JP4050205B2 - Service support apparatus and method - Google Patents

Description

  The present invention relates to a technique for easily performing an electronic procedure using an electronic form.

In Patent Literature 1, when there are input items common to a plurality of electronic forms, an electronic form for inputting common items is created and presented to the user, and data input to the forms is reflected in the plurality of electronic forms. The technology to be described is described. Thereby, the effort of the user input at the time of creating a some electronic form can be reduced.
JP 2002-109451 A

The technique described in Patent Document 1 has a certain effect in that the user does not have to input the same data many times. On the other hand, there is no description about a method for knowing which of the enormous forms the user is aiming at.
However, when various types of electronic forms are prepared, it is expected that the user first finds out which electronic form is necessary for the user before inputting the electronic form. For example, consider a case where a notification that a certain kind of welfare facility has been designated or a notification of establishment of a company is submitted to a local government in an electronic form. Local governments are preparing various electronic forms to deal with various reports, and the number is enormous. Therefore, it is not easy to find a target procedure form from a vast number of electronic forms.

  Of course, although it is possible for a system developer or other person who creates electronic forms to systematically sort various forms, it requires labor and cost. In the future, it is expected that local governments will accept various reports online. When that happens, it is expected that it will be beneficial for local governments and users if it is possible to provide support tools that help users find the desired electronic forms.

An object of the present invention is to generate a support tool for guiding a user to an electronic form intended by the user.
It is another object of the present invention to classify a huge amount of data according to the procedure contents.

In order to solve the above-described problems, the first invention of the present application provides the service support apparatus that includes the following means and is connected to a database via a network .
Multiple from the database name and each procedure is stored in association with the name of relying methods rely proceedings, reading means for reading the reliance Buddhist name of each procedure name and the procedure,
A classification means for classifying the plurality of legal procedures based on the name of the relying law of each procedure and a common language included in the procedure name to generate a classification system;
Generation means for generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedure;

Here, the classification means searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and includes the common name among the procedure names. When there is a further common word in a part other than the word, the common word search, node generation, and node name generation are repeated.
  For example, a procedure name classification system can be generated as follows.
1) The most common word among the words commonly included in each procedure name is searched, at least one first node corresponding to the searched common word is generated, the node name is set as the common word, and the common searched Cut words from procedure names.
2) With respect to the procedure name remaining after the common word is cut off, further common word search, generation of at least one second node located below the first node, generation of the node name, and cutting of the common word are performed.
3) The common word search, the generation of a node located below the generated node, the generation of the node name, and the cutting of the common word are repeated until there are no more common words in the procedure name remaining after the common word is cut off.
4) A link that connects the generated nodes based on the common word and the hierarchy is generated.

  This apparatus classifies legal procedures such as administrative procedures, and automatically generates a screen and a voice dialogue scenario for assisting a person who intends to take the procedures to search for an electronic form. These screens and voice dialogue scenarios guide the user trying to take the procedure to the electronic form for the desired procedure. By automatically generating a basic classification system and a screen corresponding to the basic classification system, it is possible to assist the user in reaching the target electronic form.

A second invention of the present application provides the service support apparatus according to the first invention, wherein the classification means generates a tree structure classification system based on each procedure name. Here, the tree structure classification system includes a plurality of hierarchies, nodes located in each hierarchy, names of the nodes, and links connecting the nodes. Furthermore, one procedure name is associated with the lowest layer node.
For example, the node names are generated so that the names of the nodes become more specific as they move from the upper hierarchy to the lower hierarchy in the tree structure classification system. For example, a screen in which each node name is linked in a tree shape can be presented using the generated node name.

According to another aspect of the present application, in the first invention or the second invention, the classifying unit provides a service support apparatus that classifies the plurality of legal procedures based on a method of relying on each procedure.
For example, the highest node is generated for each dependent law, and a group of procedures based on the same dependent law is hierarchically classified using a common language included in the procedure name. If there is a procedure name that does not have a common word with other procedure names in the procedures based on the same law, a classification can be generated to ensure that the user can reach the target procedure.

A third invention of the present application provides the service support apparatus according to the first invention, wherein the classification means stores a dictionary in which a word is associated with at least one word related to the word. The classification means analogizes an already classified classification system, a procedure name belonging to the classification system, and an unclassified procedure name related to the procedure name belonging to the classification system based on the dictionary. Furthermore, a procedure name classification system analogized according to the already generated classification system is generated.

  Procedures related to an event may span multiple laws. For example, the procedures for establishing a company and organizing the company are stipulated over the Commercial Registration Law and the Corporate Rehabilitation Law. From the user's side, it is preferable that electronic forms for taking necessary procedures are displayed one after another when “establishing a company” is designated. In such a case, after the system developer manually creates the classification of procedures related to the establishment of the company, the classification of the procedures related to “organization of the company” should be created based on the created classification. Can support.

  For example, a synonym of “arrangement” is searched based on a dictionary, and an attempt is made to embed a synonym in the name of the procedure “application for seal registration” related to the establishment of a company to determine whether the same name as an unclassified procedure can be created. First, nodes and links having the same system as the procedure classification system related to company organization are generated. Next, the same name “notification of seal registration abolition” as in the unclassified procedure is positioned as a node corresponding to the node where “application for seal registration” is located.

According to another aspect of the present application, in the second invention, the classification unit includes a name of a node immediately below the first node and a name of a node immediately below the second node among the nodes constituting the tree structure. And a service support apparatus that generates a third node, to which the first node and the second node belong together, above the first and second nodes.
For example, it is assumed that “designated application” and “notification of change” belong to both the first and second nodes. In this case, a third node is generated, and the third node is directly above the first and second nodes. For example, the generation unit can generate a screen indicating that the first and second nodes are immediately below the third node. Further, for example, the generation unit may generate a screen showing the first and second nodes in parallel. This is because the first node and the second node are considered to be highly related to each other, and by outputting both of them in association with each other, it is possible to support a user who searches for a target electronic form.

Another aspect of the present application provides the service support apparatus according to the first aspect, further comprising template storage means for storing a screen template and / or a voice interaction scenario template. Here, the generation unit generates the screen and / or the voice interaction scenario based on the screen template and / or the voice interaction scenario template.
Another aspect of the present application provides the service support apparatus according to the first invention, wherein the generation means further stores an output rule relating to output of a node name. Here, the generation means determines the arrangement order or output order of the node names based on the output rule. Further, the screen or the voice interaction scenario is generated according to any determined order.

A fourth invention of the present application is the service support apparatus according to the first invention, wherein the classification means receives a keyword specification, and calculates a degree of association between the name of a law that corresponds to a procedure name including the specified keyword and the keyword. I will provide a. Here, the generation unit generates a screen and / or a voice conversation scenario corresponding to the keyword in accordance with the degree of association between the relying law name and the keyword.

The fifth invention of this application is a service support method executed by a computer connected to a database via a network, and provides a service support method including the following steps.
- a plurality of said databases name and each procedure legal proceedings have been stored in association with the name of relying methods rely, a reading step of reading rely Buddhist name of each procedure name and the procedure,
A classification dependency method that classifies the procedure name for each dependent law name, generates a first node of a first layer corresponding to the dependent law name, and assigns the dependent law name to be classified to the first node. A decision step;
Search for common words included in the procedure name classified as the dependent law name to be classified, and generate a node corresponding to the common word that is a node of the layer located below the most recently generated layer. A common word search step for assigning the common word to the node name;
A repetition step of repeating the common language search step when there is a further common language in a part other than the common language in the procedure name;
A link generation step of generating a link that connects based on the common word searched for the generated node and the generated layer;
- a classification step of the plurality of generating a classification system of legal proceedings temporarily stores the classification system,
An image and / or voice interaction scenario template is stored for each layer, and a common word associated with each node located in the layer and the layer above the layer is inserted into the template, A generation step of generating a screen group and / or a voice interaction scenario corresponding to the classification system of procedures.

The sixth invention of the present application provides a service support program for causing a computer connected to a database via a network to function as the following means.
Multiple from the database name and each procedure is stored in association with the name of relying methods rely proceedings, reading means for reading the reliance Buddhist name of each procedure name and the procedure,
A classification means for classifying the plurality of legal procedures based on the name of the relying law of each procedure and a common language included in the procedure name to generate a classification system;
Generation means for generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedure;

Here, the classification means searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and the common name among the procedure names When there is a further common word in a part other than the word, the common word search, node generation, and node name generation are repeated.
The seventh invention of the present application provides a computer-readable recording medium recording a service support program that causes a computer connected to a database via a network to execute the following steps.
Multiple from the database name and each procedure is stored in association with the name of relying methods rely proceedings, reading step of reading rely Buddhist name of each procedure name and the procedure,
A classification step of generating a classification system by classifying the plurality of legal procedures based on the name of the relying law of each procedure and a common language included in the procedure name ;
A generating step of generating a screen group and / or a voice dialogue scenario corresponding to the classification system of the procedure;

Here, the classification step searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and includes the common word among the procedure names. If there is a further common word in the part other than, the common word search, node generation and node name generation are repeated.

  It is possible to classify a huge number of procedures and generate a support tool for assisting a person who wants to perform the procedure to reach the target procedure.

<Outline of the invention>
The service support apparatus according to the present invention generates a classification system by classifying a large number of procedures based on laws (hereinafter simply referred to as legal procedures). Further, this apparatus generates a screen and a voice dialogue scenario (hereinafter referred to as a guidance tool) for guiding a procedure person to a desired electronic form according to a classification system. The desired electronic form is an input form for a person who intends to proceed (hereinafter referred to as a procedure person) to take a desired procedure.

A procedure database (DB) or its contents, which associates the names of legal procedures to be classified with the names of the relying laws on which each procedure relies, is provided by government agencies such as the Ministry of Internal Affairs and Communications and local governments. Yes. The service support apparatus generates a classification system and a guidance tool according to the following procedure.
1) Read each procedure name and the name of the law on which each procedure is based from the procedure DB (reading means)
2) Classify legal procedures to generate a classification system (classification means)
3) A screen group and / or a voice dialogue scenario corresponding to the procedure classification system is generated (generation means).

Since such a service support apparatus automatically generates a classification system and a guidance tool corresponding to the classification system, it is possible to assist the user in searching for the target electronic form.
<First embodiment>
1. Overall Configuration FIG. 1 is a functional configuration diagram of a service support apparatus according to a first embodiment of the present invention. The service support apparatus 1 is connected to the procedure DB 2 via a network 3 such as the Internet or a circuit switching network. The procedure DB 2 and its contents are provided by a government agency such as a national or local government. FIG. 2 is an example of part of the content stored in the procedure DB 2. In the procedure DB 2, at least the procedure name and the name of the relying law on which each procedure depends are stored in association with each other. In this example, in addition to the name of the procedure and the name of the law to be relied upon, the name of the ministry concerned with each procedure is stored.

2. Functional Configuration of Service Support Device The service support device 1 will be described with reference to FIG. 1 again. The service support apparatus 1 includes a reading unit 11, a classification unit 12, a generation unit 13, a DB management unit 14, a template DB 15, an output rule table 16, and a classification DB 17. Specifically, the service support apparatus 1 is a computer. The CPU that executes the program stored in the hard disk of the computer functions as each unit described above. In addition, a storage device included in the computer, such as a hard disk or a ROM, functions as each DB and table. Hereinafter, each unit, DB, and table will be described for each function of the service support apparatus 1.

(1) Reading of data The reading unit 11 reads the procedure name and the name of the relying law stored in the procedure DB 2 and temporarily stores them. The reading unit 11 may write the read contents of the procedure DB 2 in a storage device (not shown) such as a hard disk included in the service support apparatus 1.
(2) Generation of classification system The classification unit 12 classifies a plurality of procedure names read from the procedure DB 2 to generate a classification system. The generated classification system is written into the classification DB 17 by the DB management unit 14. More specifically, the classification unit 12 generates a tree-structured classification system based on each procedure name. The generated tree structure classification system includes at least a plurality of layers, nodes located in each layer, names of the nodes, and links connecting the nodes. One procedure name is associated with the lowermost node.

  FIG. 3 is an example of a tree structure classification system generated from the procedure names shown in FIG. Each node is identified by a node ID such as N1, N21, N31. Examples of methods for generating such a tree-structured classification system include a method of classifying procedure names based on the relying law, and a method of classifying procedure names based on the procedure name itself. Details of each method will be described later (see “(4) Specific example of classification system generation method” described later).

(3) Generation of guidance tool The generation unit 13 generates a guidance tool corresponding to the procedure classification system generated by the classification unit 12. The generated classification system is written into the classification DB 17 by the DB management unit 14. As a guidance tool, a screen group or a voice dialogue scenario can be considered. The guidance tool is created so that the screens and voice messages output by these guidance tools shift from the one corresponding to the upper layer side node to the one corresponding to the lower layer side node.

[Relationship between guidance tool and classification system]
More specifically, each screen or voice message that constitutes the guidance tool guides the procedure person from the uppermost layer of the tree structure to a lower layer, and finally one of the nodes of the lowermost layer Generated to guide the procedural person. For example, on the screen corresponding to a certain node, the node name belonging to the node is described together with the node name. A link is embedded in each lower node name to enable transition to a screen corresponding to the node name. FIG. 4A is an example of the screen generated in this way. This screen example is a screen generated based on the classification system shown in FIG. 3 and corresponding to the node “license”. This screen shows that three nodes belong directly under the node “license”. This screen accepts selection of any node name. When any node name is selected, a screen corresponding to that node is displayed. The screen corresponding to the node of the lowest layer is an electronic form for performing the procedure.

  Similarly, each voice message in a voice interaction scenario corresponds to a node and includes that node and the node name directly below that node. Each voice message includes a link, and transition to a voice message corresponding to the selected node name is possible. FIG. 4B shows one voice message generated in this way. This screen example is a voice message generated based on the classification system shown in FIG. 3 and corresponding to the node “license”. This message notifies that three nodes belong directly under the node “license”. This voice message accepts selection of any node name. When a node name is selected, a voice message corresponding to the selected node name is output. For selection of a node located in the lowest layer, an electronic form for performing the procedure is output.

Of course, an output form combining a screen and a voice message is also possible.
[Generation of guidance tools using templates]
The generation unit 13 generates a guidance tool as follows, for example. First, a template DB 15 for storing a screen template and / or a voice dialogue scenario template is provided in the service support apparatus 1. The generation unit 13 generates the screen and / or the voice interaction scenario based on the screen template and / or the voice interaction scenario template stored in the template DB 15. Details of the generation of the guidance tool using the template will be described later (see “(5) Specific example of generation of guidance tool using template” described later).

[Generating guidance tools based on output rules]
Preferably, the generation unit 13 determines the arrangement order or output order of the node names based on the output rule table 16. Further, the generation unit 13 generates a screen or a voice interaction scenario according to any determined order. Here, the output rule table 16 stores output rules relating to output of node names. The output rule table 16 is stored in the ROM of the service support apparatus 1 or the like.

  FIG. 5 is an explanatory diagram showing a specific example of the output rule table 16. In this example, the procedure name A including the word whose output order is “before” is arranged before or output before the procedure name B including the word whose output order is “after”. However, the procedure name A and the procedure name B are common except for the words registered in the output rule table 16. For example, when the procedure name A “XX application” and the procedure name B “XX notification” are arranged on the same screen, the procedure name A is arranged on the left side or above the procedure name B. For example, when the procedure name A “XX application” and the procedure name B “XX notification” are output in the same voice message, the procedure name A is output before the procedure name B.

  The output rule will be described in detail with reference to FIG. 4 again. FIG. 4A shows an example of a screen created according to the output rule of FIG. FIG. 5B shows a voice message created according to the output rule of FIG. These screens are generated based on the classification system of FIG. For example, referring to FIG. 5A, the procedure name “application for issuing a cleaning license” and “application for reissuing the cleaning license” are included in the same screen. On the other hand, the output rule table 16 of FIG. 5 defines that the procedure name including “delivery” is output before the procedure name including “re-issue”. Therefore, when generating a screen as a guidance tool, the generation unit 13 arranges “application for reissuing of a cleaning license” on the right side or below “application for issuing of a cleaning license”. When generating the voice message, the generating unit 13 outputs “application for reissuing of the cleaning license” after “application for issuing the cleaning license”.

(4) Specific example of classification system generation method The classification method executed by the classification unit 12 will be described more specifically.
[Method of classifying procedure names based on the Dependent Law]
In the method of classifying procedure names based on the relying laws, for example, a node corresponding to each relying method is generated in layer 1 which is the highest layer. Next, a node corresponding to the procedure name based on each relying law is generated in layer 2 which is the second layer. Further, a link is generated that connects a node corresponding to each relying law and a node corresponding to the procedure name based on the relying law. When classification based on the reliance law is performed in this way, procedures based on the same law can belong to the same node without omission.

[Method for classifying procedure names based on the procedure name itself]
In the method of classifying procedure names based on the procedure name itself, a layer is formed using a common language included in the procedure name. First, the most common common word is searched for among the words commonly included in each procedure name. A node corresponding to the searched common word is generated in any layer, for example, layer 1, and the node name is set as the common word. That is, (node name) = (common language). Further, the searched common word is cut out from each of the procedure names including the common word.

  Next, with respect to the procedure name remaining after the common word is cut, further common word search, generation of a node in the lower layer of the generated layer, generation of a node name, and cutting of the common word are performed in the same manner. The common word search, the generation of nodes in the lower layer, the generation of node names, and the cutting of common words are repeated until there are no more common words in the procedure names remaining after the common words are cut off.

Finally, a link that connects the generated nodes is generated based on the common word and the layer.
[Concrete example]
With reference to FIG. 3 again, a method for classifying procedure names based on the procedure names themselves will be described in detail. This figure shows the procedure name classification system shown in FIG. Each node is identified by node identifiers N1, N2,. To generate this classification system:

Generation of layer 1, node N1:
First, the common word “cleaning”, which is the most common among the procedure names shown in FIG. 2, is searched to generate a node N1 “cleaning” of layer 1. “Cleaning” is removed from the procedure name including “cleaning” in the procedure name. All procedures including “cleaning” in the original procedure name belong to the node N1 “cleaning”.

Generation of layer 2, node N21:
The most common common word “teacher” is searched from the remaining procedure names from which “cleaning” has been cut off, and the node N21 “teacher” of layer 2 is generated. From the name of the procedure that includes “master”, “master” is further deleted. The node N21 “teacher” includes all procedures including “cleaning” and “teacher” in the original procedure name.

Generation of layer 2, node N22:
Of the remaining procedure names cut out from “cleaning”, the node N22 “location” of the layer 2 is generated corresponding to the common word “location” which is the most common among the procedure names not including “teacher”. Further delete “place” from the procedure name including “place”. The node N22 “location” includes all procedures including “cleaning” and “location” in the original procedure name.

Generation of layer 3, nodes N31 and N32:
Corresponding to the common words “designated testing institution” and “license” among the remaining procedure names from which “cleaning” and “teacher” are cut off, the nodes N31 and N32 of the layer 3 are generated. Further delete “designated testing institution” or “license” from the procedure name including “designated testing institution” or “license”. The node N31 “designated testing institution” includes all procedures including “cleaning”, “teacher”, and “designated testing institution” in the original procedure name. The node N32 includes all procedures including “cleaning”, “teacher”, and “license” in the original procedure name.

Generation of layer 3, node N33:
Of the remaining procedure names from which “cleaning” and “teacher” have been cut off, the layer corresponding to the most common language “exam” among the procedure names that do not include “designated testing institution” and “license” 3 node N33 “test” is generated. “Procedure” is further deleted from the procedure name including “Exam”. The node N33 “examination” includes all procedures including “cleaning”, “teacher”, and “examination” in the original procedure name.

Generation of layer 4, nodes N401 to N408:
The procedure names belonging to the node N31 “designated test organization” no longer contain any common language. Therefore, layer 4 nodes N401 to N403 are generated corresponding to the respective procedure names. Each node name is a remainder obtained by cutting “cleaning”, “teacher”, and “designated testing institution” from the original procedure name. For example, if the original procedure name is “submitting the cleaning agency designated test organization business report”, the node name is “submitting business report”. Similarly, nodes N404 to N406 belonging to the node N32 “license” and nodes N407 to 408 belonging to the node N33 “test” are generated.

Generation of layer 4, nodes N409-N412:
The procedure names belonging to the node N22 “place” no longer contain any common language. Therefore, the nodes N409 to N412 of the layer 4 are generated corresponding to each procedure name. In order to position all the nodes corresponding to the remaining procedure names obtained by cutting off the common word that has become the node name in the same layer, the node below the node N22 of the layer 2 is assumed to be the layer 4. In this example, the remaining procedure names from which “cleaning” and “place” are cut off, for example, nodes corresponding to “open notification” are positioned in the layer 4.

A link connecting each node is generated so as to become a procedure name when the node names are connected while following the link from the upper layer to the lower layer.
(5) Specific example of generation of guidance tool using template Next, generation of the guidance tool by the generation unit 13 will be described with a specific example.
[Screen example]
FIG. 6 shows an example of a screen template for creating a guidance tool. The screen template is preferably prepared for each layer. Screen templates shown in FIGS. 6A, 6B, and 6C are screen templates for layer 1, layer 2, and layer 3, respectively. The node name of the classification system is inserted in the worm-eaten portion on the screen. Although not shown, a template describing a link to another screen is embedded in each worm-eaten portion.

  FIG. 7 is an example of a screen generated using the screen template shown in FIG. This screen example is a screen example generated corresponding to the tree structure classification system shown in FIG. The screen (b) corresponding to the node “cleaning” of the layer 1 displays the nodes “teacher” and “place” immediately below “cleaning”. A link is embedded in each node name, and screen transition is enabled as indicated by a broken line in the figure. For example, in the node “teacher”, a link to a screen corresponding to the node “teacher” shown in FIG. The screen of FIG. 4D displays the names of the three nodes immediately below the node “teacher”. A link is embedded in each node name, and transition to FIGS. (E), (f), and (g) is possible according to the selected node name.

[Example of voice message]
FIG. 8 shows an example of a voice scenario template for creating a guidance tool. An audio scenario template is preferably prepared for each layer. The voice scenario templates shown in FIGS. 8A, 8B, and 8C are templates for layer 1, layer 2, and layer 3, respectively. The node name of the classification system is inserted into the worm-eaten part in the voice message. Further, although not shown in the figure, a template describing a transition to another voice message is embedded in each worm-eaten portion.

  FIG. 9 is an example of a voice message generated using the voice scenario template shown in FIG. This screen example is a screen example generated corresponding to the tree structure classification system shown in FIG. In each voice message, a description designating transition to another voice message is embedded, and the voice message can be changed as indicated by a broken line in the figure. FIG. 5B shows a voice message corresponding to the node “cleaning” of layer 1. This message outputs “cleaner” and “cleaning place” corresponding to the nodes “teacher” and “place” directly under “cleaning”, and accepts either selection. Each node name corresponds to another voice message, and the next voice message is output according to the selected node name. For example, when the node “teacher” is selected, a voice message shown in FIG. The voice message in FIG. 6D accepts selection of three node names immediately below the node “teacher”. The voice messages shown in (e), (f), and (g) of FIG.

3. Flow of processing performed by service support device [Main routine]
FIG. 10 is a flowchart showing an example of the flow of the main routine performed by the service support apparatus 1. This process is started, for example, when the service support apparatus 1 receives an instruction to start the process.

Step S1: The reading unit 11 reads the procedure name and its dependent law name from the procedure DB2. The read data is temporarily stored in a RAM (not shown).
Step S2: The classification unit 12 classifies the procedure names as described above to generate a tree structure classification system. The generated classification system is temporarily stored in a RAM (not shown) or the like.

Step S3: The generation unit 13 generates a guidance tool corresponding to the tree structure. That is, screens and voice messages corresponding to each node are generated, and links between the screens and associations between the voice messages are generated. The generated guidance tool is temporarily stored in a RAM (not shown) or the like.
Step S4: The DB management unit 14 writes the generated classification system and guidance tool in the classification DB 17.

[Classification subroutine]
FIG. 11 is a flowchart showing an example of the flow of the classification subroutine. This figure shows an example in which each procedure name is first summarized for each relying law, and classification based on each procedure name is performed within the same relying law. This process is started when the process proceeds to step S2 in the main routine.

Step S21: The classification unit 12 classifies the procedure name and the dependent law name read from the procedure DB 2 for each dependent law, and generates a layer 1 node corresponding to each dependent law.
Step S22: The classification unit 12 determines which relying method is to be classified.
Step S23: The classification unit 12 searches for the most common words included in the procedure names that depend on the relying method to be classified. Further, the common language is cut out from the procedure name including the common language.

Step S24: The classification unit 12 generates a node corresponding to the searched common word. The searched common word becomes the node name. A link that connects this node and the node of the dependent law name is generated.
Step S25: The classification unit 12 searches whether or not another common language is included in the procedure name that relies on the relying method to be classified. If another common word is included, the process returns to step S23, and the common word search, the cut-out from the procedure name, and the node and link generation are repeated. As a result, the lower layers of the law name nodes are generated one after another, and a tree structure is formed.

Step S26: The classification unit 12 determines whether classification has been performed for all the relying methods. When classification for all relying methods is completed, the process returns to step S3 of the main routine.
As described above, by performing classification based on the relying law and procedure name, it is possible to generate a tree structure classification system and a guidance tool in accordance with the classification system. By using this guidance tool, it is possible to assist the procedure maker in reaching the target electronic form.

<Second Embodiment>
1. Outline of this Embodiment The service support apparatus according to the second embodiment applies the already generated classification system to the classification of unclassified procedure names. Depending on the event that occurred to the procedural, procedures may be required across multiple laws. For example, various procedures based on multiple laws are required to establish a company, abolish the company, or move with marriage. In such a case, it is convenient to have a system in which electronic forms of necessary procedures are presented one after another when a procedure person selects an event. However, in order to do so, it is necessary to generate nodes for a plurality of procedure names that depend on different laws, and to link the nodes in order. Such a classification system will eventually be generated manually. Instead, the service support apparatus according to the present embodiment generates a new classification system by applying a classification system once generated by a human hand to other unclassified procedure names.

2. Functional Configuration FIG. 12 is a functional block diagram of the service support apparatus 1 of the present embodiment. In addition to the same functions as those in the first embodiment, the service support apparatus 1 further includes an input reception unit 18, a second classification unit 19, and a dictionary DB 110. The second classification unit 19 is provided in place of the classification unit 12. In the figure, the same functions as those in the first embodiment are denoted by the same reference numerals.

  The dictionary DB 110 stores a word and at least one word related to the word in association with each other. The input receiving unit 18 receives the generation / change of the procedure name classification system by the user of the service support apparatus 1. The input result and the change result are written into the classification DB 17 by the DB management unit 14. The second classification unit 19 generates a tree-structured classification system based on the procedure name and the name of the relying law. Further, among the procedure names read out from the procedure DB 2, an unclassified procedure name related to the already classified procedure is inferred based on the already generated classification system and dictionary. The second classification unit 19 generates a classification system for the unclassified procedure names based on the analogy result. The generation unit 13 generates a guidance tool corresponding to a classification system generated by manual input or a classification system generated based on the classification system, as described above.

[Concrete example]
An example of generating a classification system for unclassified procedure names using a classification system that has already been generated will be specifically described with reference to the drawings. In the following example, a case will be described in which a procedure classification system relating to company organization is generated based on a procedure classification system relating to company establishment.
FIG. 13 (a) shows an example of the name of a procedure necessary for the establishment of a company and the name of its law. FIG. 2B shows an example of the procedure name necessary for company organization and its dependent law. It is shown that the procedures necessary for establishing a company and organizing the company span multiple laws.

  FIG. 14 is an example of content stored in the dictionary DB 17. In this example, the dictionary DB 17 stores a certain word and a word similar to the word in association with each other. In this example, “establishment” is associated with words such as “abolition”, “dissolution”, and “loss”. The example of the dictionary DB is not limited to this. A dictionary that stores a word and a word having the opposite meaning to the word in association with each other may be used. Moreover, the dictionary which links | relates and memorize | stores a certain word and another word relevant in law may be sufficient.

  FIG. 15 shows unclassified procedure names related to company organization searched by the second classification unit 19. The search is performed based on the procedure name for establishing the company and the dictionary DB 17. The search is performed as follows. First, the second classification unit 19 generates nodes and links having the same tree structure as the classification system A of procedures related to company organization. The classification system A is stored in the classification DB 17. Next, the dictionary DB 110 is searched for a synonym of “arrangement”, for example, “abolition”. Furthermore, the retrieved synonym is embedded in one of the procedure names related to the establishment of the company, for example, “application for seal registration”, and the character string “notification of seal registration abolition” is generated. If the generated character string matches any of the unclassified procedure names, the unclassified procedure name “notification of seal registration abolition” is positioned as a node corresponding to the node of “seal registration application”. The same processing is performed for all the combinations of all synonyms of “organization” and the procedure names related to the establishment of the company. As a result, it is possible to create a relationship as shown in FIG. 15 by associating the procedure name related to the establishment of the company with the procedure name related to the organization of the company.

FIG. 16A shows a procedure name classification system for establishing a company. FIG. 4B shows a procedure name classification system for company organization. The position of the “seal registration abolition notification” node in the tree structure matches the position of the “seal registration application” node shown in FIG. In this way, unclassified procedures that span multiple laws can be automatically classified.
3. Process Flow FIG. 17 is a flowchart illustrating an example of the flow of a main routine performed by the service support apparatus 1 according to the present embodiment.

Step S31: The reading unit 11 reads the administrative procedure and its dependent law from the procedure DB2. The read data is temporarily stored in a RAM (not shown).
Step S32: The second classification unit 19 classifies the procedure names as in the first embodiment, and generates a tree structure classification system. The generated classification system is temporarily stored in a RAM (not shown) or the like. In this step, the above-described classification subroutine is executed.

  Step S33: The input receiving unit 18 receives an instruction from the user of the service support apparatus 1 as to whether or not to manually generate a classification system. Whether or not this instruction has been made can be determined by determining whether or not the “edit” button has been pressed in the screen example shown in FIG. Moreover, it is preferable that the input reception unit 18 receives an event name. In the screen example shown in FIG. 16A, “establish company” is selected and input as the event name.

Step S34: The input reception unit 18 receives an instruction to end generation of the classification system with a button on a screen (not shown).
Step S35: The second classification unit 19 receives an instruction as to whether or not to apply the manually generated classification system to an unclassified procedure. Whether or not this instruction has been made can be determined by, for example, determining whether or not the “one-stop execution procedure” button has been pressed in the screen example of FIG.

Step S36: The second classification unit 19 generates nodes and links having the same structure as the generated classification system.
Step S37: The second classification unit 19 searches for unclassified procedure names corresponding to the classified procedure names. That is, the synonym of the event name is searched from the dictionary DB 110, and it is determined whether or not the character string in which the synonym is inserted into each classified procedure name matches any of the unclassified procedure names.

Step S38: The second classification unit 19 positions the retrieved procedure name at a predetermined node in the tree structure. The predetermined node is a node corresponding to a procedure name node corresponding to the retrieved procedure name.
Step S39: The input reception unit 18 outputs the newly generated classification system on the screen. FIG. 16B is an example of the screen.

Step S40: The input receiving unit 18 receives editing of a newly generated classification system. For example, on the screen shown in FIG. 16B, an instruction to assign a procedure name to a generated node can be accepted.
Step S41: The generation unit 13 generates a guidance tool corresponding to the classification system that has been edited.

Step S42: The DB management unit 14 stores the completed classification system and guidance tool in the classification DB 17.
As described above, it is possible to automatically classify procedure names that cannot be categorized only by relying laws and procedure names.
<Third Embodiment>
The service support apparatus according to the third embodiment can group the procedures based on the action of the procedure.

1. Functional Configuration of Service Support Device FIG. 18 is a functional block diagram of the service support device 1 according to the present embodiment. The service support apparatus 1 has a third classification unit 111 instead of the classification unit 12. In the figure, the same functions as those in the first embodiment are denoted by the same reference numerals.
Similar to the classification unit 12 of the first embodiment, the third classification unit 111 generates a tree-structured classification system based on the procedure name and the relying method. In addition, the third classification unit 111 receives a keyword specification and generates a classification system for searching for a target procedure name from the keyword. The third classification unit 111 extracts a procedure name including the designated keyword, and extracts a procedure object and a procedure action from the extracted procedure name. Then, the procedure names having similar procedure actions are grouped. More specifically, when there are a plurality of procedural actions having a common procedural object, the procedural objects whose procedural actions are similar to each other are grouped into the same group. Procedural objects belonging to the same group are further classified based on common language and relying law. The guidance tool according to the generated classification system can be generated by the generation unit 13 as in the first embodiment.

[Concrete example]
Next, generation of a classification system for searching for a target procedure name from a keyword will be specifically described. In the following, the generation of a classification system for searching for a target procedure name using “care” as a keyword will be taken as an example.
FIG. 19 shows a part of the procedure name including the keyword “care”. As shown in the figure, there are a plurality of procedure names including “care”. Not all of them rely on the same law, but there are multiple names of relying law.

  FIG. 20 shows the result of the third classification unit 111 extracting the procedure object and the procedure action from the procedure name. The object of the procedure and the procedural action can be extracted as follows, for example. First, a predetermined pattern “application for XX”, “notification of XX”, “notification of XX”, and the like are stored as procedural action patterns. A character string corresponding to one of the above patterns in the procedure name is defined as a procedure action. Among other character strings, a character string excluding “no” arranged immediately before the procedural action may be regarded as a target of the procedure.

  FIGS. 21A and 22A show that the procedure names shown in FIGS. 19 and 20 are grouped according to the similarity of procedure actions. In FIG. 21 (a), the “designated short-term entrance nursing care provider”, “designated short-term entrance care provider”, and “designated dementia-compatible cohabitation provider” are grouped into the same group. Indicates that Since the procedural actions corresponding to these three procedural objects are the same, the three parties are grouped into the same group. FIG. 22A shows that “business for mother and child home care” and “business for widow home care” are grouped into the same group. Since the procedural actions extracted from these two procedural targets are the same, they are grouped into the same group. Note that not all procedural actions included in the grouped procedure names need to match. For example, a rule may be provided such that the procedure objects are grouped when the degree of coincidence of procedural actions exceeds a predetermined threshold.

  FIG. 21B shows that a node corresponding to a group is generated and that three procedure names belonging to the same group are subgrouped. When a node corresponding to a group including three procedure names is generated, a node name is further generated. In this example, “designated short-term entrance care provider”, “designated short-term care provider”, and “designated dementia-compatible cohabitation provider” are “designated” and “care provider” as common words. Therefore, the node name is “designated care provider”. In addition, common language other than “nursing care” is included in “designated short-term entrance life care provider” and “designated short-term entrance care provider” among the procedures in the group. These two contain the common word “short term admission”. Therefore, a subgroup including these two is formed, and a node “short-term entrance” corresponding to the subgroup is generated. Two procedure objects belong to this node. In addition, a node “others” is generated corresponding to the procedure target “designated dementia-compatible cohabitation care provider” that does not include “short-term admission”. Under each procedure target node, a node of a procedure action corresponding to each procedure target is generated.

  FIG. 22B shows that nodes corresponding to the same group are generated. When a node corresponding to a group including two procedure objects is generated, a node name is further generated. In this example, the node name is the common word “business for home care” for both procedures. In addition, since there are no more common languages for both procedures, the nodes for each procedure belong to the node “Home Care Business”. Furthermore, a node of a procedure action corresponding to each procedure object is generated under each procedure object node.

  If there is no common word in the same group, there is a method using a relying method as a method for determining a node name corresponding to the group. When all the procedure names in the group are based on the same relying law, the relying law name may be the name of the node corresponding to the group. Further, when there is no common language among the procedure objects in the same group, the procedure objects may be further sub-grouped based on the name of the relying law corresponding to the procedure object.

  FIG. 23 is a conceptual explanatory diagram of a classification system that is finally generated as a result of classification of procedure names including “care” as described above. A node name “care” is generated in the node of layer 1, and a node corresponding to a group having a similar procedural action is generated below the node name. The node name of each group is a common language included in the object of the procedure in the group, or the name of the law on which all procedure names in the group depend. Each group is further sub-grouped based on the common language included in the procedure object. In each procedure target node, a procedure action node corresponding to the procedure target is generated.

FIG. 24 is an example of a guidance tool screen generated corresponding to the classification system shown in FIG. As in this example, it is preferable to set different indents for each layer in the screen template in advance so that the node names can be expressed in a display form corresponding to the tree structure.
2. Process Flow FIG. 25 is a flowchart illustrating an example of the flow of a classification subroutine performed by the service support apparatus 1 of the present embodiment. The service support apparatus 1 according to the present embodiment can execute the processing shown in this figure in addition to the classification subroutine shown in FIG. 11 in the main routine described above.

Step S51: The third classification unit 111 accepts a keyword specification from the operator of the service support apparatus 1. Here, a case where “care” is designated as a keyword will be described.
Step S52: The third classification unit 111 extracts all of the procedure names read from the procedure DB 2 that include the keyword “care”. In addition, the method of relying on the procedure name including “care” is also extracted.

Step S53: The third classification unit 111 extracts a procedure object and a procedure action from the extracted procedure name.
Step S54: The third classification unit 111 groups procedural objects having similar procedural actions.
Step S55: The third classification unit 111 sequentially specifies the group to be processed in order to further group the procedure objects of the generated groups.

Steps S56 and S57: The third classification unit 111 determines whether or not there is a common language in a part of the procedure objects in the processing target group (S56). If there is, the procedure object including the common language is subgrouped (S57). If there is no common language in the procedure target, the process proceeds to step S58.
Step S58: The third classification unit 111 determines whether or not a part of the procedure objects in the processing target group depends on the same law. If some of the procedure names are the same, the procedure objects are subgrouped (S59). If all the dependent law examples of the procedure target in the group are different, the process proceeds to step S60.

  Step S60: The third classification unit 111 generates a node for each of the keyword “care”, the generated group or subgroup, the procedure object, and the procedure action corresponding to the procedure object, and links the nodes. There is no need to create an existing node. As described above, a common language or a law name can be used as a node name of a group or subgroup.

Step S61: The third classification unit 111 determines whether or not classification has been performed for all groups. When classification for all groups is completed, the process returns to the main routine.
As described above, a classification system based on keywords can be generated. When the guidance tool is generated based on the classification system generated in this way, the procedure person can search for the target electronic form based on the keyword without knowing the law name. Further, by grouping together procedure names having similar procedure actions, similar procedure names can be presented together to the procedure operator, thereby enabling accurate guidance to the target procedure.

<Example of Fourth Embodiment>
As another classification method using keywords and a method for generating a guidance tool, the following methods can be given. First, a node of a relying law on which a procedure name including a keyword depends is generated under the keyword node. A node of a procedure included in each dependent law is generated under each dependent law node. Then, the degree of association with the keyword is calculated for each relying method on which the procedure name including the keyword depends. Then, each relying law is presented to the procedural in descending order of relevance.

  FIG. 26 is an example of the calculation result of the degree of association between the dependency method on which the procedure name including the keyword depends and the keyword. In this example, the number of procedure names including the keyword “care” (A), the number of procedure names not including the keyword “care” (B), the ratio of (A) and (B) ((B) / (A )), And the ratio ((B) / (A)) order is calculated for each name of the relying law. These values can be calculated by the third classification unit 111.

FIG. 27 is an example of a screen generated as a guidance tool. The generation unit 13 generates a screen that displays the name of the law on which the procedure name including the keyword “care” depends, in the order of ratio ((B) / (A)).
In this way, if the procedure person designates the keyword “care”, the reliance method related to “care” can be viewed in descending order of relevance to care.

<Other embodiments>
(A) A classification system and a guidance tool may be generated by arbitrarily combining the embodiments.
(B) A program for executing the above-described data synchronization method on a computer and a computer-readable recording medium recording the program are included in the present invention. Here, examples of the recording medium include a computer readable / writable flexible disk, hard disk, semiconductor memory, CD-ROM, DVD, magneto-optical disk (MO), and others.

<Appendix>
(Appendix 1)
Reading means for reading out the name of each procedure and the name of the dependent law of each procedure from a database in which the names of multiple legal procedures and the name of the dependent law on which each procedure depends are stored in association with each other;
A classification means for classifying the plurality of legal procedures to generate a classification system;
Generating means for generating a screen group and / or a voice dialogue scenario corresponding to the classification system of the procedure;
A service support apparatus comprising:

(Appendix 2)
The classification means generates a tree structure classification system based on each procedure name, and the tree structure classification system includes a plurality of hierarchies, nodes located in each hierarchy, names of the nodes, and links connecting the nodes. The service support apparatus according to appendix 1, wherein a procedure name of 1 is associated with a lowermost node.

(Appendix 3)
The service support apparatus according to appendix 1 or 2, wherein the classifying unit classifies the plurality of legal procedures based on a dependency law of each procedure.
(Appendix 4)
The service support apparatus according to appendix 1 or 2, wherein the classification unit classifies the plurality of legal procedures based on a common language included in a procedure name.

(Appendix 5)
The classification means stores a dictionary in which a word and at least one word related to the word are associated with each other, and the classification system is stored in the classification system based on the already generated classification system, the procedure name belonging to the classification system, and the dictionary. 3. The service support apparatus according to appendix 1 or 2, wherein an unclassified procedure name related to a procedure name to which it belongs is inferred, and a procedure name classification system is generated according to an already generated classification system.

(Appendix 6)
The classifying means, when the name of the node directly under the first node and the name of the node immediately under the second node among the nodes constituting the tree structure are similar to each other, The service support apparatus according to appendix 2, wherein a third node to which both the first node and the second node belong is generated in an upper layer of the first and second nodes.

(Appendix 7)
Template storage means for storing a screen template and / or a voice interaction scenario template;
The generating means generates the screen and / or the voice interaction scenario based on the screen template and / or the voice interaction scenario template;
The service support apparatus according to appendix 1.

(Appendix 8)
The generation means further stores an output rule relating to output of the node name, determines an arrangement order or output order of the node names based on the output rule, and generates the screen or the voice conversation scenario according to any determined order The service support apparatus according to appendix 1.
(Appendix 9)
The classification means accepts the specification of a keyword, calculates the relevance between the name of the law and the keyword corresponding to the procedure name including the specified keyword,
The generation means generates a screen and / or a voice interaction scenario corresponding to the keyword according to the degree of association between the relying law name and the keyword.
The service support apparatus according to appendix 1.

(Appendix 10)
A step of reading out the name of each procedure and the name of the dependent law of each procedure from a database in which the names of a plurality of legal procedures and the name of the dependent law on which each procedure depends are stored in association with each other;
A classification step of classifying the plurality of legal procedures to generate a classification system;
Generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedure;
Service support method including.

(Appendix 11)
Reading means for reading out the name of each procedure and the name of the dependent law of each procedure from a database in which the names of a plurality of legal procedures and the name of the dependent law on which each procedure depends are stored in association with each other;
Classifying means for generating a classification system by classifying the plurality of legal procedures, and generating means for generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedures,
A service support program that allows computers to function as

(Appendix 12)
A step of reading out the name of each procedure and the name of the dependent law of each procedure from a database in which the names of a plurality of legal procedures and the name of the dependent law on which each procedure depends are stored in association with each other;
A classification step of classifying the plurality of legal procedures to generate a classification system;
Generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedure;
The computer-readable recording medium which recorded the service assistance program which makes a computer perform.

  The present invention can be applied to an online procedure system.

Functional configuration diagram of the service support apparatus according to the first embodiment of the present invention Some examples of content stored in the procedure DB2 An example of a tree structure classification system generated from the procedure names shown in FIG. (A) Screen generated based on the classification system shown in FIG. 3 and corresponding to the node “License” (b) Voice message generated based on the classification system shown in FIG. 3 and corresponding to the node “License” Explanatory drawing which shows the specific example of an output rule table Example of screen template for creating a guidance tool Example screen generated using the screen template shown in FIG. Explanatory diagram showing an example of a voice scenario template for creating a guidance tool Example of voice message generated using voice scenario template shown in FIG. The flowchart which shows an example of the flow of the main routine which the service assistance apparatus 1 performs Flow chart showing an example of the flow of the classification subroutine Functional block diagram of the service support apparatus 1 of the second embodiment (A) Examples of procedure names necessary to establish a company and the names of its dependent laws (b) Examples of procedure names necessary to organize a company and its dependent laws Example of content stored in dictionary DB Uncategorized procedure names related to company organization searched by the second classification unit in FIG. (A) Example of a procedure name classification system for company establishment generated manually (b) Procedure name classification system for organization of companies generated by applying the classification system of Fig. (A) Example The flowchart which shows an example of the flow of the main routine which the service assistance apparatus 1 of FIG. 12 performs. Functional block diagram of the service support apparatus 1 according to the third embodiment Some examples of procedure names that include the keyword "care" Result of extracting procedure object and procedure action from procedure name (A) Explanatory diagram showing that the procedure names shown in FIGS. 19 and 20 are grouped according to the similarity of procedure actions. (B) Generation of nodes corresponding to groups and subgrouping of procedure names within the groups. Illustration showing (A) Explanatory diagram showing that the procedure names shown in FIG. 19 and FIG. 20 are grouped according to the similarity of the procedural actions. (B) Explanatory diagram showing generation of nodes corresponding to the groups. An example of a classification system for retrieving procedure names from the keyword "care" Example of guidance tool screen generated corresponding to the classification system shown in FIG. An example of the flow of the classification subroutine performed by the service support apparatus 1 shown in FIG. An example of the calculation result of the degree of relevance between the relying method on which the procedure name including the keyword depends and the keyword Example screen generated as a guidance tool based on the calculation result of FIG.

Explanation of symbols

1: Service support device 2: Procedure DB
3: Network

Claims (7)

A service support apparatus connected to a database via a network,
From the database name and each procedure of the plurality of legal proceedings is stored in association with the name of relying methods rely, reading means for reading the reliance Buddhist name of each procedure name and the procedure,
Classifying means for generating a classification system by classifying the plurality of legal procedures based on the dependent law name of each procedure and a common language included in the procedure name ;
Generating means for generating a screen group and / or a voice dialogue scenario corresponding to the classification system of the procedure;
With
The classification means searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and includes a procedure name other than the common word. A service support apparatus that repeats a search for a common word, generation of a node, and generation of a node name when there is a further common word in the part .   The classification means generates a tree structure classification system based on each procedure name, and the tree structure classification system includes a plurality of hierarchies, nodes located in each hierarchy, names of the nodes, and links connecting the nodes. The service support apparatus according to claim 1, wherein one procedure name is associated with a lowermost node. The classification means stores a dictionary in which a word and at least one word related to the word are associated with each other, and the classification system is stored in the classification system based on the already generated classification system, the procedure name belonging to the classification system, and the dictionary. The service support apparatus according to claim 1, wherein an unclassified procedure name related to a procedure name to which it belongs is analogized, and a procedure name classification system is generated according to an already generated classification system. The classification means accepts the specification of a keyword, calculates the relevance between the name of the law and the keyword corresponding to the procedure name including the specified keyword,
  The generation means generates a screen and / or a voice interaction scenario corresponding to the keyword according to the degree of association between the relying law name and the keyword.
  The service support apparatus according to claim 1. A service support method executed by a computer connected to a database via a network,
From the database name and each procedure of the plurality of legal proceedings is stored in association with the name of relying methods rely, a reading step of reading rely Buddhist name of each procedure name and the procedure,
Classifying the procedure name for each dependent law name, generating a first node of a first layer corresponding to the dependent law name, and assigning the dependent law name to be classified to the first node Steps,
A common word included in the procedure name classified as the dependent law name to be classified is searched, and a node corresponding to the common word is generated in a layer located below the most recently generated layer. A common word search step for assigning the common word to a node name;
When there is a further common language in the part other than the common language in the procedure name, a repetition step of repeating the common language search step;
A link generation step for generating a link for connecting the generated nodes based on the common word searched for and the generated layer, and
A classification step of generating a classification system of the plurality of legal procedures and temporarily storing the classification system ;
An image and / or voice interaction scenario template is stored for each layer, and a common language associated with each node located in the layer and the layer above the layer is inserted into the template, and the procedure is performed. Generating a screen group and / or a voice interaction scenario corresponding to the classification system of
Service support method including. A service support program for functioning a computer connected to a database via a network,
From the database name and each procedure of the plurality of legal proceedings is stored in association with the name of relying methods rely, reading means for reading the reliance Buddhist name of each procedure name and the procedure,
Classifying means for generating a classification system by classifying the plurality of legal procedures based on the dependent law name of each procedure and a common language included in the procedure name , and a screen group corresponding to the classification system of the procedure and / or Or generating means for generating a voice dialogue scenario,
Function as a computer
The classification means searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and includes a procedure name other than the common word. A service support program that repeats search for a common word, generation of a node, and generation of a node name when there is a further common word in the part . A computer-readable recording medium recording a service support program to be executed by a computer connected to a database via a network,
From the database name and each procedure of the plurality of legal proceedings is stored in association with the name of relying methods rely, a reading step of reading rely Buddhist name of each procedure name and the procedure,
A classification step for classifying the plurality of legal procedures based on the name of the relying law of each procedure and a common language included in the procedure name to generate a classification system;
Generating a screen group and / or a voice interaction scenario corresponding to the classification system of the procedure;
Record a service support program that causes a computer to execute
The classification step searches for a common word included in each procedure name, generates a node corresponding to the searched common word, assigns the common word to a node name, and includes a procedure name other than the common word. If there are more common words in the part, repeat the common word search, node generation and node name generation,
Computer-readable recording medium.

Images