distance) is calculated in a vector space that abstracts the meaning of words instead of character strings of words, and similar documents are searched, so-called. A concept search is being performed. In the concept search, there are a method of expanding the word itself in the input search text with similar words in the vector space, and a method of converting the document into the vector space in advance and having it as a feature quantity. In either case, vectorization is generally performed by machine learning, but the similarity between documents or words that are completely unrelated to each other becomes high, which may cause noise. In general, words often have different meanings depending on the target field, and it is necessary to construct a vector space for each target field.

Further, there is a method of classifying (clustering) the similarity between documents by words included in the documents and using the peripheral documents of the documents by keyword matching as search results. In this method, it is necessary to calculate the similarity between documents in advance, but the method of obtaining the similarity at that time may differ from the method of obtaining the similarity required when actually searching, so it is completely different. There was a problem of searching for unrelated documents.

The present invention has been made in view of the above, and provides a document retrieval device and the like that reduce search omissions for search conditions.

The document search device according to the embodiment of the present invention is a document search device including a search unit for searching a document corresponding to the received search condition, and includes one document included in the document set and a document included in the document set. A similarity calculation unit that obtains the similarity between a plurality of other documents different from one document, and a similarity that is another document having a similarity to one document of a predetermined value or more among a plurality of other documents. It further includes a document extension unit that uses a document to generate one extended document that extends one document, and the document extension unit is for all documents included in the document set calculated by the similarity calculation unit. Based on the similarity of, the extended document is created for all the relevant documents, and the search unit searches the extended document corresponding to the search condition from the extended document for all the documents, and corresponds to the searched extended document. Output one document to be done as a search result.

In the document retrieval apparatus according to the embodiment of the present invention, the similarity calculation unit may classify other documents having a similarity equal to or greater than a predetermined value by the k-nearest neighbor method.

In the document retrieval apparatus according to the embodiment of the present invention, the document extension unit compares the graph structure of one document with the graph structure of a similar document of one document, and selects one graph element of a similar document having a high degree of similarity. It may be integrated into one document to generate an extended document of one document.

In the document retrieval apparatus according to the embodiment of the present invention, the document extension unit compares one document and a similar document of one document by graph elements included in a predetermined window width, and includes the document in a window having a high degree of matching. The graph elements of similar documents may be integrated into one document.

In the document search device according to the embodiment of the present invention, the search unit accepts the search text as the search condition, searches for the extended document in which the degree of matching of the search text in graph units is equal to or more than a predetermined value, and the searched extended document. One document corresponding to may be output as a search result.

In the document search device according to the embodiment of the present invention, the search unit accepts a search text as a search condition, searches for an extended document containing a keyword included in the search text, and one document corresponding to the searched extended document. May be output as a search result.

In the document retrieval apparatus according to the embodiment of the present invention, one document may be composed of a plurality of items, and the document extension unit may generate an extended document for a predetermined item in the one document.

In the document retrieval apparatus according to the embodiment of the present invention, the document set is a set of patent documents having bibliographic information, and the similarity calculation unit is one document and a plurality of others according to the degree of matching of the bibliographic information. You may find the similarity with the document of.

According to one embodiment of the present invention, a document search method for searching a document corresponding to a received search condition is performed by a computer using one document included in a document set and a plurality of different documents included in the document set. Using the similarity calculation step for obtaining the similarity with other documents, and the similarity document which is another document whose similarity to one document is equal to or more than a predetermined value among a plurality of other documents, one The document extension step, which generates one extended document that extends the document, is executed, and the document extension step is based on the similarity of all the documents contained in the document set calculated by the similarity calculation step. An extended document is created for all the relevant documents, the computer searches for the extended document corresponding to the search condition from the extended document for all the documents, and the search result is one document corresponding to the searched extended document. Further execute the search step that is output as.

According to an embodiment of the present invention, a document search program for searching a document corresponding to a received search condition is a computer in which one document included in a document set and a plurality of documents included in the document set are different from each other. Using the similarity calculation function for finding the similarity with other documents, and the similarity document that is another document whose similarity to one document is equal to or more than a predetermined value among a plurality of other documents, one A document extension function that generates one extended document that extends a document is realized, and the document extension function is based on the similarity of all documents included in the document set calculated by the similarity calculation function. Create an extended document for all the documents, search the computer for the extended document corresponding to the search condition from the extended document for all documents, and search the search result for one document corresponding to the searched extended document. Further realize the document search function that outputs as.

According to one embodiment of the present invention, it is possible to provide a document retrieval device or the like that reduces search omissions with respect to search conditions.

It is an example of the functional block diagram of the document retrieval apparatus which concerns on one Embodiment of this invention. This is an example of the hardware configuration of the document retrieval device (computer) according to the embodiment of the present invention. This is an example of a document database. This is an example of a document distance database. (A) is an example of generating an extended document, and (b) is an example of an extended document database. It is a flow chart of the search process which concerns on one Embodiment of this invention. It is a schematic diagram of the intellectual property creation support system configuration which concerns on one Embodiment of this invention.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

<Hardware configuration>
First, the hardware configuration of the document retrieval device (computer) 100 according to the embodiment of the present invention will be described with reference to FIG. The document retrieval device 100 includes a processor 101, a memory 102, a storage 103, an input / output interface (I / F) 104, and a communication I / F 105, and is described in the present embodiment in cooperation with these. Realize functions and methods. For example, the function or method of the present disclosure is realized by the processor 101 executing an instruction included in a program read in the memory 102.

The processor 101 executes a function and / or a method realized by a code or an instruction contained in a program stored in the storage 103. The processor 101 includes, for example, a central processing unit (CPU), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), a microprocessor (microprocessor), a processor core (processor core), a multiprocessor (multiprocessor), and an ASIC (Application-). Each implementation includes a specific integrated circuit), FPGA (Field Programmable Gate Array), etc., and is implemented by a logic circuit (hardware) or a dedicated circuit formed in an integrated circuit (IC (Integrated Circuit) chip, LSI (Large Scale Integration)), etc. Each process disclosed in the form may be realized. Further, these circuits may be realized by one or a plurality of integrated circuits, and a plurality of processes shown in each embodiment may be realized by one integrated circuit. Further, the LSI may be referred to as a VLSI, a super LSI, an ultra LSI, or the like depending on the degree of integration.

The memory 102 temporarily stores the program loaded from the storage 103 and provides a work area to the processor 101. Various data generated while the processor 101 is executing the program are also temporarily stored in the memory 102. The memory 102 includes, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), and the like.

The storage 103 stores the program. The storage 103 includes, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, and the like.

The communication I / F 105 is implemented as hardware such as a network adapter, communication software, and a combination thereof, and transmits and receives various data via the network NET. The communication may be executed by wire or wirelessly, and any communication protocol may be used as long as mutual communication can be executed. The communication I / F 105 executes communication with, for example, Yuna, another information processing device of the user terminal, via the network NET. The communication I / F 105 transmits various data to another information processing device according to an instruction from the processor 101. Further, the communication I / F 105 receives various data transmitted from other information processing devices and transmits the various data to the processor 101.

The input / output I / F 104 includes an input device for inputting various operations to the document retrieval device 100 and an output device for outputting the processing result processed by the document retrieval device 100. The input / output I / F 104 may be integrated with the input device and the output device, or may be separated into the input device and the output device. The input device is realized by any one of all kinds of devices capable of receiving an input from a user and transmitting information related to the input to the processor 101, or a combination thereof. The input device includes, for example, a hardware key such as a touch panel, a touch display, and a keyboard, a pointing device such as a mouse, a camera (operation input via an image), and a microphone (operation input by voice). The output device outputs the processing result processed by the processor 101. The output device includes, for example, a touch panel, a speaker, and the like.

<Functional configuration>
Next, the functional configuration of the document retrieval device 100 according to the embodiment of the present invention will be described with reference to FIG. It should be noted that each functional unit shown in FIG. 1 is not essential, and other functional units may be provided. Further, the function or processing of each functional unit may be realized by machine learning or AI (Artificial Intelligence) to the extent feasible.

The document retrieval device 100 includes a similarity calculation unit 110, a document expansion unit 120, a search unit 130, a document distance DB (database) 140, and an extended document database 150. The document distance database 140 and the extended document database 150 may be provided outside the document search device 100, for example, on the cloud, and may be accessible via a network. According to one embodiment of the present invention, the document retrieval device 100 expands the document database 200 to be searched to generate the extended document database 150, and sets the extended document database 150 as the search target to prevent omission of search. It can be reduced.

The similarity calculation unit 110 obtains the similarity between one document included in the document set (document database 200) and a plurality of other documents included in the document set and different from the one document. It is preferable that the similarity calculation unit 110 calculates the similarity between all the documents included in the document database 200 and other documents. The similarity calculation unit 110 may classify the documents included in the document database 200 by using, for example, the k-nearest neighbor method. Here, when the document database 200 is, for example, a database of the Japan Patent Office that stores patent documents, bibliographic information in the patent documents can be used to calculate the degree of similarity (that is, distance) between documents. For example, the similarity calculation unit 110 can use, for example, the degree of agreement of the inventor, the degree of agreement of patent classifications such as IPC, and the like as the degree of similarity. Further, the similarity calculation unit 110 has a similarity between one document and another document based on the number of shares of the keyword in the text included in one document and the keyword in the text included in the other document. May be calculated. The method of calculating the similarity is not limited to the above-mentioned method, and an existing clustering method can be used.

The similarity calculation unit 110 stores the calculated similarity (distance) between documents in the document distance database 140.

Here, an example of the document database 200 and the document distance database 140 will be described with reference to the figures. FIG. 3 is a conceptual diagram of the document database 200, and FIG. 4 is a conceptual diagram of the document distance database. The document database 200 can consider that a set of a plurality of texts (text group) is associated with each identifier (document ID) that identifies each document. For example, the document with the document ID "ID_X" is associated with "text a", "text b", "text c", "text d", and so on.

The similarity calculation unit 110 obtains the similarity between documents included in the document database 200, and associates documents having a short distance with each other as a document group. The document distance database 140 stores a group of documents that are close in distance (high in similarity). In the example of FIG. 4, the document IDs “ID_X”, “ID_Y”, “ID_H”, “ID_J” ... Are stored as a group of documents having a high degree of similarity. The figure is an example, and the structure of the database is not limited to this. For example, one document may be associated with another document according to the degree of similarity.

The document extension unit 120 uses a similar document, which is another document whose similarity to the one document is equal to or more than a predetermined value, among a plurality of other documents different from the one document included in the document database 200, to form one document. Generates one extended document that extends.

The expansion process by the document expansion unit 120 will be specifically described with reference to FIG. In the example of FIG. 5, it is assumed that the target to be expanded is the document with the document ID “ID_X”, and the similar document is the document with the document ID “ID_Y”. The document extension unit 120 converts the text a included in the document ID “ID_X” and the text q included in the document ID “ID_Y” into graph sets Ga and Gq by Bag Of Words, respectively. In the example of FIG. 5 (a), the text a is "By the way, today's weather is sunny and then cloudy", and the text q is "Tomorrow's weather is sunny and then rainy due to the approaching typhoon." ..

Assuming that the window width is 3, the graph set Ga (by the way, today's weather is) (today's weather is sunny) (weather is sunny, later) (sunny, later, cloudy) (later cloudy, The graph set Gq is (by typhoon, approaching, tomorrow) (by approaching, tomorrow, weather) (tomorrow, weather is sunny) (weather is sunny, later) (sunny, later, (Rain) (later, rain). The document extension unit 120 compares the graph sets Ga and Gq, and shares a predetermined number (here, 2) of elements in the graph set Gq. Graph (tomorrow, weather is fine), (sunny, later, rain) And (later, rain) are added (integrated) to the graph set Ga to generate the extended graph set Ga'. That is, the extended graph set Ga'is (by the way, today's weather is) (today's weather is sunny) (weather is sunny, later) (sunny, later, cloudy) (later cloudy). (Tomorrow, the weather will be fine) (sunny, then rain) (later, rain). Then, the document expansion unit 120 stores the expanded graph set Ga'in the extended document database 150 as a search feature amount of the document ID "ID_X".

The document extension unit 120 creates an extended document as described above for all the documents included in the document database 200, and stores the extended document in the extended document database 150. As a result, an extended document is generated for each text included in each document, and an extended document database 150 as shown in FIG. 5B is generated.

In the above description, the window width is set to 3, but the present invention is not limited to this, and the window width may be set arbitrarily. In addition, the number of shared graph elements, which is a criterion for extracting the graph to be integrated, may be arbitrarily set. For the conversion to the graph set, a tree structure graph using a text dependency structure may be used instead of Bag Of Words. A tree structure graph can be used to extend a document according to the similarity of the graph structure between texts, thereby extending a document with more relevant graphs.

When the search condition 300 is input, the search unit 130 performs a search using the graph set stored in the extended document database 150 instead of the document database 200 as a search target. The search for the extended document database 150 can be performed by graphing the search text as a search condition in the same manner as in the document extension unit 120 and determining the degree of matching of the graphs. The search may be determined according to the matching of keywords from each graph element. The search unit 130 acquires one document (that is, the original document before expansion) corresponding to the extended document searched from the extended document database 150 from the document database 200 and outputs it as a search result.

In addition, when the searched document is an extended document, the search unit 130 may weaken the weighting as a search result. As a result, the accuracy of the search result can be guaranteed.

<Search process>
Next, the search process by the document retrieval device 100 will be described with reference to the flow chart of FIG.

First, the similarity calculation unit 110 obtains the similarity between one document included in the document set and a plurality of other documents included in the document set (step S11). The document extension unit 120 generates an extended document in which one document is extended by using a similar document which is another document having a similarity degree to one document of a predetermined value or more among a plurality of other documents (step). S12). The search unit 130 accepts the search condition (step S13) and searches for the extended document corresponding to the search condition (step S14). The search unit 130 outputs the document corresponding to the searched extended document as the search result 310 (step S15).

As described above, according to one embodiment of the present invention, the probability that a keyword co-occurring with a keyword in one document or similar text is stored in the extended document database 150 and matches the search text which is a search condition. Will be higher. Further, since the extended document is a document classified as a similar document in advance by the similarity calculation unit 110, it is possible to secure a search rate higher than the accuracy of the existing method. Further, since the text to be expanded according to the graph similarity is selected from the similar documents, the search range can be expanded without lowering the search accuracy (matching rate).

It should be noted that the target for generating the extended document by the document expanding unit 120 may be only a predetermined constituent unit in one document. For example, when one document is a patent document, only the claims may be expanded, and the specification in the same document and the specification in a similar document may be targeted as the target text for acquiring the expanded graph. As a result, it becomes possible to carry out a search developed by synonyms while narrowing down the search target.

The document retrieval device 100 according to the embodiment of the present invention described above may be applied to the intellectual property creation support system. FIG. 7 shows a configuration example of the intellectual property creation support system. As shown in FIG. 7, the intellectual property creation support system 500 includes a document retrieval device 100, a document database (DB) 200, and communication terminals 400 (400A to 400D) connected to each other via a network NET. Including. The number of communication terminals 400 is not limited to the one shown in the figure.

The communication terminals 400A to 400D are communication terminals of users who use the intellectual property creation support service provided by the intellectual property creation support system 500. In the intellectual property creation support system 500, the document retrieval device 100 can search for prior art documents. In FIG. 7, the communication terminal 400 shows a notebook personal computer or a desktop personal computer, but the communication terminal 400 may be of any type as long as the document search service can be used via the network NET. The communication terminal 400 includes, for example, a smartphone, a mobile phone (feature phone), a handheld computer device (for example, PDA (Personal Digital Assistant), etc.), a wearable terminal (for example, a glasses-type device, a clock-type device, a head-mounted display (HMD:). A head-mounted display, etc.), another type of computer, or a communication platform may be included. The communication terminal 400 receives an input operation from the user and transmits the search condition to the document search device 100 via the network NET. ..

The document database 200 can be, for example, a database of the Japan Patent Office. The JPO database may include one or more offices. By including the databases of the five offices of the United States, Europe, Japan, China, and South Korea, it is possible to cover about 90% of the world's patents. It is good to include the database of 5 agencies. The database is not limited to the above-mentioned one, and may be information existing on the Internet.

The network NET may include a wireless network or a wired network. Specifically, network NETs include wireless LAN (WLAN), wide area network (WAN), ISDNs (integrated service digital networks), wireless LANs, LTE (long term evolution), LTE-Advanced, 4th generation (4G), 5th generation (5G), CDMA (code division multiple access) and the like. The network NET is not limited to these examples, and is, for example, a public switched telephone network (PSTN), Bluetooth (Bluetooth (registered trademark)), an optical line, an ADSL (Asymmetric Digital Subscriber LINE) line, and a satellite. It may be a communication network or the like. Further, the network NET may be a combination of these.

In the intellectual property creation support system 500, the user can at least perform a prior art document search, an invalidity search, and a clearance search. The user transmits the search condition to the document retrieval device 100 via the communication terminal 400. For example, in the case of a prior art document search, the user transmits, for example, an invention sentence describing the invention as information about his / her invention as a search condition. The search unit 130 extracts keywords representing the invention included in the invention text as search keywords. Then, a group of similar patent sentences is extracted from the document database 200 based on the extracted search keywords. At this time, the document retrieval device 100 expands the document database 200 as described above, and the search unit 130 searches the extended document database 150 as a search target.

Although the present invention has been described based on the drawings and examples, it should be noted that those skilled in the art can easily make various modifications and modifications based on the present disclosure. Therefore, it should be noted that these modifications and modifications are included in the scope of the present invention. For example, the functions included in each component, each step, etc. can be rearranged so as not to be logically inconsistent, and a plurality of components, steps, etc. can be combined or divided into one. Is. In addition, the configurations shown in the above embodiments may be combined as appropriate. For example, each component described as being included in the document retrieval device 100 may be physically distributed by a plurality of computers, or may be realized as a single computer.

The program of each embodiment of the present disclosure may be provided stored in a computer-readable storage medium. The storage medium can store the program in a "non-temporary tangible medium". Programs include, for example, software programs and computer programs.

Storage media, where appropriate, are one or more semiconductor-based or other integrated circuits (ICs) (eg, field programmable gate arrays (FPGAs), application-specific ICs (ASICs), etc.), hard disks. Disk drive (HDD), hybrid hard drive (HHD), optical disk, optical disk drive (ODD), magneto-optical disk, magneto-optical drive, floppy diskette, floppy disk drive (FDD), magnetic tape, solid drive It can include (SSD), RAM drives, secure digital cards or drives, any other suitable storage medium, or any suitable combination of two or more of these. The storage medium may be volatile, non-volatile, or a combination of volatile and non-volatile, where appropriate.

Further, the program of the present disclosure may be provided to the information processing apparatus via an arbitrary transmission medium (communication network, broadcast wave, etc.) capable of transmitting the program.

Each embodiment of the present disclosure can also be realized in the form of a data signal embedded in a carrier wave, in which the program is embodied by electronic transmission.

The program of the present disclosure is implemented using, for example, a script language such as JavaScript (registered trademark) or Python, C language, Go language, Swift, Kotlin, Java (registered trademark), or the like.

100 Document retrieval device 101 Processor 102 Memory 103 Storage 110 Similarity calculation unit 120 Document extension unit 130 Search unit 140 Database)
150 Extended document database 140 Document distance database 200 Document database 150 Extended database 300 Search conditions 310 Search results 500 Intellectual property creation support system 400 Communication terminal 400A-400D Communication terminal

Claims (10)

A document search device equipped with a search unit that searches for documents corresponding to the received search conditions.
A similarity calculation unit for obtaining the similarity between one document included in the document set and a plurality of other documents included in the document set different from the one document.
A document extension unit that generates an extended document that is an extension of the one document by using a similar document that is another document having a similarity degree to the one document or more among the plurality of other documents. ,
With more
The document extension unit creates the extension document for all the documents based on the similarity degree for all the documents included in the document set calculated by the similarity calculation unit.
The search unit is a document search device that searches for extended documents corresponding to the search conditions from the extended documents for all the documents, and outputs one document corresponding to the searched extended document as a search result. .. The similarity calculation unit classifies other documents having the similarity equal to or greater than a predetermined value by the k-nearest neighbor method.
The document retrieval device according to claim 1. The document extension unit compares the graph structure of the one document with the graph structure of the similar document of the one document, and integrates the graph elements of the similar document having a high degree of similarity into the one document. , Generate an extended document of the one document,
The document retrieval device according to claim 1 or 2. The document extension unit compares the one document with the similar document of the one document by the graph element included in the predetermined window width, and compares the graph of the similar document included in the window having a high degree of matching. Integrate the elements into the one document,
The document retrieval device according to claim 3, wherein the document retrieval device is characterized. The search unit receives the search text as the search condition, searches for the extended document in which the degree of matching of the search text in graph units is equal to or greater than a predetermined value, and obtains one document corresponding to the searched extended document. Output as search results,
The document retrieval device according to any one of claims 1 to 4, wherein the document retrieval device is characterized. The search unit accepts the search text as the search condition, searches for the extended document containing the keyword included in the search text, and outputs one document corresponding to the searched extended document as a search result.
The document retrieval device according to any one of claims 1 to 4, wherein the document retrieval device is characterized. The one document consists of multiple components
The document extension unit generates the extension document for a predetermined component of the one document.
The document retrieval device according to any one of claims 1 to 6, wherein the document retrieval device is characterized. The document set is a set of patent documents having bibliographic information.
The similarity calculation unit obtains the similarity between the one document and the plurality of other documents according to the degree of agreement of the bibliographic information.
The document retrieval device according to any one of claims 1 to 7, wherein the document retrieval device is characterized. This is a document search method that searches for documents that correspond to the accepted search conditions.
The computer
A similarity calculation step for obtaining the similarity between one document included in the document set and a plurality of other documents included in the document set different from the one document.
With the document expansion step of generating one extended document which is an extension of the one document by using a similar document which is another document whose similarity to the one document is equal to or more than a predetermined value among the plurality of other documents. ,
And
The document extension step creates the extension document for all the documents based on the similarity for all the documents included in the document set calculated by the similarity calculation step.
The computer searches the extended documents corresponding to the search conditions from the extended documents for all the documents, and executes a search step of outputting one document corresponding to the searched extended documents as a search result. , Document search method. A document search program that searches for documents that match the accepted search conditions.
On the computer
A similarity calculation function for obtaining the similarity between one document included in the document set and a plurality of other documents included in the document set different from the one document, and
A document extension function that generates an extended document that is an extension of the one document by using a similar document that is another document having a similarity degree to the one document or more among the plurality of other documents. ,
Realized,
The document extension function creates the extension document for all the documents based on the similarity for all the documents included in the document set calculated by the similarity calculation function.
Further, the computer has a document search function that searches for extended documents corresponding to the search conditions from the extended documents for all the documents and outputs one document corresponding to the searched extended document as a search result. A document search program that makes it possible.

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