KR102205267B1 - 3D Visualization System and method for time series data - Google Patents

Abstract

The present invention relates to a system and method for visualizing and providing time series data in three dimensions, a source data storage unit for storing a plurality of source data including time series information and index information, and for each of the plurality of source data, a time series Assuming a three-dimensional sphere having a radius corresponding to the information, converting the index information into information indicating a specific position of the surface of the assumed three-dimensional sphere, and corresponding to the three-dimensional coordinates of each of the plurality of source data Coordinate information generation unit, a search unit that receives a search command from a user and searches for source data corresponding to the search command among the plurality of source data based on the search command, and a three-dimensional coordinate corresponding to the searched source data A 3D time series data visualization system including an output unit for outputting a position on a screen and a method of operating the system are provided.

Description

3D Visualization System and method for time series data}

The present invention relates to a system and method for visualizing time series data in three dimensions, and to a system and method for intuitively visualizing time series data in a three-dimensional space when a user searches for necessary data among source data including time information. About.

With the development of the information and communication industry, data generated in various places are being collected online, and various analyzes are performed using the collected big data. In particular, there is a growing interest in visualization technology that enables large-scale data to be more intuitively identified and the meaning of data analyzed.

In order to solve such a problem, the conventional Korean Patent No. 10-1782816 "Treemap visualization method and device using the method" expresses data having a large-capacity hierarchical structure so that it can be checked as intuitively as possible in a 3D space. This is to make it easy to check the hierarchical structure of data.

However, such a method may be suitable for confirming the distribution of data, but has a problem in that it is difficult to apply to a time series analysis that analyzes changes in data over time.

1 is a diagram illustrating an example of a method for visualizing time series data according to the prior art.

As shown in the figure, conventionally, in order to represent time series data, a method of expressing time information and numerical information in the x-axis and y-axis, respectively, through a two-dimensional graph is widely used. In this case, the data to be analyzed When is diversified, intuitive visualization is difficult, it is difficult to express information other than time information and numerical information, and various visualizations become impossible.

Therefore, there is a need for a visualization method that intuitively visualizes large-scale time series data to enable data analysis.

Korean Patent Registration No. 10-1782816

It is an object of the present invention to intuitively check the distribution of time series data over time.

An object of the present invention is to visualize time series data in 3D so that it can be intuitively confirmed.

An object of the present invention is to intuitively check the connection relationship between time series data having a connection relationship between data.

It is an object of the present invention to intuitively check time series data including region information.

An object of the present invention is to intuitively check time series data classified into categories.

In order to achieve this object, a 3D time series data visualization system according to an embodiment of the present invention includes a source data storage unit that stores a plurality of source data including time series information and index information, and for each of the plurality of source data, Assuming a three-dimensional sphere having a radius corresponding to time series information, converting the index information into information indicating a specific position of the surface of the assumed three-dimensional sphere, corresponding to the three-dimensional coordinates of each of the plurality of source data 3 Dimensional coordinate information generation unit, a search unit that receives a search command from a user and searches for source data corresponding to the search command among the plurality of source data based on the search command, and a three-dimensional coordinate corresponding to the searched source data It may be configured to include an output unit for outputting the location of the screen.

In this case, the source data storage unit may further include connection relationship information between the plurality of source data, and the output unit may output a connection relationship between the searched source data on a screen by referring to the source data storage unit. .

In addition, information indicating a specific location of the surface of the assumed 3D sphere may be composed of latitude and longitude information.

In addition, the index information includes area information related to each of the plurality of source data, and the shopping mall 3D coordinate information generation unit determines a specific location of the surface of the assumed 3D sphere with latitude and longitude information corresponding to the area information. You can create the information you represent.

In addition, the index information includes category information of each of the plurality of source data, and the 3D coordinate information generator obtains a weight value for each category information, and the assumed 3D has an area proportional to the weight value. The surface of the sphere is segmented, and information indicating a specific position of the surface of the assumed three-dimensional sphere so that each of the plurality of source data is included in the divided region of the corresponding category based on the category information of each of the plurality of source data is provided. Can be generated.

In this case, the 3D coordinate information generator may divide the surface of the assumed 3D sphere according to the category information by using a Voronoi diagram.

In addition, the 3D coordinate information generator may calculate a weight for each category information based on the number of cases for each category of all the plurality of source data.

In addition, the output unit may receive the user's manipulation command and rotate or enlarge/reduce the output screen based on the previously received user's manipulation command.

According to the present invention, it is possible to obtain an effect of intuitively checking the distribution of time series data over time.

According to the present invention, it is possible to obtain an effect of intuitively checking time series data by visualizing it in three dimensions.

According to the present invention, it is possible to obtain an effect of intuitively checking a connection relationship between time series data having a connection relationship between data.

According to the present invention, it is possible to obtain an effect of intuitively checking time series data including area information.

According to the present invention, it is possible to obtain an effect of intuitively checking time series data classified into categories.

1 is a diagram illustrating an example of a method for visualizing time series data according to the prior art.
2 is a block diagram showing the configuration of a 3D time series data visualization system according to an embodiment of the present invention.
3 is a diagram illustrating an example of a screen for visualizing time series data using a 3D time series data visualization system according to an embodiment of the present invention.
4 is a diagram illustrating an example of a screen for visualizing time series data having a connection relationship between data using a 3D time series data visualization system according to an embodiment of the present invention.
5 is a diagram illustrating an example of using index information as area information in a 3D time series data visualization system according to an embodiment of the present invention.
6 is a diagram illustrating an example in which index information is used as category information in a 3D time series data visualization system according to an embodiment of the present invention.
7 is a flowchart illustrating a method for visualizing 3D time series data according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In describing the present invention, when it is determined that a detailed description of a related known configuration or function may obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, in describing the embodiments of the present invention, specific numerical values are only examples, and the scope of the invention is not limited thereby.

The three-dimensional time series data visualization system according to the present invention may be configured in the form of a server that has a central processing unit (CPU) and a memory (memory) and can be connected to other terminals through a communication network such as the Internet. However, the present invention is not limited by the configuration of the central processing unit and the memory. In addition, the time series data visualization system according to the present invention may be physically configured as a single device, such as a server, or may be implemented in a form distributed over a plurality of devices, so that the present invention is provided by the configuration of such a physical device. Not limited.

2 is a block diagram showing the configuration of a 3D time series data visualization system according to an embodiment of the present invention.

As shown in the drawing, the 3D time series data visualization system 201 according to an embodiment of the present invention includes a source data storage unit 210, a 3D coordinate information generation unit 220, a search unit 230, and an output unit. It can be composed of (240). Each of the components may be a software module that physically operates within the same computer system, and may be in a form configured so that two or more physically separated computer systems can operate in conjunction with each other. Embodiments belong to the scope of the present invention.

The source data storage unit 210 stores a plurality of source data including time series information and index information. The source data may be large-scale data, that is, big data collected through various collection methods, but is not limited by the type of data, but due to the nature of the present invention, time series information for each data must be included. The time series information can be various times, such as the creation date and collection date of data.For example, in the case of sensor data collected through a sensor, the time series information can be the time at which the data is collected. , And hourly precipitation, etc. can be analyzed.

Also, the source data stored in the source data storage unit 210 may be data such as a paper or a patent. In this case, the publication date of the paper, the filing date of the patent, etc. may be stored as time series information. Through this, it is possible to analyze the number of publications of thesis by year and the number of patent applications by year.

In addition, the source data stored in the source data storage unit 210 may include various contents such as history, news, and human names, and may have various forms according to the properties of each content, as long as it includes time series information. In any form, the present invention is not limited by the form of the data or the like.

Index information included in the source data stored by the source data storage unit 210 may be various pieces of information that can distinguish data. For example, when the source data is a temperature distribution by country by date, the index information may be information representing a country, and through this, it is possible to analyze temperature by country by date.

In addition, if the source data stored in the source data storage unit 210 is the annual sales status by industry field, the index information may be information representing the industry field, and through this, the annual sales status by industry field is intuitively visualized. It is possible to do.

Index information included in the source data stored in the source data storage unit 210 may be one piece of information, two or more data, or a combination thereof, may be simple data, or having a hierarchical structure. It could be data. For example, if the source data is patent data, information such as the applicant of the patent, the nationality of the applicant, the patent office of the filing, technology classification code, registration/disclosure, etc. can be each index information. In this case, it is possible for the user to select and analyze the index information to be analyzed.

In addition, when the source data stored in the source data storage unit 210 is the sales status by industry sector as described above, industry sector information may be simply configured, and layered so that sub-industries of each industry can be specifically represented. It may be in the form In this case, the analyst may select which layer to analyze as an analysis target, and it is also possible to express the layer information as it is during the visualization process.

In order to store such source data, the source data storage unit 210 may be converted into a database using an RDB, or may be stored as indexed data in various forms to enable search. In the present invention, the invention is not limited by the data storage type and storage medium.

Meanwhile, the source data storage unit 210 may further include connection relationship information between a plurality of source data. The connection information between data can be in various forms. If thesis or patent data is the source data, the citation relationship between each thesis and patent can be the connection relationship information, and the source data is each user on the SNS. In the case of the information of, human relationship information, such as a follow relationship between users, may be connection relationship information.

When such a connection relationship is stored in the source data storage unit 210, the connection relationship between individual data can be intuitively expressed in the process of visualization, so that analysis can be facilitated.

The 3D coordinate information generation unit 220 assumes a 3D sphere having a radius corresponding to time series information for each of the plurality of source data, and the index information indicates a specific position of the surface of the assumed 3D sphere. It is converted into information and corresponds to the three-dimensional coordinates of each of the plurality of source data.

For example, when the 3D coordinate information generator 220 wants to analyze data for each year from 2010 to 2019, the radius representing 2010 is 1, the radius representing 2011 is 2, and the year 2013 is You can set the radius to be 3 and the radius representing 2019 to be 10. As described above, a three-dimensional sphere having the same center for each year is assumed to be virtual, and data for each year can be visualized in the form of placing data for each year on the surface of the sphere. The unit of the radius can be in units of year for yearly data, monthly for monthly data, hourly for hourly data, and seconds for second-level data. Time series data can be visualized intuitively.

After the three-dimensional coordinate information generation unit 220 assumes a plurality of three-dimensional spheres according to the time series information as described above, the source data corresponding to each time series information is placed on the surface of the three-dimensional sphere. Whether to do so is determined based on the index information.

In order for the 3D coordinate information generation unit 220 to express the position of the surface of the sphere corresponding to the index information, it is most preferable to express the position of a specific region on the earth as latitude and longitude information. Since it is the source data including time series information, a large number of virtual spheres are created according to the time series information, and the source data must be located on this surface by using index information with the same standard, using latitude and longitude information. In the case of expressing, it is possible to express the same information in the same location of several spheres that share the center, thereby enabling intuitive data analysis.

The most basic method of mapping data based on index information on the surface of a virtual sphere in the 3D coordinate information generation unit 220 is when the index information includes geographic information. In this case, all of the assumed plurality of spheres are assumed to be the surface of the earth, and the data may be arranged based on geographic information indicated by the index information. For example, if you want to visualize the current state of GDP for each country by year, it is simple to map the surface of the sphere to a world map, and map the latitude and longitude information of the points representing each country to the country information contained in the index information. You can determine the location of the data on the sphere surface.

Geographic information included in the index information used by the 3D coordinate information generating unit 220 may be country information, as described above, city/province information within a specific country, or information such as detailed building addresses within a specific city. have. As described above, it is possible to think of the entire virtual sphere as the surface of the earth and match geographic information, but if the area to be analyzed is narrow, the entire area is used as the sphere surface, and the position on the sphere surface is determined according to the relative position. It is also possible to decide. In addition, various embodiments may be modified.

In addition, when the index information includes category information including each of a plurality of source data, the 3D coordinate information generation unit 220 obtains a weight value for each category and assumes that the area has an area proportional to the weight value. It is possible to divide the surface of a 3D sphere and generate information indicating a specific position of the surface of the 3D sphere, assuming that each of the plurality of source data is included within the divided category area based on the category information of each of the plurality of source data. have.

For example, if the index information of the source data to be processed by the 3D coordinate information generation unit 220 is information related to the technology field, some of the source data is artificial intelligence technology, some display technology, and some semiconductor technology. Can belong. In this case, the categories of all source data should each have one area divided by the surface of the sphere, and when the index information of the source data indicates a specific category, the source data should be placed inside the area of the category. Generates information representing a specific location on the surface of the dimensional sphere.

At this time, as illustrated above, the category information may be simple category information, may be category information having a complex hierarchical structure, or may be configured such that one source data is duplicated in a plurality of categories.

When the category information has a hierarchical structure, it is possible to express the hierarchical structure as a plane on the surface of the sphere by using a method such as a tree map, and through such implementation, it is possible to intuitively grasp the hierarchical time series data. You will be able to. In addition, when one source data is configured to be duplicated in a plurality of categories, it is possible to intuitively check such redundant classification information by distributing the areas so that the areas of each category overlap each other.

When the 3D coordinate information generator 220 divides the surface of the sphere by category information, it is necessary to determine the area of the divided areas. To this end, the number of source data included in each category is checked, and this source data A weight for each category information may be calculated based on the number of cases, and the weight may determine an area of the corresponding category information. Accordingly, a place with a large amount of data may have a wide area and a place with little data may have a narrow area. By implementing in this way, regardless of the time series information, it is possible to intuitively check in which category each source data is widely distributed through the area, and to intuitively check the flow chart of time series data. In addition to this method, various methods can be applied to determine the area.

Various methods can be applied to divide an area for each category information in the 3D coordinate information generator 220. When a relative area is determined, a Voronoi Diagram can be used as a method for effectively dividing it. have. In this case, since the same category must exist in the same location and have the same shape and area among virtual spheres in a three-dimensional space composed of a plurality of time series information, regardless of the time series information, the virtual sphere is based on the entire source data. It is desirable to create a sphere of, draw a Voronoi diagram, and map the Voronoi diagram by projecting it onto a plurality of virtual spheres respectively corresponding to time series information.

The search unit 230 receives a search command from a user, and searches for source data corresponding to the search command among the plurality of source data based on the search command. The user may be an analyst who analyzes source data, and receives a search command in order to extract and analyze only source data necessary for analysis from the entire source data. The search command may be keyword information corresponding to specific source data or bibliographic information according to characteristics of the source data, and a search may be performed using a search operator generally used in a search engine.

In order to provide a smooth search in the search unit 230, as described above, the source data may be data indexed in advance through an indexer, and if the amount of data is not large, simply using an RDB, etc. It is also possible to provide a search function. In the present invention, rights are not limited by a specific search method.

The output unit 240 outputs the position of the 3D coordinate corresponding to the searched source data on the screen. Since the 3D coordinate information generator 220 generates 3D coordinate information for each source data, each of the searched source data has 3D coordinate information. Using this information, the output unit arranges the searched source data on a 3D virtual space, generates a 3D model, and renders the generated 3D model to output it on a general 2D display. . In addition, in some cases, it is possible to output actual 3D information using a 3D display or a hologram display.

When the output unit 240 outputs each source data on the screen, the source data may be expressed as a single point or a specific figure (planar or three-dimensional). In this case, it is possible to change the size, color, etc. of a point or figure displayed based on attribute information of the source data. For example, in the case of country-specific yearly GDP information, by determining the size of the figure corresponding to each source data according to the amount of GDP, you can intuitively check how the country-specific GDP changes according to the time series flow. have.

In addition, when the output unit 240 outputs the source data to the screen, there may be a case where a plurality of source data having the same time series information and index information corresponding to the same position may exist. In this case, the corresponding source data The size or color of displayed points or figures can be expressed differently depending on the number of. For example, if you want to visualize the data of thesis published by nationality by year, if there were 100 articles by Korean authors in 2015 and 200 articles by Korean authors in 2016, the hypothetical In the sphere of Figures, a figure with a size corresponding to 100 is placed at the location of Korea, and in 2016, a figure with a size corresponding to 200, which is twice the size of the figure, can be arranged to intuitively check the time series change.

As described above, when there is connection relationship information between source data, the output unit 240 may output a connection relationship between source data on the screen. For example, when the source data is thesis data, or if the citation relationship between thesis data is included in the source data, use this to connect the dots or figures representing each thesis data with lines, arrows, etc. By expressing it, information on the connection relationship between data can be intuitively checked. In other words, it is possible to intuitively provide information on which country the manuscripts written by authors of which country's nationality are frequently cited by year.

The output unit 240 may additionally provide a user interface. When a user performs manipulation, such as clicking a specific source data or a figure representing a source data group, or hovering a mouse through the user interface, the corresponding source data It is possible to provide detailed information about the information to the user in the form of a pop-up or the like. Through this, the user can easily check detailed information of individual data while checking the overall time series trend, thereby enabling intuitive and convenient big data analysis.

Also, the output unit 240 may receive a user's manipulation command and rotate or enlarge/reduce a screen that is output based on the received manipulation command. As described above, since the output screen is a screen generated by rendering data modeling a virtual 3D space, various information can be provided according to the viewing angle of the 3D model. Therefore, the user can freely check the 3D model through manipulation.

For example, if the output information is country-specific information, it may be difficult to check the information of all countries on the earth at once, but it is possible to immediately check necessary information while rotating the screen, like rotating a globe.

At this time, the output unit 240 outputs only the source data information in the hemisphere corresponding to the user's gaze of the virtual 3D sphere, so that the source data information on the side viewed by the source data information on the opposite side is interfered with. It is also possible to prevent.

The user command received from the output unit 240 may be a click or drag of a mouse, and when using a touch screen, an enlargement or reduction through a touch operation may be input as a command. It is not limited.

3 is a diagram illustrating an example of a screen for visualizing time series data using a 3D time series data visualization system according to an embodiment of the present invention.

As shown in the drawing, when the 3D time series data visualization system according to an embodiment of the present invention is used, although it is not visible on the screen from the center of the sphere to the surface direction, many virtual spheres exist according to the time series information. The source data is output in the form of dots on the surface of each sphere, so that it is possible to check at a glance that the source data belong to the same region or the same category. In addition, the closer to the center of the sphere, the past data, and the closer to the surface, the more present data is output, so that it is easy to see at a glance how the distribution of data changes over time.

As described above, such a virtual sphere can be rotated and enlarged/reduced according to the user's manipulation, and through this, the user can find and analyze desired information easily. In addition, if the user uses a search command, only the data necessary for analysis can be output from the entire source data, and by changing the search command at any time during the analysis process, the analysis of necessary data becomes easier. I can.

4 is a diagram illustrating an example of a screen for visualizing time series data having a connection relationship between data using a 3D time series data visualization system according to an embodiment of the present invention.

As shown in the figure, when there is a connection relationship between source data, points or figures representing the source data are connected with lines, arrows, etc. and displayed on the screen, so that the connection relationship between information can be checked at a glance. . In this case, change in the source data over time, the distribution of source data by region or category, and over time, at a glance whether the information of which region or category influenced the information of another region or category. Can be grasped, enabling more in-depth big data analysis.

5 is a diagram illustrating an example of using index information as area information in a 3D time series data visualization system according to an embodiment of the present invention.

As shown in the figure, when each source data includes region information as index information, a globe-shaped sphere is output on the screen, and as in the case of FIGS. 3 and 4 above, according to a time series flow, By placing source data on the surface of virtual spheres that are invisible from the center of the sphere to the surface, it is possible to check the flow of local data.

In the example of the drawing, changes in specific data are analyzed for Korea, the United States, and Australia, and it is possible to intuitively analyze regional information. In particular, as shown in the drawing, when each source data has an attribute value, by expressing the source data in a size corresponding to the attribute value, it is possible to more accurately identify changes in data over time.

As described above, the attribute of the source data can be expressed in various ways, such as color, shape, and the like, as well as size, but the present invention is not limited by the expression method.

6 is a diagram illustrating an example in which index information is used as category information in a 3D time series data visualization system according to an embodiment of the present invention.

As shown in the figure, when the source data includes category information as index information, the surface of the sphere visible on the screen is divided into categories corresponding to the entire source data, and the categories corresponding to the corresponding area within each divided area It is possible to output the source data of.

The figure shows a time-series analysis of the number of papers by technical field, of which artificial intelligence, display, and semiconductor fields are searched and analyzed. As shown in the figure, each area can be classified by calculating its area based on the total number of papers in each category regardless of time series information, and a Voronoi diagram can be used as a method for dividing the surface of a sphere whose relative area is determined. .

When the screen is divided in this way, as in the case of using geographic information previously, source data belonging to the corresponding category is output on the surface of a number of invisible spheres according to the time series information, so that the time series change for the corresponding category can be checked. As described above, the size, color, shape, etc. of the displayed source data information may be changed using the attribute information of the source data to provide more various analysis information.

7 is a flowchart illustrating a method for visualizing 3D time series data according to an embodiment of the present invention.

The three-dimensional time series data visualization method according to the present invention has the technical characteristics of the three-dimensional time series data visualization system 201 as described above. In addition to the contents described below, the three-dimensional time series data visualization system 201 is described above. All items are applicable.

In step S701, a plurality of source data including time series information and index information is stored in the source data storage unit 210. The source data may be large-scale data, that is, big data collected through various collection methods, but is not limited by the type of data, but due to the nature of the present invention, time series information for each data must be included. The time series information can be various times, such as the creation date and collection date of data.For example, in the case of sensor data collected through a sensor, the time series information can be the time at which the data is collected. , And hourly precipitation, etc. can be analyzed.

Also, the source data stored in the source data storage unit 210 in step S701 may be data such as a paper or a patent. In this case, the publication date of the paper, the filing date of the patent, etc. may be stored as time series information. Through this, it is possible to analyze the number of publications of thesis by year and the number of patent applications by year. As such, the source data stored in the source data storage unit 210 may have various forms, and the present invention is not limited to any form as long as it includes time series information.

Meanwhile, in step S701, connection relationship information between a plurality of source data may be further included. The connection information between data can be in various forms. If thesis or patent data is the source data, the citation relationship between each thesis and patent can be the connection relationship information, and the source data is each user on the SNS. In the case of the information of, human relationship information, such as a follow relationship between users, may be connection relationship information.

In step S702, for each of the plurality of source data, the 3D coordinate information generating unit 220 assumes a 3D sphere having a radius corresponding to the time series information, and the index information is used to specify the surface of the assumed 3D sphere. It is converted into information indicating a location, and corresponds to the three-dimensional coordinates of each of the plurality of source data.

After assuming a plurality of 3D spheres according to the time series information in step S702, source data corresponding to each time series information is placed on the surface of the 3D sphere, based on the index information on which position to be placed on the surface. Will be decided.

In step S702, in order to express the position of the surface of the sphere corresponding to the index information, it is most preferable to express the position of a specific region on the earth with latitude and longitude information. Since it is the source data including time series information, a large number of virtual spheres are created according to the time series information, and the source data must be located on this surface by using index information with the same standard, using latitude and longitude information. In the case of expressing, it is possible to express the same information in the same location of several spheres that share the center, thereby enabling intuitive data analysis.

In step S703, the search unit 230 receives a search command from the user, and searches source data corresponding to the search command among the plurality of source data based on the search command. The user may be an analyst who analyzes source data, and receives a search command in order to extract and analyze only source data necessary for analysis from the entire source data. The search command may be keyword information corresponding to specific source data or bibliographic information according to characteristics of the source data, and a search may be performed using a search operator generally used in a search engine.

In order to provide a smooth search in step S703, as described above, the source data may be data indexed in advance through an indexer, and if the amount of data is not large, the search function is simply performed using an RDB or the like. It is also possible to provide. In the present invention, rights are not limited by a specific search method.

In step S704, the position of the 3D coordinate corresponding to the searched source data is output on the screen through the output unit 240. Since the 3D coordinate information generator 220 generates 3D coordinate information for each source data, each of the searched source data has 3D coordinate information. Using this information, the output unit arranges the searched source data on a 3D virtual space, generates a 3D model, and renders the generated 3D model to output it on a general 2D display. . In addition, in some cases, it is possible to output actual 3D information using a 3D display or a hologram display.

When each source data is output on the screen in step S704, the source data may be expressed as a single point, or a specific figure (planar or three-dimensional) may be used. In this case, it is possible to change the size, color, etc. of a point or figure displayed based on attribute information of the source data. For example, in the case of country-specific yearly GDP information, by determining the size of the figure corresponding to each source data according to the amount of GDP, you can intuitively check how the country-specific GDP changes according to the time series flow. have.

In step S704, when there is connection relationship information between the source data as described above, the connection relationship between the source data may be output on the screen. For example, when the source data is thesis data, or if the citation relationship between thesis data is included in the source data, use this to connect the dots or figures representing each thesis data with lines, arrows, etc. By expressing it, information on the connection relationship between data can be intuitively checked. In other words, it is possible to intuitively provide information on which country the manuscripts written by authors of which country's nationality are frequently cited by year.

Further, in step S704, a user's manipulation command may be received, and a screen outputted based on the received user's manipulation command may be rotated or enlarged/reduced. As described above, since the output screen is a screen generated by rendering data modeling a virtual 3D space, various information can be provided according to the viewing angle of the 3D model. Therefore, the user can freely check the 3D model through manipulation.

Such a method of visualizing 3D time series data may be implemented as an application or implemented in the form of program instructions that may be executed through various computer components, and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.

The program instructions recorded in the computer-readable recording medium may be specially designed and constructed for the present invention, or may be known and usable to those skilled in the computer software field.

Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CDROMs and DVDs, and magnetic-optical media such as floptical disks. , And a hardware device specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like.

Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

Although the above has been described with reference to embodiments, those skilled in the art can variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims.

201: 3D time series data visualization system
210: source data storage unit
220: 3D coordinate information generation unit
230: search unit
240: output

Claims (17)

A source data storage unit that stores a plurality of source data including time series information and index information;
For each of the plurality of source data, a 3D sphere having a radius corresponding to time series information is assumed, the index information is converted into information indicating a specific position of the surface of the assumed 3D sphere, and the plurality of source data A three-dimensional coordinate information generating unit that corresponds to each of the three-dimensional coordinates;
A search unit configured to receive a search command from a user and search for source data corresponding to the search command among the plurality of source data based on the search command;
An output unit that outputs the position of the 3D coordinate corresponding to the searched source data on the screen
3D time series data visualization system comprising a. The method of claim 1,
The source data storage unit
Further comprising connection relationship information between the plurality of source data,
The output unit
Displaying a connection relationship between the searched source data on a screen with reference to the source data storage unit
3D time series data visualization system, characterized in that. The method of claim 1,
The information indicating a specific position of the surface of the assumed 3D sphere is
Consisting of latitude and longitude information
3D time series data visualization system, characterized in that. The method of claim 1,
The index information is
Including region information associated with each of the plurality of source data,
The shopping center 3D coordinate information generator
Generating information indicating a specific location of the surface of the assumed three-dimensional sphere with latitude and longitude information corresponding to the area information
3D time series data visualization system, characterized in that. The method of claim 1,
The index information is
Including category information of each of the plurality of source data,
The 3D coordinate information generation unit
Obtaining a weight value for each category information,
Dividing the surface of the assumed three-dimensional sphere to have an area proportional to the weight value,
Generating information indicating a specific position of the surface of the assumed 3D sphere so that each of the plurality of source data is included in the divided region of the corresponding category based on category information of each of the plurality of source data
3D time series data visualization system, characterized in that. The method of claim 5,
The 3D coordinate information generation unit
Dividing the surface of the hypothesized three-dimensional sphere by category information using Voronoi diagram
3D time series data visualization system, characterized in that. The method of claim 5,
The 3D coordinate information generation unit
Calculating a weight for each category information based on the number of cases for each category of the plurality of source data
3D time series data visualization system, characterized in that. The method of claim 1,
The output unit
Receive the user's operation command,
Rotating or expanding/reducing the output screen based on the received user's operation command
3D time series data visualization system, characterized in that. A source data storage step of storing a plurality of source data including time series information and index information in a source data storage unit;
In the 3D coordinate information generator, for each of the plurality of source data, a 3D sphere having a radius corresponding to time series information is assumed, and the index information is converted into information indicating a specific position of the surface of the assumed 3D sphere. Thus, generating 3D coordinate information corresponding to each of the plurality of source data to 3D coordinates;
A search step of receiving a search command from a user in a search unit and searching for source data corresponding to the search command among the plurality of source data based on the search command;
Output step of outputting the position of the 3D coordinate corresponding to the searched source data on the screen by the output unit
3D time series data visualization method comprising a. The method of claim 9,
The step of storing the source data
Further comprising connection relationship information between the plurality of source data,
The output step is
Displaying a connection relationship between the searched source data on a screen with reference to the source data storage unit
3D time series data visualization method, characterized in that. The method of claim 9,
The information indicating a specific position of the surface of the assumed 3D sphere is
Consisting of latitude and longitude information
3D time series data visualization method, characterized in that. The method of claim 9,
The index information is
Including region information associated with each of the plurality of source data,
The step of generating 3D coordinate information
Generating information indicating a specific location of the surface of the assumed three-dimensional sphere with latitude and longitude information corresponding to the area information
3D time series data visualization method, characterized in that. The method of claim 9,
The index information is
Including category information of each of the plurality of source data,
The step of generating the 3D coordinate information
Obtaining a weight value for each category information,
Dividing the surface of the assumed three-dimensional sphere to have an area proportional to the weight value,
Generating information indicating a specific position of the surface of the hypothesized 3D sphere so that each of the plurality of source data is included in the divided region of the corresponding category based on the category information of each of the plurality of source data
3D time series data visualization method, characterized in that. The method of claim 13,
The step of generating the 3D coordinate information
Dividing the surface of the hypothesized three-dimensional sphere by category information using Voronoi diagram
3D time series data visualization method, characterized in that. The method of claim 13,
The step of generating the 3D coordinate information
Calculating a weight for each category information based on the number of cases for each category of the plurality of source data
3D time series data visualization method, characterized in that. The method of claim 9,
The output step is
Receive the user's operation command,
Rotating or expanding/reducing the output screen based on the received user's operation command
3D time series data visualization method, characterized in that. A computer-readable recording medium storing a program for executing the method of any one of claims 9 to 16.

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