KR101752575B1 - System and method for visualizing big data in learning analytics - Google Patents

Abstract

A big data visualization system according to an embodiment of the present invention includes an analysis manager for managing an analysis module for analyzing raw data and generating analysis data; A storage space for storing the analysis data in an RDF (Resource Description Framework) format; A visualization server for visualizing the analysis data to generate a visualization page; And a visualization UI displaying the visualization page and transferring a user's input to the visualization server. When the visualization UI receives the user's page request input and transfers the input to the visualization server, And generates a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returns the generated selection page to the visualization UI, The UI displays the selected page, selects and inputs at least one of the analyzed data items from the item list of the analyzed data from the user, and delivers the selected analyzed data item to the visualization server, Using the information of the analysis module, ery, automatically requests the analytical data to the storage space through the query, and returns the visualized page to the visualization UI, receives the analytical data from the storage space, and returns the visualized page to the visualization UI, The visualization UI can display the returned visualization page.

Description

System and method for big data visualization in learning analysis

More particularly, the present invention relates to a system and a method for automatically generating a SPARQL-based query statement using metadata to visualize big data in a learning analysis, .

Learning analysis is the measurement, collection, analysis, and reporting of data related to the learner and the learner's situation in order to understand and optimize the learning and learning environment. The amount of data related to such learning is enormous, making it difficult for the analyst to analyze all of the individual data directly, and it is required to visualize the data on a chart or the like.

In particular, visualization is attracting attention as an analytical technique for intuitively recognizing the overall meaning of big data, and various visualization charts are being disclosed, but it is difficult to utilize it unless it is a program developer.

Accordingly, there is a need for a technique that can conveniently acquire various visualization charts that intuitively grasp the overall meaning of the data contained in the database.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a system and a method for visualizing big data to a user.

Specifically, the purpose of the learning analysis is to visualize data in various ways according to the needs of the users.

It also aims to make it easier for users and developers who are not familiar with knowledge-based technologies such as SPARQL to visualize data.

It is also intended to generate a visualization chart with a simple command.

It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are not intended to limit the invention to the precise form disclosed. It can be understood.

The big data visualization system according to an embodiment of the present invention for realizing the above-mentioned problems includes an analysis manager for managing an analysis module for analyzing raw data and generating analysis data; A storage space for storing the analysis data in an RDF (Resource Description Framework) format; A visualization server for visualizing the analysis data to generate a visualization page; And a visualization UI displaying the visualization page and transferring a user's input to the visualization server. When the visualization UI receives the user's page request input and transfers the input to the visualization server, And generates a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returns the generated selection page to the visualization UI, The UI displays the selected page, selects and inputs at least one of the analyzed data items from the item list of the analyzed data from the user, and delivers the selected analyzed data item to the visualization server, Using the information of the analysis module, ery, automatically requests the analytical data to the storage space through the query, and returns the visualized page to the visualization UI, receives the analytical data from the storage space, and returns the visualized page to the visualization UI, The visualization UI can display the returned visualization page.

The information of the analysis module may be metadata of the analysis module.

In addition, the query may be a SPARQL (SPARQL Protocol and RDF Query Language) based query.

The visualization server may further include a pre-stored visualization chart list to generate the selected page, the visualization UI selecting and inputting at least one visualization chart of the visualization chart list from the user, The visualization server can visualize the analysis data using the received visualization chart.

Meanwhile, a data visualization method related to an embodiment of the present invention for realizing the above-mentioned problems includes a visualization UI, a visualization server, an analysis manager for managing an analysis module for analyzing raw data and generating analysis data, Description Framework) method for visualizing data using a storage space for storing the analysis data, the method comprising: a first step of receiving the user's page request input from the user and delivering the visualization UI to the visualization server; A second step of the visualization server requesting and receiving information of an analysis module managed by the analysis manager to the analysis manager; A third step of the visualization server creating a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returning the selected page to the visualization UI; A fourth step of the visualization UI displaying the selected page, selecting and inputting at least one of the analysis data items from the item list of the analysis data from the user, and delivering the selected analysis data item to the visualization server; The visualization server automatically generates a query using the information of the analysis module associated with the item of analysis data transmitted and requests the analysis data to the storage space through the query and returns ; A sixth step of the visualization server generating the visualization page visualizing the returned analysis data and returning the visualization page to the visualization UI; And a seventh step in which the visualization UI displays the returned visualization page.

The information of the analysis module may be metadata of the analysis module.

In addition, the query may be a SPARQL (SPARQL Protocol and RDF Query Language) based query.

In the third step, the visualization server further includes a pre-stored visualization chart list to generate the selection page, and in the fourth step, the visualization UI displays at least one visualization of the visualization chart list And transmits the selected chart to the visualization server. In the sixth step, the visualization server can visualize the analysis data using the received visualization chart.

A recording medium related to an embodiment of the present invention for realizing the above object includes a visualization UI, a visualization server, an analysis manager for managing analysis modules for analyzing raw data and generating analysis data, A program of instructions executable by a digital processing apparatus to perform a method of visualizing data using a storage space storing the analysis data in the form of a framework, The visualization method comprising the steps of: a first step of receiving the user's page request input from the user and delivering the visualization UI to the visualization server; A second step of the visualization server requesting and receiving information of an analysis module managed by the analysis manager to the analysis manager; A third step of generating a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returning the selection page to the visualization UI; A fourth step of the visualization UI displaying the selected page, selecting and inputting at least one of the analysis data items from the item list of the analysis data from the user, and delivering the selected analysis data item to the visualization server; The visualization server automatically generates a query using the information of the analysis module associated with the item of analysis data transmitted and requests the analysis data to the storage space through the query and returns ; A sixth step of the visualization server generating the visualization page visualizing the returned analysis data and returning the visualization page to the visualization UI; And a seventh step of the visualization UI displaying the returned graph page.

Meanwhile, a computer program related to an example of the present invention for realizing the above-mentioned problems includes a visualization UI, a visualization server, an analysis manager for managing an analysis module for analyzing raw data and generating analysis data, A computer program that can be executed on a computer to perform a method of visualizing data using a storage space for storing the analysis data in the form of a framework,

A method for visualizing the data includes: a first step of receiving the user's page request input from the user and delivering the visualization UI to the visualization server; A second step of the visualization server requesting and receiving information of an analysis module managed by the analysis manager to the analysis manager; A third step of generating a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returning the selection page to the visualization UI; A fourth step of the visualization UI displaying the selected page, selecting and inputting at least one of the analysis data items from the item list of the analysis data from the user, and delivering the selected analysis data item to the visualization server; The visualization server automatically generates a query using the information of the analysis module associated with the item of analysis data transmitted and requests the analysis data to the storage space through the query and returns ; A sixth step of the visualization server generating the visualization page visualizing the returned analysis data and returning the visualization page to the visualization UI; And

And a seventh step of the visualization UI displaying the returned graph page.

The present invention can provide a system and method for visualizing big data to a user.

Specifically, data from the learning analysis can be visualized variously according to the user's demand.

In addition, users and developers who are not familiar with knowledge-based technologies such as SPARQL can easily visualize data.

In addition, a visualization chart can be generated with a simple command.

It should be understood, however, that the effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those skilled in the art to which the present invention belongs It will be possible.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate a preferred embodiment of the invention and, together with the description, serve to provide a further understanding of the technical idea of the invention, It should not be construed as limited.
1 is a block diagram of a big data visualization system in accordance with an embodiment of the present invention.
2 is a flowchart illustrating a data visualization method according to an embodiment of the present invention.
Figure 3 is a block diagram of an embodiment of the present invention
4A and 4B illustrate that the visualization UI selects and inputs analysis data items according to an embodiment of the present invention.
5 shows a visualization chart list according to an embodiment of the present invention.
6A and 6B show a visualization page generated by a visualization server according to an embodiment of the present invention.

Hereinafter, a preferred embodiment of the present invention will be described with reference to the drawings. In addition, the embodiment described below does not unduly limit the contents of the present invention described in the claims, and the entire configuration described in this embodiment is not necessarily essential as the solution means of the present invention.

1 is a block diagram of a big data visualization system in accordance with an embodiment of the present invention.

Referring to FIG. 1, a big data visualization system may include a visualization UI 110, a visualization server 120, an analysis manager 130, a storage space 140, and the like.

However, the components shown in FIG. 1 are not essential, and a big data visualization system having components with fewer components or fewer components may be implemented.

First, the visualization UI 110 receives the input from the user and displays the page visualized by the visualization server 120. [

That is, the visualization server 120 receives an input of a page request from a user in order to visualize the data, and causes the visualization server 120 to start operation. In the page returned from the visualization server 120, visualization information (analysis data item, Etc.).

In addition, the visualization UI 110 displays a page returned from the visualization server 120 to be described later. That is, the visualization server 120 can display a selection page including an item list of analysis data visualized using the information of the analysis module (metadata of the analysis module), and the visualization server 120 can use the analysis data So that a visualized page can be displayed.

Next, the visualization server 120 generates a visualization page by visualizing the analysis data.

Specifically, when the visualization server 120 receives the page request input from the visualization UI 110, the analysis server 130 requests and receives information (metadata) of the analysis module from the analysis manager 130 to be described later, A selection page including an item list of analysis data to be visualized is generated and returned to the visualization UI 110. [

Meanwhile, the visualization server 120 may further include a list of previously stored visualization charts to generate a selected page.

That is, the chart list is a list of various kinds of chart shapes in which the analysis data is visualized, and may include a bar chart, a pie chart, and the like. When the visualization server 120 further includes a chart list to generate a selection page, the visualization UI 110 selects and inputs at least one visualization chart of the visualization chart list from the user and transfers the visualization chart to the visualization server 120, The visualization server 120 may visualize the data according to the visualization chart selected when visualizing the analysis data.

In addition, the visualization server 120 automatically generates a query for importing visualization information desired by the user, from the visualization UI 110. That is, a query is generated using the information (metadata) of the analysis module associated with the item of the received analysis data, and the analysis data is returned from the storage space 140 through the query. In this case, the query may be a query based on SPARQL (SPARQL Protocol and RDF Query Language).

Next, the analysis manager 130 manages the analysis module that analyzes the raw data and generates analysis data.

The analysis manager 130 can manage a plurality of analysis modules, and each analysis module has metadata. For example, the metadata of the analysis module includes the type of the resultant data analyzed by the developer, the version and the analysis module of the analysis module, and the kind of the result data. The visualization server 120 generates the selected page using the metadata of the analysis module and generates the query.

Next, the storage space 140 stores the analysis data analyzed by the analysis manager 130 in the RDF (Resource Description Framework) format.

That is, as a triple structure, data is stored in a 'subject-predicate-object format'.

Hereinafter, a data visualization method will be described in detail based on the above-described configurations with reference to FIG.

2 is a flowchart illustrating a data visualization method according to an embodiment of the present invention.

First, the visualization UI 110 receives a user's page request input from the user, and transfers it to the visualization server 120 (S10).

Next, in response to the page request input, the visualization server 120 starts generating the selected page (S20), and the visualization server 120 sends the information of the analysis module managed by the analysis manager 130 to the analysis manager 130 (S30).

That is, it requests a list of metadata of the analysis module in order to generate a selected page.

Next, the analysis manager 130 returns a list of meta data (S40), and the visualization server 120 generates a selection page including the item list of the analysis data to be visualized by using the metadata, (Step S50).

At this time, the visualization server 120 may further include a pre-stored visualization chart list to generate a selection page and return the selection page to the visualization UI 110.

Next, the visualization UI 110 displays a selected page (S60), and selects and inputs at least one analysis data item from the item list of analysis data from the user (S70).

If the selection page includes a visualization chart list, the visualization UI 110 may display a visualization chart list and receive at least one of the visualization charts.

Next, the visualization UI 110 delivers the input information to the visualization server 120 (S80).

Next, the visualization server 120 automatically generates a query using the information of the analysis module associated with the item of analysis data transmitted (S90), and requests analysis data to the storage space 140 through the query (S100) and returned (S110).

At this time, the query can be generated based on SPARQL (SPARQL Protocol and RDF Query Language).

Next, the visualization server 120 generates a visualization page that visualizes the analysis data returned (S120), and returns the visualization page to the visualization UI 110 (S130).

In step S70, when the visualization chart is selected and input, the visualization server 120 can visualize the analysis data with the selected visualization chart.

Next, the visualization UI 110 displays the returned visualization page (S140).

Hereinafter, an embodiment of a data visualization method will be described with reference to the drawings.

First, the storage space 140 of the present embodiment starts data to be stored.

// ① Number of pages read per individual date Graph data

// Analyzed user, used analysis component

// Example containing data from 2015-11-01 to 2015-11-06

<http://ai.uos.ac.kr/PageViews/User001/>

: actor <http://ai.uos.ac.kr/user/User001/>

: using <http://ai.uos.ac.kr/PageViews/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-01/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-02/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-03/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-04/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-05/>

: contains <http://ai.uos.ac.kr/PageViews/user001/2015-11-06/>

// ② Number of pages read per date

// Analysis component used, number of pages read

<http://ai.uos.ac.kr/PageViews/user001/2015-11-01/>

: using <http://ai.uos.ac.kr/PageViewCounter/>

: viewCount "10"

// ③ Monthly read number of pages and total average comparison graph data

<http://ai.uos.ac.kr/PageViewsCompare/User001/>

     : actor <http://ai.uos.ac.kr/user/User001>

     : using <http://ai.uos.ac.kr/PageViewsCompare/>

     : userViewCount <http://ai.uos.ac.kr/PageViews/User001/2015-11/>

     : averageViewCount <http://ai.uos.ac.kr/PageViews/Average/2015-11/>

// ④ Number of pages read per month

<http://ai.uos.ac.kr/PageViews/User001/2015-11/>

: using <http://ai.uos.ac.kr/PageViewCounter/>

: viewCount "100"

// ⑤ Average number of pages read per month data

<http://ai.uos.ac.kr/PageViews/Average/2015-11/>

: using <http://ai.uos.ac.kr/PageViewCounter/>

: viewCount "90"

Next, the metadata of the analysis module managed by the analysis manager 130 of the present embodiment is started.

// ⑥ PageViews Component Metadata

// developer, version, result data type generated

// If this is a Component, the result value is composed of a list of contains.

// Create data such as <http://ai.uos.ac.kr/PageViews/User001/> through this Component

<http://ai.uos.ac.kr/PageViews/>

: developer <http://ai.uos.ac.kr/jinmanKang/>

: version "1.0"

: resultType: list

: resultData: contains

// ⑦ PageViewCounter Component metadata

// Save viewCount as integer type

// duration is the number of pages to be counted. Here,

// Create data such as <http://ai.uos.ac.kr/PageViews/user001/2015-11-01/> through this Component

<http://ai.uos.ac.kr/PageViewCounter/>

: developer <http://ai.uos.ac.kr/jinmanKang/>

: version "1.0"

: resultType: integer

: resultData: viewCount

: duration: day

// ⑧ PageViewsCompare Component's Metadata

// output set data consisting of userViewCount and averageViewCount

// Create data such as <http://ai.uos.ac.kr/PageViewsCompare/User001/>

<http://ai.uos.ac.kr/PageViewsCompare/>

: developer <http://ai.uos.ac.kr/jinmanKang/>

: version "1.0"

: resultType: set

: resultData: userViewCount

: resultData: averageViewCount

// ⑨ PageViewCounter Component Metadata

// Save viewCount as an integer

// <http://ai.uos.ac.kr/PageViews/User001/2015-11/>, <http://ai.uos.ac.kr/PageViews/Average/2015-11/> produce

<http://ai.uos.ac.kr/PageViewCounter/>

: developer <http://ai.uos.ac.kr/jinmanKang/>

: version "1.0"

: resultType: integer

: resultData: viewCount

: duration: month

The visualization UI 110 receives a page request input from the user and delivers the page request to the visualization server 120.

Next, the visualization server 120 requests the analysis manager 130 for the metadata of the analysis module managed by the analysis manager 130. Then, the analysis manager 130 returns the metadata such as ⑥, ⑦, ⑧, and ⑨ to the visualization server 120.

The visualization server 120 generates a selection page including an item list of analysis data to be visualized using the returned metadata, and returns the selected page to the visualization UI 110.

FIG. 3 shows a selection page including an item list of analysis data according to an embodiment of the present invention. The visualization server 120 generates an item 'number of pages read individually' from the metadata 6, Generates the 'number of pages read by date' item from the metadata ⑧, and generates the item 'the number of pages read monthly per month' from the metadata ⑨.

The visualization UI 110 displays the returned selected page and selects and inputs at least one item list of analysis data displayed from the user.

4A and 4B show that the visualization UI selects and inputs analytical data items according to an embodiment of the present invention. FIG. 4A shows the number of pages read by individual and the number of pages read by date on a chart FIG. 4B is a selection input for displaying the 'number of pages read by a person per month' and the number of pages read by an average monthly on a chart.

Meanwhile, the visualization server 120 may further include a list of previously stored visualization charts to generate a selected page. Examples of the visualization chart include a horizontal bar chart, a vertical bar chart, a pie chart, and the visualization UI 110 displays a list of visualization charts as shown in FIG. 5 when a selection page including a visualization chart list is returned, The user can select and input at least one visualization chart.

Thereafter, when the visualization UI 110 delivers the items of the analysis data and the visualization chart selected and inputted by the user to the visualization server 120, the visualization server 120 displays the metadata of the analysis module associated with the item of analysis data To automatically generate a query.

The following is a query (10, 11) automatically generated by the visualization server 120 based on SPARQL.

// ⑩ Query automatically generated to generate the number of pages read per date of User001

select? date? viewCount where {? s: actor <http://ai.uos.ac.kr/user/User001>;

: contains? date.

? date: viewCount? viewCount}

// ⑪ Query generated automatically to generate comparison graph of monthly average of User001

select? userViewCount? averageViewCount where

{? s: actor <http://ai.uos.ac.kr/user/User001>;

: userViewCount? user;

: averageViewCount? average.

? user: viewCount? userViewCount.

? average: viewCount? averageViewCount. }

When the visualization UI 110 receives a selection input as shown in FIG. 4A, the visualization server 120 uses the metadata of the analysis module, which is related to the number of pages read by individual and the number of pages read by date, Automatically generate the same query.

4B, when the visualization server 120 receives the metadata of the analysis module related to the 'number of pages read by the individual users per month' and the number of pages read by the average ' And automatically generates a query such as ⑪.

Thereafter, the visualization server 120 receives data such as 12 and 13 from the storage space 140 based on the generated query.

// ⑫ Data which is received by query of ⑩ when there is analysis data such as ① and ②

date ViewCount

<http://ai.uos.ac.kr/PageViews/user001/2015-11-01/> 10

<http://ai.uos.ac.kr/PageViews/user001/2015-11-02/> 15

<http://ai.uos.ac.kr/PageViews/user001/2015-11-03/> 15

<http://ai.uos.ac.kr/PageViews/user001/2015-11-04/> 20

<http://ai.uos.ac.kr/PageViews/user001/2015-11-05/> 20

<http://ai.uos.ac.kr/PageViews/user001/2015-11-06/> 20

// When there is analysis data such as ③, ④, ⑤ Example of data received by query of ⑪

? userViewCount? averageViewCount

100 90

The visualization server 120 generates a visualization page using the data returned by the generated query.

6A and 6B show a visualization page generated by a visualization server according to an embodiment of the present invention.

FIG. 6A shows a result of receiving the analysis data of step 12 in the query of FIG. 10, and generating a visualization chart. FIG. 6B shows a result of receiving the analysis data of step 13 and generating a visualization chart.

In addition, FIG. 6A shows a case where a vertical bar chart is selected when a user selects a visualization chart type from a user in the selection page, and FIG. 6B shows a bar chart selected.

The visualization server 120 returns a visualization page including the generated visualization chart to the visualization UI 110, and the visualization UI 110 displays the visualization page as shown in Figs. 6A and 6B.

delete

The above-described big data visualization system and method are not limited to the configuration and method of the above-described embodiments, but the embodiments may be modified so that all or some of the embodiments are selectively And may be configured in combination.

The present invention applying the above-described configuration can provide a user with a system and method for visualizing big data.

Specifically, data from the learning analysis can be visualized variously according to the user's demand.

In addition, users and developers who are not familiar with knowledge-based technologies such as SPARQL can easily visualize data.

In addition, a visualization chart can be generated with a simple command.

It should be understood, however, that the effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those skilled in the art to which the present invention belongs It will be possible.

110: Visualization UI
120: Visualization server
130: Analysis Manager
140: Storage space

Claims (10)

An analysis manager for managing an analysis module for analyzing raw data to generate analysis data;
A storage space for storing the analysis data in an RDF (Resource Description Framework) format;
A visualization server for visualizing the analysis data to generate a visualization page; And
And a visualization UI displaying the visualization page and communicating a user's input to the visualization server,
When the visualization UI receives an input of the user's page request and transmits the information to the visualization server, the visualization server requests and receives information of the analysis module managed by the analysis manager to the analysis manager, Generates a selection page including an item list of the analysis data to be visualized, and returns the selection page to the visualization UI,
Wherein the visualization UI displays the selected page, receives at least one of the analysis data items from the item list of the analysis data from the user, and transfers the selected analysis data item to the visualization server,
Wherein the visualization server automatically generates a query using information of the analysis module associated with the item of the analyzed data, requests the analysis data to the storage space through the query,
Generates the visualization page that visualizes the returned analysis data and returns the visualization page to the visualization UI, the visualization UI displays the visualization page returned,
Wherein the information of the analysis module is meta data of the analysis module,
The query is a SPARQL (SPARQL Protocol and RDF Query Language) -based query,
Wherein the visualization server further includes a pre-stored visualization chart list to generate the selected page,
Wherein the visualization UI selects and inputs at least one visualization chart of the visualization chart list from the user and transfers the visualization chart to the visualization server,
Wherein the visualization server visualizes the analysis data using the received visualization chart. delete delete delete A visualization UI, a visualization server, an analysis manager for managing analysis modules for generating analysis data by analyzing raw data, and a storage space for storing the analysis data in the RDF (Resource Description Framework) format. In the method,
A first step of receiving the user's page request input from the user and delivering the visualization UI to the visualization server;
A second step of the visualization server requesting and receiving information of an analysis module managed by the analysis manager to the analysis manager;
A third step of the visualization server creating a selection page including an item list of the analysis data to be visualized by using the information of the analysis module and returning the selected page to the visualization UI;
A fourth step of the visualization UI displaying the selected page, selecting and inputting at least one of the analysis data items from the item list of the analysis data from the user, and delivering the selected analysis data item to the visualization server;
The visualization server automatically generates a query using information of the analysis module associated with the received analysis data item, and requests the analysis data to the storage space through the query and receives the analysis data;
A sixth step of generating a visualization page in which the visualization server visualizes the returned analysis data and returning the visualization page to the visualization UI; And
And a seventh step of the visualization UI displaying the returned visualization page,
Wherein the information of the analysis module is metadata of the analysis module,
The query is a SPARQL (SPARQL Protocol and RDF Query Language) -based query,
In the third step,
Wherein the visualization server further includes a pre-stored visualization chart list to generate the selected page,
In the fourth step,
Wherein the visualization UI selects and inputs at least one visualization chart of the visualization chart list from the user and transfers the visualization chart to the visualization server,
In the sixth step,
Wherein the visualization server visualizes the analysis data using the received visualization chart. delete delete delete delete delete

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