JPH1153362A - Document processing device and method and storage medium storing document processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To quote a chart that is described in a similar document when a document is summarized and to easily produce a document summary that can be easily used by applying the chart included in a retrieved document and producing automatically the document summary. SOLUTION: A CPU 111 acquires a document to be summarized and stores it in a summarizing object document store area 1131 of a RAM 113. Then the CPU 111 acquires a document vector for the document stored in the area 1131. On the other hand, a document including a sufficient number of charts is extracted from a multi-modal document data base of a large scale. Then the similarity is retrieved between the texts of an HTML document. The CPU 11 asks a user to select the charts of high similarity and their captions and titles out of the retrieved document as the display of drawings. The user decides whether the drawings are proper or not. If a proper drawing is acquired, a document summary is produced by means of the chart of the said drawing.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a document processing apparatus,
The present invention relates to a document processing method and a storage medium storing a document processing program.
The present invention relates to a technique for obtaining an appropriate drawing and creating an appropriate summary.

[0002]

2. Description of the Related Art Conventionally, various processes, such as automatic creation of summaries (including abstracts) and association with other documents, etc., are performed on various documents such as books, papers, and reports using a computer. That is being done. For automatic summarization of documents, for example, “Extraction and processing of semantic information from full-text information” (Information Processing Society of Japan 38th Annual Conference Proceedings, 222
1989). In this method, an important word in a document is first extracted from information such as a character type and a verb, and the most important word is determined from the appearance frequency of the important word. next,
By determining an important sentence based on whether or not an important word and a most important word appear, a summary can be automatically created.
Further, a method described in Japanese Patent Application Laid-Open No. 3-191475 has been proposed in which a summary is created more accurately by reflecting the nature of a paragraph of a sentence. On the other hand, as for association with other data, a hyperlink on the Internet, an association in knowledge processing (expert system or the like) by a frame system or the like is performed.

[0003]

By the way, in the conventional document processing apparatus, it is necessary only to summarize a document and prepare a separate chart if a chart is required. It is generally troublesome to create such a chart, for example, a graph showing changes in GNP, a drawing of an ordinary car engine,
It is enough to refer to the ones that existed in the past, rather than creating each one in Tokyo Shinjuku.

Accordingly, the present invention provides a document processing apparatus and a document creation method capable of creating an easily usable summary by referring to a diagram described in a similar document when summarizing a certain document. As a first object. Also,
The present invention provides a storage medium storing a computer-readable document processing program capable of creating an easily usable summary by referring to a chart described in a similar document when summarizing a certain document. Second to do
The purpose of.

[0005]

According to the first aspect of the present invention, a document acquiring unit for acquiring a document in a predetermined format, and a document containing a chart similar to the document acquired by the document acquiring unit is searched from a document database. A document processing apparatus, comprising: a search unit that performs a search; and a summary creation unit that automatically creates a summary of a document acquired by the document acquisition unit by incorporating a diagram of a document with a diagram retrieved by the search unit. The first object is achieved.

According to a second aspect of the present invention, in the document processing apparatus according to the first aspect, a display means for displaying a chart of the document containing the chart searched by the search means, and a chart displayed on the display means. The first object is attained by further providing a selection means for selecting.

According to a third aspect of the present invention, in the document processing apparatus according to the first or second aspect, when the chart of the document containing the chart is displayed by the display means, the title and description of the chart are also displayed. I do.

[0008] In the invention described in claim 4, according to claim 1,
The document processing device according to claim 2 or 3,
A document vector determining unit that determines a document vector characterizing the document acquired by the document acquiring unit; and a search for a similar document containing a chart by the searching unit is performed based on the document vector determined by the document vector determining unit. The similarity is determined.

According to a fifth aspect of the present invention, in the document processing apparatus according to the third or fourth aspect, a document further including a content similar to the title and description of the chart displayed on the display means is further searched. .

According to the invention described in claim 6, a document acquisition function for acquiring a document in a predetermined format, a search function for retrieving a document containing a chart similar to the document acquired by the document acquisition function from a document database, Computer-readable document processing for causing a computer to implement a summary creation function for automatically creating a summary of a document acquired by the document acquisition function by incorporating a diagram of a document with a diagram retrieved by the retrieval function The second object is achieved by storing the program in a storage medium.

[0011] According to the invention described in claim 7, in the storage medium described in claim 6, a display function of displaying a chart of a document containing a chart searched by the search function, and a chart displayed by the display function. It further includes a selection function for selecting.

According to the invention described in claim 8, in the storage medium described in claim 7, when the chart of the document containing the chart is displayed by the display function, the title and description of the chart are also displayed.

According to the ninth aspect of the present invention, in the sixth aspect,
7. The storage medium according to claim 7, further comprising a document vector determining function for determining a document vector characterizing the document acquired by the document acquiring function, wherein the retrieval of a similar document including a chart by the retrieval function is performed. The similarity is determined based on the document vector determined by the document vector determination function.

According to the tenth aspect of the present invention, in the eighth aspect,
Alternatively, in the storage medium according to claim 9, a document including contents similar to the title and description of the chart displayed on the display function is searched for.

According to the invention described in claim 11, a document in a predetermined format is acquired, a document containing a chart similar to the acquired document is searched from a document database, and the figure of the searched document containing a chart is incorporated. The first object is achieved by automatically creating a summary of the acquired document.

According to the twelfth aspect of the present invention, there is provided the first aspect of the present invention.
In the document processing method described in 1 above, a chart of the retrieved document containing a chart is displayed, and the displayed chart is selected.

According to the invention described in claim 13, in claim 1
The document processing method according to claim 12, wherein a document vector characterizing the acquired document is determined, and a similarity search is performed based on the determined document vector when searching for a similar document containing a chart.

[0018]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of a document processing apparatus, a document processing method, and a storage medium storing a document processing program according to the present invention will be described below in detail with reference to FIGS. . (1) Overview of Embodiment In this embodiment, a document vector of a document to be summarized is obtained, and a difference between document vectors including a chart in a reference document database is obtained. The similarity of the contents is determined based on whether the cosine value between these two documents is high or low. Documents with a high degree of similarity are displayed for user selection, and if the chart is appropriate,
Create a summary containing the chart.

(2) Details of the Embodiment FIG. 1 is a block diagram showing the configuration of the document processing apparatus. The document processing apparatus according to the present embodiment is configured as a computer system including a personal computer, a word processor, and the like, and is configured as a LAN (local area network) server and a computer (personal computer) communication host including the Internet. Is possible. The document processing apparatus includes a control unit 11 for controlling the entire apparatus as shown in FIG. This control unit 11 is connected to a bus line 21 such as a data bus.
A keyboard 12 and a mouse 13 as input devices, a display device 14, a printing device 15, a storage device 16, a storage medium driving device 17, a communication control device 18, an input / output I / F 19,
A character recognition device 20 is connected. The control unit 11 controls C
A PU 111, a ROM 112, and a RAM 113 are provided. The ROM 112 is a read-only memory in which various programs and data for the CPU 111 to perform various controls and calculations are stored in advance.

The RAM 113 is a random access memory used as a working memory for the CPU 111. In the RAM 113, as an area for performing the summarization processing according to the present embodiment, a summarization target document storage area 1131, a summary parameter storage area 1132, a document storage area with similar chart 1133, a document vector storage area 1134, and a summary storage area 1135. , And other various areas are secured. The summary parameter storage area 1132 stores the value of the summary parameter obtained by input from the operator or the like or the default value of the summary parameter read from the data storage unit 163 described later. As the summary parameter input by the operator, for example, the ratio of the summary to all documents (1% to 99)
%), With / without quantity priority, with / without long single sentence, with / without selection, etc. are stored. In the document storage area with similar diagram 1133, information on the degree of similarity between the documents (displayed from -1 to +1) is stored. The document vector storage area 1134 stores a document vector for the document to be summarized and a document vector for each similar document group described later. The summary storage area 1135 stores a summary for each document group including each topic discovered according to the present embodiment, and a summary for the entire document to be summarized.

The keyboard 12 has various keys such as a kana key and a numeric keypad for inputting a kana character, a function key for executing various functions, a cursor key, and the like. The mouse 13 is a pointing device, and is an input device for designating a corresponding function by left-clicking a key, an icon, or the like displayed on the display device 14.
As the display device 14, for example, a CRT or a liquid crystal display is used. The display device displays the content of the document to be summarized, the content of the summary automatically generated according to the present embodiment, and the like. The printing device 15 is for printing a sentence displayed on the display device 14, a document stored in the document storage unit 164 of the storage device 16, and the like. Various printing apparatuses such as a laser printer, a dot printer, an ink jet printer, a page printer, a thermal printer, and a thermal transfer printer are used as the printing apparatus.

The storage device 16 comprises a readable and writable storage medium and a drive device for reading and writing various information such as programs and data on the storage medium.
As a storage medium used for the storage device 16, a hard disk is mainly used, but a readable and writable storage medium among various storage media used in a storage medium driving device 17 described later may be used. Good. The storage device 16 stores the kana-kanji conversion dictionary 161 and the program storage unit 1
62, a data storage unit 163, a document database 164,
Summary database 165, document vector database 1
66, other storage units (not shown) (for example, storage units for backing up programs, data, and the like stored in the storage device 16). In the program storage unit 162, in addition to various programs such as an automatic summarization processing program, a document vector creation processing program, and a summarization creation program according to the present embodiment, a kana character string input using the kana-kanji conversion dictionary 161 is stored. Various programs such as a kana-kanji conversion program for converting into a mixed-kanji sentence are stored. The data storage 163 stores various data such as default values of summary parameters. As the default value of the summary parameter, for example, the ratio of the summary to all documents = “25%”, the emphasis on the quantity such as date / time, price information, physical quantity (size, weight, temperature, etc.) = “No”, and URL ( Uniform Resource Loc
ator) Values such as importance = “no”, and selection of “masu / masu / a” = “no” are stored.

The document database 164 stores documents created by the kana-kanji conversion program and documents created by other devices and read from the storage medium driving device 17 or the communication control device 18. This document database 1
The format of each document stored in the H.64 is not particularly limited, and a text format document, HTML (Hyper Text Ma
It is possible to store documents in various formats, such as a document in an rkup language) format and a document in a JIS format. Document database 1
64 stores document data in these formats. The summary database 165 and the document vector database 166 store a summary and a document vector corresponding to each document stored in the document database 164.

FIG. 2 shows a document vector database 166.
Are conceptually represented. As shown in FIG. 2, the element value f (x) obtained for the keyword x automatically extracted from the document is stored as an element of the document vector. This document vector represents each document (A,
B, C,...), And is associated with each document stored in the document database 164. The dimension of each document vector is the number of keywords x (keywords) to be adopted. When the similarity between two documents is obtained from both document vectors, the number of unions of keywords of both documents is Be a dimension. In this case, the element value of the other document vector for the keyword included in only one document vector is defined as “0”.

For example, in FIG. 2, the keywords of document B are "important, important words, importance,...", The keywords of document C are "important,..., Politics,...", And the document vectors of both documents are It is as follows. Document vector of document B = (1,18,19, ...) Document vector of document C = (18, ..., 21, ...) On the other hand, when calculating the similarity between document B and document C, Keywords for both documents are "important, important words, importance,
..., politics, ... ", and the document vectors of both documents are defined as follows. Document vector of document A = (1,18,19, ...,
0,...), Document vector of document C = (18, 0, 0,.
1,…)

The storage medium drive 17 is a drive for the CPU 111 to read a computer program or data including a document from an external storage medium. The computer programs stored in the storage medium include programs for various processes executed by the document processing apparatus according to the present embodiment, and dictionaries and data used therein. Here, the storage medium refers to a storage medium in which a computer program, data, and the like are stored, and specifically, a magnetic storage medium such as a floppy disk, a hard disk, and a magnetic tape, and a semiconductor storage medium such as a memory chip and an IC card. A storage medium such as a CD-ROM, an MO, a PD (phase change rewritable optical disk) or the like, from which information can be read optically, and a paper such as a paper card or a paper tape (and a medium having a function equivalent to the paper) are used. It includes a storage medium and a storage medium in which a computer program or the like is stored by various methods. As a storage medium used in the document processing apparatus of the present embodiment, a CD-ROM or a floppy disk is mainly used. Storage medium drive 1
7 reads a computer program from these various storage media, and also stores the RAM 113 and the storage device 16 in a writable storage medium such as a floppy disk.
Can be written.

In the document processing apparatus of this embodiment, the CPU 111 of the control section 11 reads a computer program from an external storage medium set in the storage medium drive 17 and stores it in each section of the storage device 16 (installation).
I do. When executing various processes such as the automatic summarization process according to the present embodiment, the corresponding program is read from the storage device 16 into the RAM 113 and executed. However, it is also possible to read the data from the external storage medium directly into the RAM 113 by the storage medium driving device 17 instead of the storage device 16 and execute the same. Further, depending on the document processing device, the automatic summarization processing program and the like of the present embodiment may be stored in the ROM 112 in advance, and this may be stored in the CPU 1.
11 may be executed.

The communication control unit 18 can transmit and receive various data such as text format and HTML format and various data such as bitmap data to and from other personal computers and word processors. I have. The input / output I / F 19 is an interface for connecting various devices such as a speaker that outputs audio, music, and the like. The character recognition device 20 is a device for recognizing characters written on paper or the like in various formats such as a text format or HTML, and is configured by an image scanner, a character recognition program, and the like.

In this embodiment, in addition to a document created by an input operation of the keyboard 12 (stored in a predetermined storage area of the RAM 113), a document created externally and stored in a predetermined storage medium is transmitted from the storage medium drive 17 Read documents,
Various documents such as a document stored in a document database in advance, a document downloaded from the communication control device 18, and a document recognized by the character recognition device 20 can be acquired as a target document (character acquisition means). .

The operation of the automatic summarization process for creating an abstract from a plurality of documents by the document processing apparatus of the present embodiment configured as described above will be described with reference to FIGS.
FIG. 3 shows the main operation of the automatic summarization processing of a plurality of documents. The document vector shown in FIG. 4B is displayed in two dimensions for easy conceptual understanding. Actually, it is an N-dimensional vector. The CPU 111
Summary target document A for which a summary is to be created (FIG. 4)
(A)) is acquired and stored in the document storage area 1131 of the summary target in the RAM 113 (step 10). The document A to be summarized is a RAM 113 (in the case where the document has been created in the own device), a document database 164 of the storage device 16 (in the case where a document has not been created yet), and a storage medium driving device in accordance with a user's instruction. 17 (in the case of a document created by the own device or another device), and from the communication control device 18 (in the case of communication by personal computer communication, the Internet or the like).

Next, the CPU 111 obtains an input value when the user inputs a summary parameter from the keyboard 12 or the like, and when there is no input from the user, the default of the summary parameter stored in the data storage unit 163. The value is obtained and stored in the summary parameter storage area 1132 (step 11).

Next, the CPU 111 obtains a document vector V (FIG. 4B) for the digest target document A stored in the digest target document storage area 1131. On the other hand, a document with enough figures and tables is extracted from a large-scale multi-modal document database (exWWW) (step 12). And
A similarity search is performed between the texts of the HTML document. FIG.
9 is a flowchart showing the operation of the document vector creation processing. The CPU 111 extracts a self-sustained word from the document to be summarized by performing morphological analysis (step 131), and extracts candidate words (phrases) including a noun phrase, a compound noun phrase, etc. from the document to be summarized A and stores them in the RAM 113 It is stored in the work area (step 132). Then, the degree of importance f (x) of each candidate word (phrase) is determined from the frequency of appearance of the extracted candidate word (phrase) in the document to be summarized and the evaluation function (step 13).
3). Here, as the evaluation function, for example, when a predetermined important word is specified in advance, weighting for the important word, weighting according to the type of a candidate word (phrase) such as a word, a noun phrase, a compound noun phrase, and the like are used. used. Furthermore, CPU1
11 determines keywords a, b,... Of the document to be summarized from the value of the determined importance f (x) (step 13).
4). Then, the document vector V = (f (a), f (b),...) Is stored in the document vector storage area 1134 of the RAM 113 using the importance f (x) of each keyword as an element (step 135).

Then, when the document vector V is obtained for the document to be summarized and the document containing the chart, the CPU 111 obtains the similarity s between the documents. The similarity s between the documents is determined by a cosine depending on the angle between the two document vectors bn and bn + 1. That is, if the angle between the two document vectors bn and bn + 1 is q, the inner product of both document vectors is bn · bn + 1, and the size of both document vectors is | bn | and | bn + 1 | The degree s is obtained by the following equation 1.

[0034]

## EQU1 ## Similarity s = COS (q) = (bn · bn + 1)
/ (| Bn | × | bn + 1 |)

The value of the similarity s takes a value up to -1 ≦ s ≦ 1, and as the value is closer to 1, the two document vectors are closer to each other in parallel, and it can be considered that the two documents are similar.

Next, the CPU 111 displays, on a screen, a diagram of a document having a high similarity s from the retrieved documents, its description, and a title, and requests the user to make a selection (step 1).
3). The user determines whether or not the drawing is appropriate (step 14). If the drawing is appropriate (step 14;
Y), a summary is created using the chart (step 1)
5). On the other hand, if the chart is not appropriate (step 1
4; N), the process returns to step 12, and the search is performed again. When displaying to a user on a screen, a plurality of charts may be displayed as shown in FIG. 5 so that the most appropriate one can be selected (clicked). At this time, the titles and explanations of the charts may be subjected to the above-described similarity determination again, and the one having finally been ranked high may be adopted. In addition, when displaying on a screen to a user, a diagram that can be modified can be displayed with a higher rank. Furthermore, an abstract may be created by using not only a chart but also an explanation and a title.

FIG. 7 is a flowchart showing the operation of the summary creation processing. The CPU 111 first extracts independent words included in each document group by performing morphological analysis (step 221), and extracts candidate words (phrases) including a noun phrase, a compound noun phrase, etc. from the document A to be summarized. It is stored in a predetermined work area of the RAM 113 (step 222). And
Each candidate word (phrase) importance f (y) is determined from the summary parameters stored in the summary parameter storage area 1132 of the RAM 16, the frequency of appearance of the extracted candidate words (phrases) in each document group, the evaluation function, and the like. (Step 223). here,
As the evaluation function, for example, when a predetermined important word is specified in advance, a weight for the important word, a word,
Weighting based on the type of candidate words (phrases) such as noun phrases and compound noun phrases is used.

The CPU 111 further determines the determined importance f
The importance F (z) for each sentence included in each document group is determined from (y) and the summary parameters stored in the summary parameter storage area relay (step 22).
4). Then, the summarization ratio of the summarization parameter (for example, the highest two sentences in the total number of sentences in the document group) from the sentence with the higher importance of the determined sentence importance F (z)
5%) are listed (step 225). Then, the CPU 111 arranges the listed sentences in the order of appearance in the document group to form a summary for the document group, stores the summary in the summary storage area of the RAM 113 (step 226), and executes the automatic summarization process of FIG. Return to routine.

When the creation of the summary for each document group is completed, the CPU 111, as shown in FIG.
All the summaries stored in 135 are integrated to be summarized for the summarization target document, stored in a predetermined area of the summarization storage area 1135 (step 16), and the automatic summarization process according to the present embodiment ends.

When the above automatic summarization processing is completed, the CPU
Reference numeral 111 performs storage processing of each data stored in the RAM 113 according to a user's instruction. That is, the document to be summarized is read from the document to be summarized storage area 1131 and stored in the document database 164 of the storage device 16. Further, the created summary is read from the summary storage area 1135 and stored in the summary database 165 of the storage device 16 with the relevance to the document to be summarized stored in the document database 164 attached. Further, the document vector V obtained in the document vector creation process (step 12 in FIG. 3) is read out from the document vector storage area 1135, and is associated with the document to be summarized stored in the document database 164, and the document vector V It is stored in the database 166.

The configuration and automatic summarization processing of the present embodiment have been described above. However, the present invention is not limited to these embodiments, and various modifications are possible within the scope of the invention described in the claims. It is possible to For example, in the embodiment, for morphological analysis and extraction of candidate words (phrases), a document vector creation process (steps 131 and 132 in FIG. 6) and a summary creation process (step 2 in FIG. 7)
21 and step 222), the same processing is performed independently. However, in the present invention, the candidate words (phrases) extracted in the document vector generation processing are stored in a predetermined area of the RAM 16, and the summary generation processing is performed. May be used.

In the embodiment described above, in the storage process after the automatic summarization process is completed, the summarization target document,
Although only the summary and the document vector V are stored and stored in the respective databases 164, 165, and 166 of the storage device 16, the present invention further provides a document vector creation process (FIG. 6).
Is extracted from the document to be summarized in step 132 of
The candidate words (phrases) stored in the predetermined work area 13 may be stored in the document database 164 or a dedicated candidate word (phrase) database in association with the document to be summarized. The summary parameter may be read from the summary parameter storage area 1132 and stored in the summary database 166 or a dedicated summary parameter database in association with the summary.

Furthermore, in the above-described embodiment, the morphological analysis (steps 131 and 221) is performed in both the document vector creation processing (FIGS. 3, 12 and 6) and the digest creation processing (steps 15 and 7). And extraction of candidate words (phrases) (steps 132 and 222). However, since the processing is for the same sentence, the extracted candidate words (phrases) are the same. Therefore, in the present invention, the candidate words (phrases) extracted in the document vector creation processing are stored in a predetermined area of the RAM 113, and the steps 221 and 222 are performed by using the candidate words (phrases) stored in the summarization processing. It may be omitted. This candidate word (phrase)
May be stored in the document database 164 or a dedicated candidate word (phrase) database as a candidate word (phrase) for the document to be summarized.

In the above-described embodiment, a method according to the flowchart of FIG. 6 has been described as an example of a method of creating a document vector. However, the present invention is not limited to this method. The method of extracting a keyword from, the method of determining the importance (= element value of a document vector) for the extracted keyword, and the like can be replaced by various known methods. Similarly, the summarizing process for each similar document group is not limited to the method shown in the flowchart of FIG. 7, and various known summarizing methods and abstract preparing methods can be used. Furthermore, the method of calculating the similarity between two document vectors is calculated by Equation 1, but is not limited to this equation, and the similarity between vectors can be expressed. If so, it is also possible to calculate the similarity by using other mathematical expressions.

In the above-described embodiment, the present invention is not limited to a document created in Japanese, but may be a document created in any language. In this case, it is only necessary to change a portion that does not affect the configuration of the present invention, such as using a morphological analysis algorithm for the language in which the target document is created. It should be noted that each device, each unit, each operation, each process, and the like described in the above embodiment may be configured by each unit (to a unit) as a general concept including them. It is possible.
For example, “the keywords a, b,... Of the document A to be summarized are determined from the determined value of the importance f (x) (step 13).
"4)", a "keyword determination means" is configured, and a summary ratio of summary parameters (for example, a sub-document group's summarization ratio from a sentence having a higher importance of the determined sentence F (z)). Top 25 of all sentences
%), "Sentence list-up means" may be configured. Similarly, the embodiment may be configured with a higher concept such as “「 (operation) means ”for various other operations.

[0046]

According to the present invention, since a document with a chart is searched from similar documents and an appropriate chart is taken from the document to create a summary, it is possible to provide a summary that is easy to use. it can.

[Brief description of the drawings]

FIG. 1 is a block diagram illustrating a configuration of a document processing apparatus according to an embodiment of the present invention.

FIG. 2 is an explanatory diagram conceptually showing the contents of a document vector database in the embodiment.

FIG. 3 is a flowchart showing a main operation of an automatic summarization process in the embodiment.

FIG. 4 is an explanatory diagram showing how to obtain a document vector in the automatic summarization process shown in FIG. 3 in the embodiment.

FIG. 5 is a diagram showing an example of a selection screen according to the embodiment.

FIG. 6 is a flowchart showing an operation of a document vector creation process in the embodiment.

FIG. 7 is a flowchart showing an operation of a summary creation process in the embodiment.

[Explanation of symbols]

 Reference Signs List 11 Control unit 112 ROM 113 RAM 1131 Summarization target document storage area 1132 Summarization parameter storage area 1133 Document storage area with similar diagram 1134 Document vector storage area 1135 Summarization storage area 12 Keyboard 13 Mouse 14 Display device 15 Printing device 16 Storage device 161 Kana kanji Conversion dictionary 162 Program storage 163 Data storage 164 Document database 165 Summary database 166 Document vector database 17 Storage medium drive 18 Communication control device 19 Input / output I / F 20 Character recognition device

Claims (13)

[Claims] 1. A document acquisition unit for acquiring a document in a predetermined format, a retrieval unit for retrieving a document containing a chart similar to the document acquired by the document retrieval unit from a document database, and a retrieval unit for retrieving the document. A document processing apparatus, comprising: a summary creation unit that automatically creates a summary of a document acquired by the document acquisition unit by incorporating a diagram of a document containing a diagram. 2. The apparatus according to claim 1, further comprising a display unit for displaying a chart of the document containing the chart searched by the search unit, and a selecting unit for selecting the chart displayed on the display unit. Document processing device. 3. The document processing apparatus according to claim 2, wherein a title and an explanatory note of the chart are also displayed when the chart of the document containing the chart is displayed by the display unit. 4. A document vector deciding means for deciding a document vector characterizing the document acquired by the document acquiring means.
4. The document processing apparatus according to claim 1, wherein the similarity is determined based on the document vector determined by the document vector determination unit. 5. The document apparatus according to claim 3, further searching for a document including contents similar to the title and description of the chart displayed on the display unit. 6. A document acquisition function for acquiring a document in a predetermined format, a retrieval function for retrieving a document containing a chart similar to the document acquired by the document acquisition function from a document database, and a retrieval function for retrieving the document. A summary creation function for automatically creating a summary of a document acquired by the document acquisition function by incorporating a diagram of a document containing a figure; and a storage medium storing a computer-readable document processing program for causing a computer to implement . 7. The display function according to claim 6, further comprising a display function for displaying a chart of the document containing the chart searched by the search function, and a selecting function for selecting the chart displayed in the display function. Storage media. 8. The storage medium according to claim 7, wherein a title and an explanatory note of the chart are also displayed when the chart of the document containing the chart is displayed by the display function. 9. A document vector deciding function for deciding a document vector characterizing the document acquired by the document acquiring function.
9. The storage medium according to claim 6, wherein the similarity is determined based on the document vector determined by the document vector determination function. 10. The storage medium according to claim 8, wherein a document containing contents similar to the title and description of the chart displayed on the display function is searched for. 11. A document in a predetermined format is obtained, a document with a chart similar to the obtained document is searched from a document database, and a summary of the obtained document is incorporated by incorporating a chart of the searched document with a chart. A document processing method characterized by automatically creating a document. 12. The document processing method according to claim 11, wherein a diagram of the retrieved document containing the diagram is displayed, and the displayed diagram is selected. 13. The method according to claim 11, wherein a document vector characterizing the obtained document is determined, and similarity is determined based on the determined document vector in searching for a document containing a similar chart. Item 13. The document processing method according to Item 12.