KR20190043961A - System and method for searching electronic information using visualization of related terms with user interaction and storage means - Google Patents

Abstract

The present invention provides a system and method for retrieving electronic information using visualization of related terms and user interaction and a recording medium storing the same. The present invention provides a query keyword and a related keyword in the form of a visual semantic network, and can expand or reduce a search query through interaction with a user. The present invention comprises: a query analysis module which analyzes a query entered by the user and generates at least one search query; a semantic network interaction module which searches for a word related to the search query in a term DB based on the search query extracted from the query, generates a semantic network including the searched words so as to be visually displayed, and is operated so that the related query generated through the interaction of combining the word and the search query according to the information input by the user is reflected on the semantic network and displayed; and an information search module which searches for the search query generated by the query analysis module and the related query generated by the semantic network interaction module from information DB and outputs a result. Accordingly, the present invention has an advantage in that the user can visually confirm the words matching the search purpose by providing the query keyword and the related keyword in the form of a visual semantic network.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for searching electronic information through visualization of a related term and user interaction and a recording medium storing the same.

The present invention relates to a system and method for searching electronic information through visualization and user interaction of a related term and a recording medium storing the same. More particularly, the present invention provides a query keyword and an associated keyword in a form of a visual semantic network. And more particularly to a system and method for searching electronic information through user interaction and a recording medium storing the visual information of a related term that can expand or reduce a search query through interaction.

Generally, a search service system that provides a search service, when a search word is input from a user, is used as a search result corresponding to the search word, for example, a website including a search word, an article including a search word, And provides search results such as images to the user.

However, when a user searches for information through a web page or a search program, the search engine can not generate a query suitable for the search engine, and the user does not receive the desired search result. Therefore, the user moves the searched sites until he / And searches for desired information.

That is, the user can not obtain the desired search result immediately from the beginning with the keyword of the desired result, and in order to obtain the desired search result, a lot of trial and error must necessarily be performed.

This trial and error is performed by the user performing a search on the basis of a subject word that he knows and then determining the next keyword based on the result of the search, It is repeated.

However, the conventional general search system or search method only provides the search result that best matches the user's first query, and the user can modify the query to enlarge or reduce the range of the query, There is a problem that the user must repeat a plurality of searches.

In addition, in the conventional search system or the search method, the related term is simply displayed in a text list, and the user does not know what the word is related to the word included in the query.

Korean Patent Registration No. 10-1078864 (entitled " Query / Document Topic Category Change Analysis System and Method, Query Extension Based Information Retrieval System Using It and Method Thereof "

In order to solve such problems, the present invention provides a query term and an associated keyword in the form of a visual semantic network, and provides a visualization of a related term that can expand or reduce a search query through interaction with a user, An information retrieval system and method, and a recording medium storing the information retrieval system and method.

According to an aspect of the present invention, there is provided a search system comprising: a query analysis module for analyzing a query entered by a user to generate at least one query; Searching for a word associated with the search query in a term database based on a search query extracted from the query, generating a semantic network including the searched word and visually displaying the semantic network, A semantic network interaction module operative to cause an association query generated through an interaction combining search queries to be reflected and displayed in the semantic network; And an information retrieval module for retrieving the retrieval query generated in the query analysis module and the related query generated in the meaningful network interaction module in the information DB and outputting the result.

Further, the query analysis module according to the present invention includes an input unit for receiving a query from a user; And a query extracting unit for analyzing the input query and generating a search query for querying the information DB.

The semantic network interaction module according to the present invention is a module for searching a term DB for a word associated with the search query based on a search query extracted from the query analysis module and generating a semantic network including the searched word A network generating unit; A semantic network visualization unit for visually displaying words constituting the generated semantic network through an arbitrary display format; A semantic network interaction unit for generating an association query by combining a word and a search query according to input information input by a user through the semantic network and interacting with the semantic network to be displayed on the semantic network; And a term DB storing arbitrary word information.

In addition, the semantic network generator according to the present invention is characterized in that the semantic network generator extracts a word associated with a word having a high degree of similarity to a search query in a term DB.

In addition, the semantic network generator according to the present invention extracts additional words by querying the term DB with a predetermined number of words having a high degree of similarity to the extracted related words.

Also, the semantic network visualization unit according to the present invention is characterized in that the semantic network visualization unit is displayed through a node, which is a visualization object in which a word appears, and a visualization object linking the node.

In addition, the semantic network visualization unit according to the present invention is characterized in that the semantic network visualization unit visually displays at least one attribute of size, color, and shape according to a relationship between a word represented by the node and a query sentence.

Also, the semantic network visualization unit according to the present invention is characterized in that the node is visually displayed by activating or deactivating the node so that it is highlighted.

In addition, the semantic network visualization unit according to the present invention is characterized in that the similarity degree between the words, which the nodes connected by the link, is visually displayed by changing at least one of the length, thickness, color, and shape.

According to another aspect of the present invention, there is provided a search method comprising the steps of: a) generating a search query by analyzing a query sent from a user by a query analysis module; b) searching a word associated with the search query in a term DB based on a search query extracted from the query word in the semantic network interaction module, generating a semantic network including the searched word to be visually displayed, Reflecting an association query generated through an interaction that combines the word and a search query according to information to be input, on a semantic network; And c) the information retrieval module retrieves information from the information DB using the retrieval query generated in the query analysis module and the associated query generated in the meaningful network interaction module, and outputs the result.

In the step a), the query analysis module may receive a query from a user. And analyzing the input query and generating a search query for querying the information DB.

In the step b) according to the present invention, the semantic network interaction module searches the term DB for a word associated with the search query based on the search query extracted from the query analysis module, and transmits the semantic network including the searched word Generating a semantic network; A visualization step in which words constituting the generated meaning network are displayed through an arbitrary display format; And a visualization interaction step of generating an association query using a combination of a word and a search query according to input information input by a user through the displayed semantic network and displaying the generated query query on a semantic network.

Further, the semantic network generating step according to the present invention includes: extracting a query word constituting the query statement; Querying the term DB for words having a high degree of similarity with the query word and extracting an associated word; Extracting additional words by querying the term DB for words having a high degree of similarity for each of the extracted related words; And constructing a semantic network based on the words associated with the extracted query words.

In addition, the visualization step according to the present invention is characterized by connecting a node, which is a visualization object in which the word appears, and a link, which is a visualization object connecting the node, for display.

Further, the visualization interaction step according to the present invention may include an initial step of activating a node representing the query word among the displayed nodes to be visually highlighted, and deactivating the node representing the related word so as not to be highlighted; A toggle step of activating a deactivated node to be highlighted according to an input of the user or deactivating an activated node so as not to be highlighted; And a termination step of requesting an information search module to perform an information search based on words included in a currently activated node if the user does not input the information over a predetermined period of time.

In addition, the visualization interaction step according to the present invention is characterized in that, when an arbitrary node is moved through an input of a user, other nodes connected to the node through a link are moved together along a moving direction.

Further, the visualization interaction step according to the present invention is characterized in that, when enlargement or reduction of a visualization window is input from a user, the node and the link displayed in the visualization window are enlarged or reduced.

Further, the present invention is characterized in that as a recording medium, a program for performing visualization of a related term and an electronic information retrieval method through user interaction is stored, and the program is executed in a digital information processing apparatus.

The present invention is advantageous in that a user can visually confirm words matching a search purpose by providing a query keyword and an associated keyword in a form of a visual semantic network.

In addition, the present invention can construct a new query through a simple input based on a related word displayed by the user, so that the user and the search system can interact with each other to expand or contract the search query to form an optimal query statement There is an advantage.

Further, according to the present invention, the query is analyzed not by listing the related terms in text but by displaying the query in a form of a visual semantic network so that the user can understand what the word associated with the current query word is through the semantic network It has the advantage of visually confirming and analyzing the degree of association.

In addition, the present invention visually displays a selection to a user through activation and deactivation of a related word network displayed by visualization, so that a user can add or delete a query word to further construct a query that matches the user's intention There is an advantage.

In addition, the present invention has an advantage that a user can reach desired information more quickly and efficiently by constructing an optimal query statement.

1 is a block diagram illustrating the configuration of an electronic information retrieval system through visualization of a related term and user interaction according to the present invention.
2 is a block diagram showing a configuration of a query analysis module of the electronic information search system according to FIG.
3 is a block diagram illustrating a configuration of a semantic network interaction module of an electronic information retrieval system according to FIG.
FIG. 4 is an exemplary view of a search screen for explaining the electronic information search system according to FIG. 1; FIG.
FIG. 5 is an exemplary diagram illustrating a semantic network visualization screen of an electronic information retrieval process according to the present invention; FIG.
FIG. 6 is an exemplary view illustrating a visualization screen through interaction of an electronic information search process according to the present invention; FIG.
FIG. 7 is a flowchart illustrating an electronic information retrieval process through visualization of a related term and user interaction according to the present invention; FIG.
FIG. 8 is a flowchart illustrating a semantic network interaction process of an electronic information retrieval process according to the present invention. FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout.

The expression " comprising " or " including " any element in this specification means that it can include other elements, not excluding other elements.

Also, the terms "‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥‥" mean units that process at least one function or operation, and may be classified into hardware, software, or a combination of both.

FIG. 1 is a block diagram illustrating a configuration of an electronic information retrieval system through visualization of a related term and user interaction according to the present invention, FIG. 2 is a block diagram illustrating a configuration of a query analysis module of the electronic information retrieval system according to FIG. 1 , FIG. 3 is a block diagram illustrating a configuration of a meaningful network interaction module of the electronic information search system according to FIG. 1, FIG. 4 is an exemplary view of a search screen for explaining an electronic information search system according to FIG. 1, FIG. 6 is an exemplary diagram illustrating a visualization screen through interaction of an electronic information retrieval process according to an embodiment of the present invention. Referring to FIG.

1 to 6, a search system according to the present invention includes a query analysis module 100, a meaningful network interaction module 200, and an information search module 300, , A server, and the like.

The query analysis module 100 is configured to generate at least one search query by analyzing the query sent by the user 400 and includes an input unit 110 and a query extractor 120 .

The input unit 110 includes a keyboard, a mouse, a touch screen pad, and the like. The input unit 110 receives a query from the user 400.

The query extracting unit 120 generates a search query for querying the information DB 310 by analyzing a query sentence. The user can search the search query input window 510), a query necessary for searching such as keyword extraction from the input query is produced.

The retrieval query can extract a key word from a query sentence through a method of extracting only a noun included in the query sentence.

The semantic network interaction module 200 searches for a word associated with the search query in the term DB 240 based on the search query extracted from the query, generates a semantic network including the searched word, and displays the semantic network visually A semantic network generating unit 210, and a semantic network generating unit 210. The semantic network generating unit 210 generates a semantic network by associating the semantic network with the semantic network, A meaning network visualization unit 220, a meaningful network interaction unit 230, and a term DB 240. [

The semantic network generator 210 searches the term database 240 for a word associated with the search query based on the search query extracted by the query analysis module 100 and generates a semantic network including the searched word .

That is, the semantic network generating unit 210 generates a word network related to a search query. In order to search for a word related to a search query, words having high similarity to the search query are stored in a term database 240 ), And extracts the searched words.

At this time, the similarity calculation of the words related to the search query can be performed by a method based on the degree of cosine similarity of the word vectors, and again the words having high similarity for each related words are extracted from the term DB 240.

In addition, the process of extracting words having a high degree of similarity for each of the associated words may be performed a predetermined number of times so that the associated additional words do not infinitely increase. The similarity network between words may be adjusted according to the degree of similarity of the extracted words. .

The semantic network visualization unit 220 operates such that words constituting the generated semantic network are displayed visually through an arbitrary display format. The semantic network visualization unit 220 displays a search query input window 510 on the search screen 500, 523 and 525 which are visualization objects in which words appear in the visualization window 520 and the nodes 521, 523 and 525 are connected to display the relationship of the words Is displayed through links (522, 524) which are visualization objects that are shown.

That is, when a 'query word' is input to the search query input window 510, a connection network of words related to the 'query word' is formed in the visualization window 520 and is displayed on the user 400.

 In the present embodiment, the visualization objects are displayed through the nodes 521, 523, 525 and the visualization objects 522, 524 connecting the nodes 521, 523, 525, but the present invention is not limited thereto It will be apparent to those skilled in the art that the relationship between a word and a word can be changed in various formats.

That is, when the associated words are retrieved, a node representing each word is set, and the semantic network connected to the node and the link is displayed in the visualization window 520.

For example, if the 'A' and 'C' words displayed in the visualization window 520 are related to the query word and the 'B' word is a word related to the 'A' 521 and the words 'A' and 'B' are linked through links 522 and 524.

In addition, the 'D' word is associated with the 'C' word, but the 'B' and 'D' words may not be directly related to the query word.

Also, the semantic network visualization unit 220 can visually display the nodes 521, 523, and 525 so that the nodes 521, 523, and 525 are activated or deactivated so as not to be highlighted.

The semantic network visualization unit 220 may calculate the similarity between the words of the nodes 521, 523 and 525 connected to the links 522 and 524 by calculating the length of the links 522 and 524, 524, the color of the links 522, 524, and the shape of the links 522, 524 (solid line, dotted line, etc.).

523 and 525 according to the relation between the words indicated by the nodes 521, 523 and 525 and the query sentence, the semantic network visualization unit 220 can calculate the size of the nodes 521, 523 and 525, The color of the nodes 521, 523, 525, and the shape of the nodes 521, 523,

The semantic network interacting unit 230 generates an association query using a combination of words and a search query according to the input information input by the user 400 to be displayed on the semantic network.

That is, the semantic network interacting unit 230 changes a word to be active or inactive by a user's selection, or combines a search query with active words to generate a new association query.

The generation of the association query can constitute an association query by combining the search query and the active word in a non-combinational manner. However, the association query can be modified in various ways to generate an association query.

The semantic network interacting unit 230 may also click on the nodes 523 and 525 describing the words in the visualization window 520 or the links 522 and 524 connecting the nodes 523 and 525 Touch, or drag and drop operations are input, various operations such as enlargement, reduction, expansion, contraction, and layout change can be performed.

When the user 400 finds a word necessary for his / her purpose among related words displayed in the visualization window 520, the meaning network interaction unit 230 performs a material query including the corresponding word, Or to exclude unneeded words.

When the user 400 selects the nodes 523 and 525 in the visualization window 520 through the input unit 110 such as a mouse, the semantic network interacting unit 230 transmits the selected nodes 523 and 525 ) Is changed and displayed.

That is, as shown in FIG. 6, for example, when the node 525 showing the word 'B' is clicked, the activated node is deactivated or the inactive node is activated.

Also, the semantic network interaction unit 230 generates an association query using a combination of a word set of the activated node and a search query, and performs an operation such that the information search module 300 performs a query again based on the generated association curry do.

The term DB 240 comprises a database storing arbitrary word information.

The information search module 300 searches the information DB 310 for a search query generated by the query analysis module 100 and an association query generated by the semantic network interaction module 200, All known types of search engines can be used as information search module 300.

FIG. 7 is a flowchart illustrating a process of visualizing a related term according to the present invention and an electronic information retrieval process through user interaction, FIG. 8 is a flowchart illustrating a semantic network interaction process in an electronic information retrieval process according to the present invention, A search method according to the present invention will be described with reference to FIGS.

The electronic information retrieval method according to the present invention includes a step S100 of analyzing a query sent from the user analysis module 100 to generate a search query, A semantic network including the searched word is generated and displayed visually, and the semantic network including the searched word is displayed on the basis of the search query input from the user 400 (S200) of reflecting an association query generated through an interaction that combines the word and a search query on a semantic network (S200); and a step (S200) of displaying an association query generated through a search query (S300) of searching for information in the information DB 310 using the association query generated in the meaning network interaction module 200 and outputting the result It is configured.

In step S100 of generating the search query, when the query analysis module 100 receives a query input by the user 400 through the search query input window 510 of the search screen 500, And generates a query necessary for retrieval such as keyword extraction for querying the information DB 310. [

In operation S200, the semantic network interaction module 200 searches a term DB 240 for a word associated with the search query based on a search query extracted from the query analysis module 100, A semantic step S210 of generating a semantic network, a step S220 of displaying a word constituting the generated semantic network through an arbitrary display format, a semantic step S220 of inputting the semantic network displayed by the user 400 And a visualization interaction step (S230) of generating an association query using a combination of a word and a search query according to input information and displaying the association query on a semantic network.

In step S210, the semantic network interaction module 200 extracts a query word for constructing a query, and queries the term DB 240 for words having high similarity to the extracted query word to extract a related word.

Also, in step S210, it is possible to further extract the additional words by querying the term DB 240 for words having a high degree of similarity for each of the extracted related words.

In addition, in step S210, a semantic network is constructed based on the words associated with the extracted query words, and a process of extracting words having a high degree of similarity for each of the related words is performed a predetermined number of times so that the associated additional words are infinitely increased And a similarity network between the words is constructed according to the similarity of the extracted words.

In step S220, the extracted query words and related words are linked by visualization objects (nodes 521, 523, and 525) and links 522 and 524, which are visualization objects connecting the nodes 521, 523, do.

In step S230, the node that is visualized in step S220 and is displayed through the visualization window 520 of the search screen 500 is activated to visually highlight the node representing the query word, and the node representing the related word is deactivated .

Thereafter, when an input operation signal such as a click or a drag-and-drop operation for selecting an arbitrary node through the input unit 110 such as a mouse is input by the user 400, the disabled node is activated to be highlighted, To disable the highlight state.

In operation S230, when the user 400 selects an arbitrary node through the input operation signal and then moves the selected node, the other nodes connected to the selected node are moved together along the moving direction of the selected node.

In operation S230, when an input operation signal is input from the user 400 to enlarge or reduce the visualization window 520, the node and the link displayed in the visualization window 520 are enlarged or reduced.

Thereafter, when the user 400 does not input the input operation signal for a predetermined time or more, the information search module 300 is requested to perform the information search based on the word included in the currently activated node and terminates.

In addition, the above-described retrieval method is a program for performing an electronic information retrieval method through visualization of a related term and user interaction, and is stored in a recording medium such as an optical disc storage medium, a memory storage medium, and an on-line storage medium, And the stored program is configured to be executed in the digital information processing apparatus.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It can be understood that

In the course of the description of the embodiments of the present invention, the thicknesses of the lines and the sizes of the components shown in the drawings may be exaggerated for clarity and convenience of explanation, , Which may vary depending on the intention or custom of the user, the operator, and the interpretation of such terms should be based on the contents throughout this specification.

100: query analysis module 110: input unit
120: query extracting unit 200: semantic network interaction module
210: Semantic network generation unit 220: Semantic network visualization unit
230: Meaning network interaction part 240: Term DB
300: Information retrieval module 310: Information DB
400: User 500: Search Screen
510: search query input window 520: visualization window
521: node 522: link
523: node 524: link
525: Node

Claims (18)

A query analysis module (100) for analyzing a query sent by the user (400) and generating at least one query;
Searches for a word associated with the search query in a term DB 240 based on a search query extracted from the query, generates a semantic network including the searched word and visually displays the semantic network, A semantic network interaction module (200) operable to reflect and display an association query generated through an interaction that combines the word and a search query according to information, in a semantic network; And
An information search module 300 for searching the information DB 310 for a search query generated by the query analysis module 100 and an association query generated by the semantic network interaction module 200 and outputting a result, Electronic information retrieval system through visualization of terms and user interaction. The method according to claim 1,
The query analysis module 100 includes an input unit 110 for receiving a query from a user 400; And
And a query extracting unit (120) for analyzing the input query and generating a search query for querying the information DB (310). The method according to claim 1,
The semantic network interaction module 200 searches the term DB 240 for a word associated with the search query based on the search query extracted from the query analysis module 100, A semantic network generating unit 210 for generating a semantic network;
A semantic network visualization unit 220 for visually displaying words constituting the generated semantic network through an arbitrary display format;
A semantic network interaction unit 230 for generating an association query by combining a word and a search query according to input information input by the user 400 and interacting with the semantic network to be displayed on a semantic network; And
And a term database (240) storing arbitrary word information. The electronic information retrieval system according to claim 1, The method of claim 3,
The semantic network generation unit 210 queries a term DB 240 having a high degree of similarity to a search query and extracts a related word. The semantic network generation unit 210 visualizes the related term and user interaction. 5. The method of claim 4,
The semantic network generation unit 210 extracts additional words by querying the term DB 240 with a predetermined number of words having a high degree of similarity with respect to the extracted related words. Electronic information retrieval system. The method of claim 3,
The semantic network visualization unit 220 may be configured to display the visualization objects 521, 523 and 525 and visualization objects 522 and 524 connecting the nodes 521, 523 and 525, And the electronic information retrieval system through visualization and user interaction of a related term. The method according to claim 6,
The semantic network visualization unit 220 may visually display the semantic network visualization unit 220 through at least one attribute change in size, color, and shape according to the relationship between the words represented by the nodes 521, 523, and 525 and query sentences Electronic information retrieval system through visualization and user interaction of related terms. 8. The method of claim 7,
Wherein the semantic network visualizer 220 visually displays the nodes 521, 523, and 525 so that the nodes 521, 523, and 525 are activated or deactivated so as not to be highlighted. system. The method according to claim 6,
The semantic network visualization unit 220 may display similarity between words that the nodes 521, 523, and 525 connected to the links 522 and 524 are connected to each other through at least one attribute change of length, thickness, color, So that the user can visually display the related term. a) generating a search query by analyzing a query sent from the user analysis module (100) by the query analysis module (100);
b) a semantic network interaction module 200 searches for a word associated with the search query in the term DB 240 based on the search query extracted from the query, generates a semantic network including the searched word, Reflecting the association query generated through the interaction of combining the word and the search query according to the information input by the user 400 into the semantic network and displaying the semantic network; And
c) The information retrieval module 300 retrieves information from the information DB 310 using the retrieval query generated by the query analysis module 100 and the association query generated by the meaningful network interaction module 200, And outputting the result. The method of claim 1, 11. The method of claim 10,
In the step a), the query analysis module 100 receives a query from the user 400; And
And analyzing the input query to generate a search query for querying the information DB 310. The method of claim 1, 11. The method of claim 10,
In step b), the semantic network interaction module 200 searches a term DB 240 for a word associated with the search query based on a search query extracted from the query analysis module 100, A semantic network generation step of generating a semantic network;
A visualization step in which words constituting the generated meaning network are displayed through an arbitrary display format;
And a visualization interaction step of generating an association query using a combination of a word and a search query according to input information input by the user 400 to display the semantic network to be displayed on a semantic network. A method of electronic information retrieval through visualization and user interaction. 13. The method of claim 12,
Wherein the semantic network generating step comprises: extracting a query word constituting the query statement;
Querying the term DB 240 for words having a similarity to the query word and extracting a word associated therewith;
Extracting additional words by querying the term DB (240) for words having a high degree of similarity for each of the extracted related words; And
And constructing a semantic network based on a word associated with the extracted query word. 13. The method of claim 12,
The visualization step may be performed by connecting the nodes 521, 523 and 525 which are the visualized objects in which the word appears and the links 522 and 524 which are visualization objects connecting the nodes 521, 523 and 525, Visualization of related terms and electronic information retrieval through user interaction. 15. The method of claim 14,
The visualization interaction step activating the node representing the query word among the displayed nodes to be visually highlighted and deactivating the node representing the associated word so as not to be highlighted;
A toggle step of activating a deactivated node to be highlighted according to an input of the user (400), or deactivating an activated node so as not to be highlighted; And
And a termination step of requesting the information search module (300) to perform an information search based on words included in the currently activated node if the user (400) does not input the information over a predetermined period of time. A method of electronic information retrieval through visualization and user interaction. 15. The method of claim 14,
Wherein the visualization interaction step is such that when an arbitrary node is moved through the input of the user 400, the other nodes connected to the node through the link are moved together along the direction of movement. A method for retrieving electronic information through interaction. 15. The method of claim 14,
Wherein the visualization interaction step is operative to cause the nodes and links displayed in the visualization window (520) to expand or contract when the magnification or reduction of the visualization window (520) is entered from the user (400) And electronic information retrieval method through user interaction. A program for performing the search method according to any one of claims 10 to 17 is stored and the program is executed in a digital information processing apparatus. Stored recording medium.

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