JP6419525B2 - Visualization means selection support system, visualization means selection support method, and visualization means selection support program - Google Patents

Description

  The present invention relates to a system, a method, and a program for assisting in obtaining a means for visualizing information in a form that is easy for a user to understand when analyzing a combination of a plurality of input data.

  A user who analyzes data collects a lot of information from various viewpoints and analyzes the information in combination to obtain new knowledge and awareness, or provide a new information provision service based on the analysis result information There are movements such as starting up. In particular, in the public sector, information that had been used only in a closed range until now has been published in a machine-readable form so that it can be used by the private sector, etc., to create new information services and revitalize the industry. The idea of “open data” to make use of it is rapidly progressing. If the evaluation viewpoint in performing data analysis is clear as in the past, the information to be analyzed is also limited, and any visualization means (in accordance with the evaluation items predetermined by the user) Patent Document 1 in which whether to express in a table or graph) is determined in advance, or a user with data analysis skills determines the visualization means by trial and error of any visualization means Many approaches were taken using various technologies.

Japanese Patent No. 5087589

  However, in Patent Document 1, it is difficult to predetermine what visualization means is effective when input is made with too wide information such as open data that cannot be evaluated in advance. Moreover, there is a problem that it is difficult for a user who has a low data analysis skill to examine and judge what kind of visualization means are available and which visualization means are effective.

  The present invention relates to a system and method for supporting information visualization by mechanically determining effective visualization means based on the attribute of information to be a data analysis target and a combination pattern between attributes and presenting it to the user. And trying to provide a program.

  In order to solve the above-mentioned problems, in order to solve the above-mentioned problems and achieve the object, the present invention is based on a plurality of target data, and a format in which a user can easily understand information obtained by combining the plurality of target data. A vocabulary-synonym correspondence table in which a synonym of one or a plurality of columns included in the target data is associated with a vocabulary including the synonym, and the vocabulary Vocabulary-attribute correspondence table in which the vocabulary attributes are associated with each other, the relation between the attributes and the column corresponding to the vocabulary having the relation, the candidate of the means for visualizing the target data, and the candidate An attribute relationship-visualization means candidate correspondence table in which effectiveness is associated, and based on the vocabulary-synonym correspondence table, the vocabulary-attribute correspondence table, and the target data. The attribute determination processing means for determining the attribute of the vocabulary corresponding to the column included in the target data, and based on the determined attribute of the vocabulary and the attribute relevance-visualization means candidate correspondence table, Relevance judgment processing means for extracting the relevance that matches the relevance of the image, specifying candidates of the visualization means in order of the effectiveness in the extracted relevance, and presenting to the user. The visualization means selection support system is configured.

  Further, the present invention is grasped as a visualization means selection support method and a visualization means selection support program performed in the visualization means selection support system.

  According to the present invention, the visualization of information can be supported by mechanically determining effective visualization means and presenting it to the user.

It is a figure which illustrates the outline of the visualization means selection assistance system in 1st embodiment. It is a figure which illustrates schematic structure of an electronic computer. It is a figure which illustrates the information which vocabulary storage part 111 holds in a first embodiment. It is a figure which illustrates the information which the vocabulary-attribute correspondence memory | storage part 112 in 1st embodiment hold | maintains. It is a figure which illustrates the information which the attribute relevance-visualization means candidate corresponding | compatible memory | storage part 113 in 1st embodiment hold | maintains. It is a figure which illustrates the some target data used as input in 1st embodiment. It is a figure which illustrates the processing flow of the attribute judgment process part 104 and the relevance judgment process part 105 in 1st embodiment. It is a figure which illustrates the outline of the visualization means selection assistance system in 2nd embodiment. It is a figure which illustrates the processing flow of the input data selection process part 801, the attribute judgment process part 104, and the relevance judgment process part 105 in 2nd embodiment. It is a figure which illustrates the outline of the visualization means selection assistance system in 3rd embodiment. It is a figure which illustrates the processing flow of the attribute judgment process part 104, the relevance judgment process part 105, and the presentation result evaluation process part 1001 in 3rd embodiment.

  Hereinafter, an embodiment of the present invention will be described with reference to FIGS.

(Embodiment 1)
FIG. 1 is a schematic diagram of a visualization means selection support system according to the first embodiment of the present invention. An outline of functions constituting the visualization means selection support system of FIG. 1 will be described.

  The visualization means selection support system 100 includes a control unit 101, a communication unit 102, an input / output unit 103, an attribute determination processing unit 104, an association determination processing unit 105, a vocabulary-attribute correspondence storage unit 111, and a vocabulary storage. Unit 112 and attribute relevance-visualization means candidate correspondence storage unit 113.

  The vocabulary-attribute correspondence storage unit 111 stores information about which vocabulary each column included in the plurality of target data corresponds to.

  The vocabulary storage unit 112 stores information about what attribute the specified vocabulary corresponds to.

  In the attribute relevance-visualization means candidate correspondence storage unit 113, the association information regarding which visualization means are candidates for the relevance of a plurality of attributes, and how effective the visualization means candidates are The effectiveness score indicating the information, the information indicating the evaluation theme to be visualized, and the like are stored.

  The attribute determination processing unit 104 receives a plurality of target data input from the communication unit 102 or the input / output unit 103, and uses the information held in the vocabulary storage unit 111 to determine the names of the columns of the plurality of target data. It has a function related to overall processing such as searching from the synonyms and specifying the corresponding vocabulary and then specifying the attribute corresponding to each vocabulary from the specified vocabulary.

  The relevancy determination processing unit 105 combines any one or more of the attributes, and selects information that matches the attribute combination using information stored in the attribute relevance-visualization means candidate correspondence storage unit. In this case, the visualization means corresponding to the selected one is specified, and using the input / output unit 103, the visualization means has a function related to overall processing such as presenting information of target data corresponding to the combination to the user. .

  The communication unit 102 has a function related to processing for transmitting and receiving information via the network 160 in the visualization means selection support system 100.

  The input / output unit 103 has a function of accepting input from a user and displaying information to the user.

  The control unit 101 has a function of controlling the overall processing of each unit provided in the visualization means selection support system 100.

  The visualization means selection support system 100 illustrated in FIG. 1 includes, for example, a CPU 201, a memory 202, an external storage device 204 such as a hard disk, the Internet, and a network 160 as illustrated in FIG. A communication device 203 for communicating with other devices, an input device 205 such as a keyboard and a mouse, an output device 206 such as a display device and a printer, a reading device 207 that reads information from a portable storage medium 208, This can be realized by a general electronic computer 200 provided with an internal communication line 209 for connecting these devices.

  For example, in the device of the visualization means selection support system 100, the vocabulary-attribute correspondence storage unit 111, the vocabulary storage unit 112, and the attribute relevance-visualization means candidate correspondence storage unit 113 use the memory 202 or the external recording device 204 in the CPU 201. The control unit 101, the attribute determination processing unit 104, and the relevance determination processing unit 105 load a predetermined program recorded in the external recording device 204 into the memory 202 and execute it by the CPU 201. The communication unit 102 can be realized by the CPU 201 using the communication device 203, and the input / output unit 103 can be realized by the CPU 201 using the input device 205 and the output device 206.

  This predetermined program is recorded (downloaded) from the recording medium 208 via the reading device 207 or from the network 160 via the communication device 203 to the external recording device 204, and then loaded onto the memory 202. It may be executed by the CPU 201. Alternatively, the program may be directly loaded onto the memory 202 from the recording medium 208 via the reading device 207 or from the network 160 via the communication device 203 and executed by the CPU 201.

  FIG. 3 is a diagram illustrating an example of a configuration of data recorded in the vocabulary storage unit 111. The vocabulary storage unit 111 holds information about which vocabulary each column of the plurality of target data corresponds to.

  Specifically, it holds a correspondence between a specific vocabulary and its corresponding synonyms, and this makes it possible to determine which vocabulary the column corresponds to from the names of each column of multiple target data. Make it possible. In FIG. 3, for example, the columns “city”, “city” and “prefecture” included in the target data and defined as synonyms are determined to correspond to “city” defined as the vocabulary. Thus, a vocabulary includes one or more synonyms and is a conceptual collection of synonyms.

  FIG. 4 is a diagram illustrating an example of a configuration of data recorded in the vocabulary-attribute correspondence storage unit 112. The vocabulary-attribute correspondence storage unit 112 holds information about what attribute the specified vocabulary corresponds to. Note that here, the attributes to be mapped are the vocabulary properties such as [Location], [Time], [Numeric], and the type of attribute itself indicated by the vocabulary properties such as [People] and [Money]. You can also have more than one. In FIG. 4, for example, the attribute indicating the property of the vocabulary “city” determined by FIG. 3 is “place”, and the attribute indicating the property of the vocabulary “population” is “numerical value”. The attribute indicating the type of “numerical value” is determined to be “person”.

  FIG. 5 is a diagram illustrating an example of a configuration of data recorded in the attribute relevance-visualization means candidate correspondence storage unit 113. The attribute relevance-visualization means candidate correspondence storage unit 113 holds association information regarding which visualization means are candidates for the relevance of a plurality of attributes. Further, in addition to the association information, the effectiveness score indicating how effective the visualization means candidate is associated with the information indicating what evaluation theme is desired to be visualized. . In FIG. 5, for example, the relationship between the attribute “place” and the attributes “numerical value” and “person” is represented by the effectiveness score “100”, and the visualization means displays the map in different colors. . Moreover, when the population comparison for every place is made into an evaluation theme, it has shown on a visualization means by the said display method. In the example shown in FIG. 5, the effectiveness score is an integer value indicating that the smaller the number, the more effective the score. However, the validity score is not particularly limited to this format, and any format that can compare the degree of effectiveness is used. It can have any format.

  Next, an example of a process of presenting candidate visualization means using a plurality of target data as input according to the first embodiment will be described with reference to FIGS.

  FIG. 6 is a diagram illustrating an example of a configuration of a plurality of target data to be input. Here, it is assumed that each column of the target data as an example is a general data group such as open data having a municipality, a period, a population, a birth rate, a budget, and the like. Here, the target data as an example is a general data group such as open data, but is not limited thereto, and may be a specific data group with a limited target.

  FIG. 7 is a diagram illustrating a processing flow of the attribute determination processing unit 104 and the relevance determination processing unit 105 in the present embodiment. Note that data input / output and information display in the processing flow are processed using the communication unit 102 and the input / output unit 103, and processing control between the units is performed by the control unit 101.

  First, the attribute determination processing unit 104 receives a plurality of target data that is input from the communication unit 102 or the input / output unit 103, and uses the information held in the vocabulary storage unit 111 to store each column of the plurality of target data. The name is searched from the synonyms and the corresponding vocabulary is specified (step 701).

  Next, the attribute determination processing unit 104 specifies an attribute corresponding to each vocabulary from the identified vocabulary using information held in the vocabulary-attribute correspondence storage unit 112 (step 702). .

  Next, the relevance determination processing unit 105 combines any one or more of the identified attributes, and uses the information stored in the attribute relevance-visualization means candidate correspondence storage unit to determine the combination of attributes. A match is extracted (step 703).

  Next, the relevance determination processing unit 105 selects the matching items in descending order of effectiveness score (in the present example, the smaller numerical value is the higher effectiveness score) (step 704). . In addition to the attributes indicating properties such as [Location], [Time], [Numeric], etc., the attributes indicating the type of information such as [People], [Money], etc. also match, By showing a higher effectiveness score, a more effective visualization means can be selected.

  Finally, the relevance determination processing unit 105 identifies a visualization unit corresponding to the selected item, and uses the input / output unit 103 to present information of target data corresponding to the combination to the user using the visualization unit 103 (Step 705). The visualization means presented to the user may be any visualization means other than the graph shown in the example as long as the form is easy for the user to understand, such as a table, a map, and a calendar. . Also, captions such as graphs may be automatically generated from the names and relationships of the columns and presented simultaneously.

  As described above, the user can obtain presentation of information by appropriate visualization means only by giving a plurality of target data as input.

(Embodiment 2)
Next, a second embodiment will be described. The feature of this example is that input data selection processing is added to the visualization means selection support system of FIG. 1 described in the first embodiment.

  FIG. 8 is a schematic diagram of a visualization means selection support system according to the second embodiment of the present invention. In addition to the first embodiment, an input data selection processing unit 801 is added, and other functions are the same as those of the first embodiment.

  The input data selection processing unit 801 has a function related to overall processing such as allowing the user to select a column of target data to be emphasized as an analysis target by the obtaining power unit 103.

  Next, an example of processing for presenting candidate visualization means using a plurality of target data as input according to the second embodiment will be described with reference to FIG.

  FIG. 9 is a diagram illustrating a processing flow of the input data selection processing unit 801, the attribute determination processing unit 104, and the relevance determination processing unit 105 in the present embodiment. Note that data input / output and information display in the processing flow are processed using the communication unit 102 and the input / output unit 103, and processing control between the units is performed by the control unit 101.

  First, the input data selection processing unit 801 receives a plurality of target data input from the communication unit 102 or the input / output unit 103, presents a list of each column of the target data to the user by the input / output unit 103, and analyzes from the user. A column of target data to be emphasized as a target is selected (step 901).

  Next, steps 701 to 703 perform the same processing as in the first embodiment.

  Next, the relevance determination processing unit 105 evaluates the effectiveness score higher of the matched items that include the column selected as important as the analysis target in Step 901, and then the effectiveness score is high. The selection effectiveness score is selected in order from the highest (in this example, the smaller the numerical value, the higher the effectiveness score).

  Finally, step 705 performs the same processing as in the first embodiment.

As described above, the user can obtain information presented by an appropriate visualization means in consideration of what is selected to be important as an analysis target.
(Embodiment 3)
Next, a third embodiment will be described. The feature of this example is that a presentation result evaluation process is added to the visualization means selection support system of FIG. 1 described in the first embodiment.

  FIG. 10 is a schematic diagram of a visualization means selection support system according to the third embodiment of the present invention. In addition to the first embodiment, a presentation result evaluation processing unit 1001 is added, and other functions are the same as those of the first embodiment.

  The presentation result evaluation processing unit 1001 has a function related to overall processing such as allowing the user to select important items among the visualization means candidates presented by the obtaining power unit 103.

  Next, an example of a process of presenting candidate visualization means using a plurality of target data as input according to the third embodiment will be described with reference to FIG.

  FIG. 11 is a diagram illustrating a processing flow of the attribute determination processing unit 104, the relevance determination processing unit 105, and the presentation result evaluation processing unit 1001 in the present embodiment. Note that data input / output and information display in the processing flow are processed using the communication unit 102 and the input / output unit 103, and processing control between the units is performed by the control unit 101.

  First, steps 701 to 703, 704 ', and 705 perform the same processing as in the first embodiment. Here, step 704 'performs the same processing as step 704 of the first embodiment in the initial processing.

  Next, the presentation result evaluation processing unit 1001 allows the user to select the visualization means candidates presented to the user by the input / output unit 103. (Step 1101).

  Next, if the user does not select an important item, the process ends. If selected, the process returns to step 704 '. (Step 1102).

  When returning from step 1102 to step 704 ′, the relevancy determination processing unit 105 includes a visualizing means candidate that includes an attribute corresponding to the visualizing means selected by the user as important in step 1101 among the matched items. After evaluating the effectiveness of, select the items in order from the one with the highest effectiveness score to the one with the highest selection effectiveness score (in this example, the one with the smallest numerical value has the highest effectiveness score) ( Step 704 ').

  As described above, the user can repeatedly obtain presentation of information by a more appropriate visualization means in consideration of what is selected as important as the visualization means.

DESCRIPTION OF SYMBOLS 100 ... Visualization means selection support system, 101 ... Control part, 102 ... Communication part, 103 ... Input / output part, 104 ... Attribute judgment processing part, 105 ... Relevance judgment processing part 111 ... Vocabulary-attribute correspondence storage unit, 112 ... Vocabulary storage unit, 113 ... Attribute relationship-visualization means candidate correspondence storage unit, 200 ... Computer, 201 ... CPU (Central Processing) Unit), 202 ... Memory, 203 ... Communication device, 204 ... External recording device, 205 ... Input device, 206 ... Output device, 207 ... Reading device, 208 ... Possible Storage medium having portability, 209... Internal communication line, 210.

Claims (9)

Based on a plurality of target data, a visualization means selection support system for supporting visualization of information combining the plurality of target data in a format that is easy for a user to understand,
A vocabulary-synonym correspondence table in which synonyms in one or more columns included in the target data are associated with vocabularies including the synonyms, and the vocabulary and properties of the vocabulary and types of attributes indicated by the properties Vocabulary-attribute correspondence table in which the vocabulary attributes are associated with each other, the relation between the attributes and the column corresponding to the vocabulary having the relation, the candidate of the means for visualizing the target data, and the validity of the candidate An attribute relationship that correlates degrees with a visualization means candidate correspondence table,
Attribute determination processing means for determining an attribute of a vocabulary corresponding to a column included in the target data based on the vocabulary-synonym correspondence table, the vocabulary-attribute correspondence table, and the target data;
Based on the determined attribute of the vocabulary and the attribute relevance-visualization means candidate correspondence table, a relevance that matches the relevance between the attributes is extracted, and the effectiveness is high among the extracted relevance Relevance determination processing means for identifying candidates for visualization means in order and presenting them to the user;
A visualization means selection support system comprising: The visualization means selection support system according to claim 1,
Input data selection processing means for receiving from the user the selection of columns to be emphasized as an analysis target among the target data,
The relevance determination processing means evaluates the effectiveness of the visualization means candidates that include the attribute corresponding to the vocabulary of the selected column, and selects the visualization means candidates.
Visualization means selection support system characterized by that. The visualization means selection support system according to claim 1,
Among the candidates for the visualization means presented by the relevance determination processing means, the display apparatus further comprises a presentation result evaluation processing means for accepting selection of the visualization means to be emphasized from the user
The relevance determination processing means evaluates the effectiveness of the visualization means candidates including the attribute of the vocabulary having the relevance corresponding to the selected visualization means, and reselects the visualization means candidates;
Visualization means selection support system characterized by that. The visualization means selection support system according to claim 1,
The attribute determination processing unit, by the nature Contact and the type, to determine the attributes of the vocabulary that corresponds to the column of the obtained input data,
Visualization means selection support system characterized by that. Based on a plurality of target data, a visualization means selection support method for supporting visualization of information combining the plurality of target data in a user-friendly format,
The attribute determination processing means is indicated by a vocabulary-synonym correspondence table in which one or more columns of synonyms included in the target data are associated with a vocabulary including the synonyms, the vocabulary, the properties of the vocabulary, and the properties. A determination processing step for determining a vocabulary attribute corresponding to a column included in the target data based on the vocabulary-attribute correspondence table in which the vocabulary attribute including the attribute type is associated with the target data;
The relevance determination processing means includes the determined attribute of the vocabulary, the relevance between the attributes, and the candidate of the target data visualization means including the column corresponding to the vocabulary having the relevance and the effectiveness of the candidate An extraction processing step for extracting a relevance that matches the relevance between the attributes based on the attribute relevance-visualization means candidate correspondence table
A presentation processing step in which the relevance determination processing means identifies candidates of visualization means in descending order of the effectiveness among the extracted relevance, and presents to the user;
A visualization means selection support method characterized by comprising: The visualization means selection support method according to claim 5,
The input data selection processing means further includes a selection processing step for receiving from the user selection of a column that is important as an analysis target among the target data,
In the extraction processing step, the relevance determination processing means evaluates the effectiveness of the visualization means candidates including the attribute corresponding to the vocabulary of the selected column, and selects the visualization means candidates.
A visualization means selection support method characterized by the above. The visualization means selection support method according to claim 5,
The relevance determination processing means further includes an evaluation processing step for accepting selection of a visualization means to be emphasized from a user among the visualization means candidates presented in the presentation processing step,
In the extraction processing step, the relevance determination processing means evaluates the effectiveness of the visualization means candidate including the attribute of the vocabulary having the relevance corresponding to the selected visualization means to evaluate the candidate of the visualization means. Select again,
A visualization means selection support method characterized by the above. The visualization means selection support method according to claim 5,
In the extraction processing steps, the relevance determination processing means, by the nature Contact and the type, to determine the attributes of the vocabulary that corresponds to the column of the obtained input data,
A visualization means selection support method characterized by the above. On the computer,
Based on a plurality of target data, a visualization means selection support program for supporting visualization of information combining the plurality of target data in a format easy for a user to understand,
A vocabulary-synonym correspondence table in which the synonyms of one or more columns included in the target data are associated with the vocabulary including the synonyms, the vocabulary, the properties of the vocabulary, and the types of attributes indicated by the properties A discrimination processing step for discriminating a vocabulary attribute corresponding to a column included in the target data based on a vocabulary-attribute correspondence table in which vocabulary attributes are associated with the target data;
Attribute relationship that associates the candidate of the means for visualizing the target data including the column corresponding to the attribute of the determined vocabulary, the relationship between the attributes, and the vocabulary having the relationship, and the effectiveness of the candidate An extraction processing step for extracting a relevance that matches the relevance between the attributes based on the sex-visualization means candidate correspondence table;
A presentation processing step of identifying candidates for visualization means in descending order of the effectiveness among the extracted relevance, and presenting to a user;
Visualization means selection support program, characterized in that

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