KR20160014944A - 3d mind map generation apparatus and the method thereof - Google Patents

Abstract

The present invention relates to a 3D mind map generating apparatus and a method thereof, which easily figure out a connection among topics on the mind map and figure out the connection with external big data in an easy manner, by designating a mind map information as a 3D-coordinate, writing the mind map and plays the mind map dynamically, and performing a comparative analysis with the external big data. The 3D mind map generating apparatus comprises: a mind map interface unit outputting a mind map interface which assigns 3D-coordinate to a topic for a mind map writing to configure a 3D mind map; an input unit which receives a mind map creating command for mind map creation of a user with the reference of the mind map interface; a mind map control unit which assigns coordinates to topics in accordance with the 3D mind map creating command, and creates a 3D mind map by connecting relevant topics; a display unit which displays the process result of the mind map control unit and a mind map interface by the mind map interface unit; and a mind map DB which stores the topic information of the mind map in the form of 3D information. Accordingly, the invention plays a video clip of the mind map on space, and performs a comparative analysis with the external big data, thereby increasing the utility of the mind map.

Description

TECHNICAL FIELD [0001] The present invention relates to a 3D MIND MAP GENERATION APPARATUS AND THE METHOD THEREOF,

The present invention relates to an apparatus and a method for generating a mind map, and more particularly, to a system and method for generating mind map information by designating the mind map information in three-dimensional coordinates and dynamically reproducing the created mind map, So that they can easily analyze the relevance of topics on the mind map and analyze the social phenomenon and research status in academia and industry by comparing them with external data. Dimensional mind map generating apparatus and a method thereof.

Mind Map is a new way of learning and memory developed by British man Tony Buzan in the early 1970s. A mind map is a map of ideas. A mind map is a map of a person with a multidimensional characteristic. The idea is to spread the idea from a central image in the middle of a paper, and spread it radially with keywords, images, colors, symbols, And brain development techniques that increase memory. The 'different functions of human left and right brain' discovered by Roger Sperry 's team at the same time was a good basis to support Buzzan' s mind map theory.

This mind map is a set of keywords or pictures that relate contents of thoughts and plans by drawing ideas on the paper in an appropriate way using the left brain, which is the main function of the logic and the vocabulary, and the right brain, To associate and associate them with each other, to enable systematic thinking, and to facilitate memory. In addition, researchers and academics are interested in future prospects and social phenomena analysis. In the case of an individual, demand is likely to arise for writers and creators, and it can be used as a tool for students to explore their career and improve their writing skills. In the case of companies, it is possible to maximize the work of planning document and development stage, and it is possible to deep dive various projects.

The mind map of the function described above can be added to an image, a figure, or the like using a computer by deviating from a method of creating a mind map on paper by the development of computer and portable communication device technology, To be stored on a computer and then to be read easily.

For example, in Korean Patent Registration No. 10-078744, a mobile communication terminal, which is a portable information communication device, is used to make a mind map convenient regardless of place and time, A mind map system and a method for providing the same.

In addition, Korean Patent Registration No. 10-1038561 discloses a 'joint mind map creating system' in which an establisher's terminal, a mind map server, and participant terminals are connected through a communication network to enable a founder and participants to jointly create a mind map. &Quot;

Korean Patent Laid-Open Publication No. 10-2011-0134956 discloses a method for searching, organizing, or moving a file into a single mind map file explorer folder, easily manipulating a folder by scrolling, selecting details, A " mind map file explorer " is disclosed in which a folder is organized and a description of the folder is simply displayed in a folder so that the file can be easily moved.

The above-mentioned prior arts are related to a method of generating a mind map by using a mobile communication terminal through a communication network so that topics formed by specific keywords or the like are connected to each other, performing management and confirmation work, Maps can be produced, and the created mind map can be managed in a folder method that is easy to check.

However, the techniques related to the above-mentioned conventional mind map production have a problem that the whole flow of the mind map can not be easily grasped by simply connecting the topics in a two-dimensional manner. That is, since the related mind map can always be checked only two-dimensionally, there is a problem that it is difficult to organically grasp the entire connection relation between topics at the time of confirmation of a large number of topic information.

In addition, a simple two-dimensional connection structure allows a user to create a plurality of keywords or related keywords that are related to each other in a process of configuring various numbers of topics, . Accordingly, there is a problem that the topics in which other information is stored in the same duplicate keywords are generated, which makes the relationship of topics ambiguous, which can cause confusion during information grasp.

SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve the above-mentioned problems of the prior art, and it is an object of the present invention to provide a method and apparatus for realizing a two-dimensional mind map A three-dimensional mind map generating apparatus and method for enhancing the association expressiveness of topics by expanding the connectable area of one topic in comparison with the three-dimensional mind map generating apparatus, thereby facilitating grasp of the entire organic relation of the topics The purpose.

In addition, the present invention enables a mind map generated in a three-dimensional space to be output, reproduced, and stored as a moving picture, thereby enabling the association between the topics to be recognized using a moving picture in which a topic is distributed in a space, The present invention provides a three-dimensional mind map generating apparatus and method that can easily grasp associations of various phenomena derived according to the flow of topics with surrounding topics and the related information of each topic of the mind map, .

The present invention also provides a three-dimensional mind map generating apparatus and method for facilitating sharing of a generated mind map by allowing the mind map analysis data analyzing the generated mind map information to be easily loaded into an external device, The present invention provides another object.

In addition, the present invention makes it possible to comparatively analyze the generated mind map and external big data, thereby making it possible to easily analyze the association in the external data field with respect to each generated topic of the mind map, It is another object of the present invention to provide a three-dimensional mind map generating apparatus and a method thereof, which can easily grasp the social relevance of each map in each field.

According to an aspect of the present invention, there is provided an apparatus for generating a three-dimensional mind map, the apparatus comprising: a mind map generating unit that generates a three-dimensional mind map by assigning three-dimensional coordinates to a topic for creating a mind map; An interface unit; An input unit for receiving a mind map generation command for generating a mind map of a user referring to the mind map interface; A mind map control unit for assigning three-dimensional coordinates to topics in accordance with a three-dimensional mind map generation command input through the input unit and generating a three-dimensional mind map by connecting related topics; A display unit for outputting a mind map interface by the mind map interface unit and a processing result of the mind map control unit; And a mind map DB for storing topic information of the mind map as three-dimensional information.

The mind map control unit assigns a topic on a three-dimensional coordinate system in accordance with a user input, assigns a keyword to a specified topic, creates a connection line indicating a hierarchy and a connection relationship between the topics, and stores the link in a mind map DB A map generator; And a mind map reproducing unit for reproducing and outputting the generated three-dimensional mind map according to a user input command.

The mind map control unit outputs a keyword having the content of the topic corresponding to the topic. If the keyword includes the tag information, the mind map control unit searches the mind map DB for the tag information, And sets the topic as a sub-topic of the topic, and stores the classified topics by classifying them according to user input categories regardless of the tag information.

Wherein the mind map reproducing unit includes: a time converting unit that rotates and outputs the 3D mind map in a time direction selected by the user with respect to the 3D mind map output to the display unit; A filtering unit performing filtering by tags or keywords constituting the three-dimensional mind map to output only information per tag or keyword, or outputting filtering information excluding only information pertinent to the tag or keyword; An arranging unit for arranging the topics by at least one sorting criterion among generation time, size (number of topics) or tags; Or continuously outputting the 3D mind map on the basis of at least one of generation time order, size order, priority order of tags, or category order; And at least one of them.

The mind map control unit may further include a function of converting the mind map generated in the user selected file format and storing the mind map as a machining mind map, and uploading the stored machining mind map file to an external site.

The mind map control unit classifies the external big data inputted by the user on the basis of the tag information and the time information, outputs the frequency of occurrence of each topic to the time window to the time window, And a big data analyzing unit for displaying a time and an occurrence frequency of the data.

According to an aspect of the present invention, there is provided a mind map generating method for a three-dimensional mind map generating apparatus including a mind map interface unit, an input unit, a mind map control unit, a display unit, and a mind map DB A mind map generating step of generating a topic having a user input keyword and a tag through the input unit so as to have coordinates in a three-dimensional space, and then setting up a hierarchy and connection between topics using tag information; And a mind map reproduction process of displaying the generated topics according to a user's input command.

Wherein the mind map generating step includes: a positioning step of generating a topic having a user input keyword through the input unit, in correspondence with a coordinate in a three-dimensional space; If a topic having the same tag exists in the mind map DB after searching the tag input with the keyword, the generated topic is set as a subtopic of the searched topic and is connected to a connection line. If there is no same topic, A topic grading process for generating a topic; And a topic storing step of storing the topic in a mind map DB together with keywords, tags, three-dimensional position coordinates, and rank information.

The mind map reproduction process may include: playing the mind map in a movie according to a topic, playing a moving image, exporting an external device into a recognizable data format and exporting it to the outside, sorting and outputting according to a user input sort command, A time conversion for converting the mind map according to time or space information, or a filtering for performing filtering according to a user input standard.

The big data analysis process includes: a big data classification process of classifying external big data of a user input based on one or more of the tags or keywords and extracting occurrence frequency of occurrence time; A time window generating step of displaying the big data in a visual window on a time window when the generated big data is generated for each tag or keyword; And a comparison data display step of displaying the time and frequency of generation of the data of the big data corresponding to the selected topic in the time window.

The mind map generating method may further include a machining mind map generating step of storing the machining mind map generated by processing the created mind map in a specific file form; And an uploading step of registering the machining mind map generated in the machining mind map storing process as an external site.

The present invention having the above-described structure connects the related topics of the respective topics in the three-dimensional space, so that it is possible to recognize information spatially so that the topic with the related information and the surrounding topics of each topic of the mind map It is possible to easily grasp the relation to various phenomena derived according to the flow of data.

Further, in the present invention, when selecting a plurality of topics or a confirmation of the entire mind map, the selected topics or the topics of the entire mind map are successively output in a moving picture according to a generation order, And provides the effect of enabling the user to recognize and recognize the information.

In addition, the present invention provides an effect of facilitating the sharing of the generated mind map by allowing the mind map analysis data analyzing the generated mind map information to be easily uploaded to an external device.

In addition, the present invention makes it possible to comparatively analyze the generated mind map and external big data, thereby making it easy to analyze and compare the association in the external data field with respect to each topic of the generated mind map, It provides the effect of making it easy to grasp the social relevance of the map by field.

1 is a schematic functional block diagram of a 3D mind map generating apparatus 100 according to an embodiment of the present invention.
FIG. 2 is a schematic functional block diagram of the mind map control unit 130 of FIG. 1. FIG.
Fig. 3 is a diagram showing an embodiment of an interface screen 1 implemented by the mind map interface unit 110 of Fig. 1; Fig.
4 shows a keyword window 20;
5 is a flowchart showing a process of a three-dimensional mind map generation method of the present invention.
6 is a diagram showing an output state of the generated mind map or external big data.
7 is a conceptual view of sorting by category.
FIG. 8 is a conceptual diagram showing a state in which a school topic is rearranged from a sorting state according to a category; FIG.
FIG. 9 is a view showing a state in which the social phenomenon by year is classified and used as a classification standard. FIG.

Hereinafter, the present invention will be described in more detail with reference to the accompanying drawings showing embodiments of the present invention.

1 is a schematic functional block diagram of a 3D mind map generating apparatus 100 (hereinafter referred to as a "mind map generating apparatus") according to an embodiment of the present invention.

1, the map generating apparatus 100 includes a mind map interface unit 110, an input unit 120, a mind map control unit 130, a mind map DB 140, and a display unit 150 And is implemented in a general computer system or a server computer system, a portable computer system, a mobile navigation system, or the like.

The mind map interface unit 110 includes an interface screen 110 for performing a mind map generation, a keyword input, a display of a generated mind map, sorting, filtering, playing, exporting, and synchronization with a DB And a code that is executed in a computer that enables the user to generate, process, and analyze the mind map in cooperation with the input unit 120. [

The input unit 120 includes a data input device such as a keyboard, a touch pad, a data reader, and a mouse.

The mind map control unit 130 may be implemented as a recording medium storing computer readable code for performing mind map generation, mind map reproduction, and big data analysis.

The mind map DB 140 is configured to store data such as keywords, three-dimensional position coordinates, tag information, connection relations, generation time, and ranking information of topics, which are contents representing respective topics of the generated mind map, in a structured database do. The mind map DB 140 may also be implemented as a recording medium storing codes that can be read and executed by a computer.

The display unit 150 includes a display device for visually displaying an internal driving state of the mind map generating apparatus 100 by using an LCD, a PDP, an LED, or the like.

2 is a schematic functional block diagram of the mind map control unit 130 of FIG.

As shown in FIG. 2, the mind map control unit 130 designates a topic on a three-dimensional coordinate system according to a user input, assigns a keyword to a designated topic, generates classification information using a tag, and stores it in a mind map DB A mind map reproduction unit 135 for reproducing and outputting the generated three-dimensional mind map according to a user input command, and a display unit 135 for displaying at least one of tag information and visual information with respect to external big data input from the user, And a big data analysis unit (a) for outputting the frequency of occurrence of each topic to the time window to the time window.

The mind map generation unit 131 includes a topic generation unit 132 and a topic connection unit 134.

When the user inputs a keyword and a tag through the keyword window 20 (see FIG. 4), the topic generation unit 132 generates an image on the three-dimensional coordinate corresponding to the keyword, And stores it in the mind map DB. Specifically, the topic generation unit 132 outputs a keyword having the content of the topic corresponding to the topic. When the tag information is included in the keyword, the tag information is searched in the mind map DB, and if there is a topic having a matching tag, the tag information is set as a subtopic of the topic. The topics are classified by user input category regardless of the tag information, distinguishably, and stored.

The topic connection unit 134 is configured to connect the upper topic and the lower topic with a connection line 55.

The mind map reproducing unit 135 includes a dynamic reproducing unit 136, a time converting unit 137, an aligning unit 138, and a filtering unit 139.

The dynamic playback unit 136 is configured to continuously output the 3D mind map on the basis of at least one of generation time order, size order, priority order of tags, or category order. That is, when the user inputs a dynamic reproduction command for the entire mind map, the display section displays, from the time of generating the mind map to the finally generated topic, the continuous motion picture in the visual window 5 (see FIG. 3).

The time converting unit 137 is configured to convert the mind map displayed on the visual window 5 using the three-dimensional coordinate information given to the topics according to the forward / backward, left / right, and up / At this time, if the display unit 150 has a 3D display function, the left and right eye images are generated using the three-dimensional spatial information and alternately outputted, thereby reproducing the mind map reproduced by the mind map reproducing unit 135 And display the mind map reproduced image as a stereoscopic image.

The sorting unit 138 is configured to sort the generated topics according to categories generated by the user regardless of the tag information, the generated time, the size indicating the number of the lower topics, and the topics. The categories refer to selecting and grouping topics with information of a specific field that the user wants to analyze, regardless of the tag information of each topic. At this time, the specific fields are not identical among the tags such as the government related information field, the enterprise related information field, and the school related information field, but it is easy to grasp the topics that can be included in the entire specific field.

The filtering unit 139 is configured to output a specific keyword or tag information input by the user in the mind map or to temporarily remove topics having the keyword or tag information.

The big data analyzing unit (a) classifies the external big data inputted from the user on the basis of at least one of the tag information and the time information, and matches them to the respective topics. Then, the big data analyzing unit To the time window 7 including the frequency of occurrence. When a specific topic is selected in the generated mind map, the time window 7 (see FIG. 3) is configured to visually display the position and frequency of occurrence of data corresponding to the topic. In this case, the big data may include total tweet data of a specific SNS, total stored data of a specific department of a government, research data of a specific school, all relevant data of a primary, secondary, or tertiary education institution, And the like.

FIG. 3 is a diagram showing an embodiment of the interface screen 1 implemented by the mind map interface unit 110 of FIG. 1, and FIG. 4 is a diagram showing a keyword window 20. As shown in FIG.

3, the mind map interface 1 generated by the mind map interface unit 110 and output to the display unit 150 includes a tool bar 3, a visual window 5, a time window 7, (9), an alignment window (11), an attribute window (13), and a history window (15).

The tool bar 3 is displayed in the form of a function icon. When the cursor is raised, a pop-up window is displayed at the bottom of each function window as shown in the figure.

Specifically, the 'New Task' tool opens a new window to launch a new Mind Map project. The 'Open' tool allows you to open a saved project. The 'Save' tool allows you to save a MindMap project that you are working on at a specific location. The 'print' tool prints and prints the user selection information. The 'Undo' tool cancels the input from the previous step. The 'Recover' tool will re-execute the job that was canceled. The 'add' tool outputs the keyword window 20 of FIG. 4 so that the keyword can be added. The keyword window 20 is displayed when double-clicking each topic, when double-clicking on an empty space, or when entering a control command. The 'Edit' tool will display the edit window so that you can edit the keywords of the selected topic. The 'Undo / Delete' tool allows you to delete keywords and topic boxes. The 'Cut' tool crops out the selected topic box or category. The 'Paste' tool pastes a copied or cut topic box or category into a specific location. The 'Edit Fonts' tool allows you to change the appearance of keywords, topic boxes, and categories. The 'Change Color' tool allows you to change the color of selected keywords, topic boxes, category boxes and text. The 'Move' tool allows you to rotate or move the screen. The 'Search' tool allows you to search for all the words entered. The 'TAG' tool allows you to view the tags you have entered. The Sort tool allows you to sort topics by time, category, and size. The 'filter' tool allows you to selectively view only the information you want. The 'Play' tool starts with the selected topic and selects the direction and displays the 'topics' sequentially along the connecting line. The 'Sync' tool allows you to synchronize big data, as well as synchronize Excel, Word files, Evernotes (including mobile applications), and image files. In the case of an image file, it grasps letters automatically and draws a map. In the case of Evernote, the files drawn by smartphones, tablet PCs, etc. are transferred to the map. The Export tool allows you to convert the generated mind map information into a desired file format (pdf, image, movie, Excel, etc.) and save it. The 'Upload' tool allows you to upload mind maps of desired file formats directly to various SNS and sites.

The mind map currently being created is displayed in the visual window 5. The mind maps are displayed in the positions of the corresponding three-dimensional coordinates of the topics 51 having the keywords 53 as their contents. The upper topic and the lower topic are connected to each other by a connecting line 55. The topic 55 without the pre-stored tag is displayed independently of the connection line 55. [ The size of each topic 51 increases in proportion to the number of lower topics. The generated mind map is generated with the arrangement of the three-dimensional space. The 'Positioning' tool of the visual window 5 outputs a coordinate input window allowing the user to enter the coordinates of the selected topic.

When the external big data inputted through the input unit 120 is analyzed by the big data analyzing unit (a), the time window 7 displays data similar to the keyword or tag included in the mind map created in the corresponding big data And outputting them in the form of a graph showing the frequency of occurrences according to the generation time in correspondence with the topics having respective tags or keywords.

The tag information window 9 displays the tags of the currently selected topics by the upper and lower hierarchical levels, and displays the number of the lower topics of the topics.

The alignment window (11) generates the topics at the time of creation. Size, and category.

The property window 13 is provided with a font, a font size, a color, a transparency, an emphasis, and the like of a topic, a keyword,

The history window 15 displays the mind map job events in order to display and manage the mind map jobs in a timely manner so as to easily search for previous jobs, collectively delete the jobs, do.

FIG. 5 is a flowchart showing a process of a three-dimensional mind map generating method according to the present invention.

Hereinafter, the processing procedure of the 3D mind map generating method of FIG. 5 will be described in detail with reference to FIGS. 1 to 4. FIG.

The mind map generation process of the present invention includes a mind map generation process S100, a mind map reproduction process S200, a big data analysis process S300, a machining mind map generation process S400, and an upload process S500 .

In the mind map generation process S100, when the user selects the 'add' tool of the tool bar 3, the keyword window 20 of FIG. 4 is output by selecting the empty space by clicking, double clicking, or the like , And a keyword and a tag are input, a topic corresponding to the keyword is generated. The created topic is subjected to a topic position giving process (S110) in which a position is assigned to the coordinates of an empty space selected by the user, or the three-dimensional coordinate input by the user using the position setting tool 57. [ In this case, the tag may not be input when a keyword is input, and a tag not input may be further input later.

After the position of the topic is assigned, the input tag is searched in the mind map DB 140 to set it as a subtopic of a topic having the tag, and when the tag is not searched, an independent topic is set, A topic grading process (S120) is performed.

After the ranking of the topic is given, the keyword 53 corresponding to the keyword, the tag, and the topic 51 of the generated topic is displayed, the topic 51 is displayed at the corresponding position as shown in FIG. 3, And a connection line 55 with the topics of FIG. Thus generated topics are stored in the mind map DB 140 with keywords, tags, three-dimensional coordinates, and metrics information. The above-described process is the topic storing process (S130) of Fig.

As described above, the mind map is generated by repeatedly generating and storing topics through the topic position giving process S100, the topic grading process S120, and the topic storing process S130.

When the mind map is generated by the mind map reproduction process (S200), the mind map reproduction process (S200) and the big data analysis process (S300) are selectively performed.

The mind map reproduction process S200 includes an alignment process S210, a filtering process S220, a dynamic reproduction process S230, and a time conversion process S240.

In the sorting process (S210), if a user selects a selection box of a time, size, or category of topics in the column window 11 and inputs a classification criterion, Topics or topics included in the entire mind map work are displayed and displayed on the visual window 5. At this time, the same topics with the same classification criteria are arranged in a straight line, forming respective clusters based on the center topic.

Figs. 6 to 9 are diagrams showing examples of processing results of the alignment process (S210). FIG. 7 is a conceptual diagram of sorting by category, FIG. 8 is a conceptual diagram showing a state of rearranging from a sorting state by category to a school topic, and FIG. 9 is a diagram showing an ordered state based on the social phenomenon by year.

As shown in FIG. 6, the mind map of FIG. 6 is a mind map of topics in which each account name in Facebook is a keyword. The Facebook-related mind map may be directly created, or may be created by reading the big data of a specific facebook. Keywords, tag and image information are linked and stored together with the three-dimensional position coordinates in the topics. For example, when a topic with the largest number of connected lines is sorted into a central topic, the same area-based topics are grouped together as one galaxy, Topic groups are grouped together as a set of galaxies that are distinct from each other. At the center of each group, a topic having the greatest number of connected lines is displayed, and each topic is displayed to have a size proportional to the number of connected lines. The keywords of the topics are exemplified by user accounts of Facebook, and the topics include linked text information, image information, and the like with the account as a keyword.

FIGS. 7 to 8 show different ways of aligning the three-dimensional mind map as described above.

In the case of FIG. 7, when the region is set as a category, groups of topics corresponding to each region are simplified by excluding the group of less than five connected lines. Each of the topic groups of Figure 7 is a group of top and bottom topics within the same region. And horizontally arranged groups are grouped into different regions. The group may be referred to as a connection set.

As shown in FIG. 8, the topics of the mind map of FIG. 6 are classified according to categories, the frequency of occurrence of the topics is displayed based on the time axis, and the number of topics Can be performed. 6, the topics of the facebook mind map of FIG. 6 can be classified according to the information including the topics, such as employment rate (reddish brown), research result (dark green), technology transfer (green) (Orange), and so on. And graphs the number of occurrences of topics with respective categories on the time axis. In addition, for each of the categories, the frequency of occurrence of the categories can be classified and displayed by the university. Accordingly, the occurrence frequency of the topics having the categories can be grasped and the number of occurrence frequencies of the categories can be classified and confirmed by the specific category, that is, the school.

Also, as shown in FIG. 9, the categories of the mind map for Facebook shown in FIG. 6 are classified on the horizontal axis within the social phenomenon major category and the Olympic host cities as the category. And, in the category, connection sets are created by center topics such as accident occurrence, mortality rate and crime rate by means of transportation, and the occurrence frequency of each category of each category on the vertical axis is represented by a bubble graph. You can perform an alignment that is proportional to the number of connections. An example of classification criteria that constitute a subset of connections within a category is an accident by means of transportation. In other words, on the vertical axis, land transport accidents, maritime transport accidents, air transport accidents, and transport accidents within buildings are grouped into groups of connection sets. In each group, sub-topics such as public transportation, self-transportation, passenger cars, trucks, subways, and railways are displayed as sub-topics of the central topic. In this case, the center topic is the topic with the greatest number of connection lines.

In the filtering process (S220), if a user inputs filtering criteria data such as a keyword, a tag, or a generation time to be filtered by the input of a filtering tool or a filtering command, and inputs an exclusion or a selection command, only the filtering criteria data Or topics excluding filtering reference data are output to the visual window 5 as a mind map.

In the dynamic reproduction process (S230), the user sets the starting position of the 3D mind map, and when the reproduction is started, the topic is continuously outputted along the route selected by the user. That is, when the user inputs a dynamic playback command for the entire mind map, the time series from the generation of the mind map to the finally generated topic is output to the visual window 5 (see FIG. 3) as a continuous three-dimensional moving image. In addition, when the user selects specific topics, the flow for the selected topics is recorded and output to the visual window 5 as a three-dimensional moving image. That is, when one topic is selected, the associated images are displayed and the topics associated with the topics are displayed. If another topic is selected, the image, text, and moving image information of the selected topics may be displayed again, and the connection relationship with neighboring topics may be displayed. Here, the term " three-dimensional moving image " includes not only three-dimensional images but also three-dimensional spatial coordinates.

In the time conversion process (S240), in accordance with the forward, backward, leftward, rightward, upward and downward directions of the user's visual direction change command input by the moving tool, the mind map is displayed in the visual direction input by the user using the three- And outputs it to the visual window 5.

The big data analysis process (S300) analyzes external big data input through the input unit and performs a process of comparing and analyzing the generated big mind data with the generated mind map.

For this, the big data analysis process S300 includes a big data classification process S310 for classifying the inputted big data, a time window generation process S320 for displaying the classified data on the time window 7, And a comparison data display step (S330) of displaying the generation timing position on the time window so that the generation time and the occurrence frequency of the data in the big data corresponding to the topic are selected, when the topic is selected.

Specifically, in the big data classification step S310, the data included in the external big data is extracted by the big data analysis unit (a) according to the tag or keyword of the topics in the mind map DB, and the occurrence timing and occurrence frequency And then classified and stored to correspond to the respective topics.

In the time window generation process (S320), occurrence frequency is extracted for each generation time of the classified big data, and data displayed in a graph form is displayed in the time window (7), and the corresponding data is displayed in the time window (7).

In the comparison data display step S320, when a specific topic of the mind map is selected, the position in the time window having the generation timing and the occurrence frequency of the selected topic-related data among the big data is displayed, So that the time and frequency of generation of the selected topic correspondence information can be compared and analyzed.

The processed mind map generation process S400 may include generating data by the sorting process S210, the filtering process S220, the dynamic reproduction process S230, and the time conversion process S240 of the mind map generating process S200, Or the processed mind map data generated in the big data classification process (S310), the time window generation process (S320), and the comparison data display process (S330) of the big data analysis process (S300) do. In this case, the format of the file to be stored may be a moving picture file recording a dynamic reproduction process of the mind map, a still image file of a screen to be output, an Excel file of classification data of a big data, an image file of a time window, Files.

The machining mind maps generated in the machining mind map generating process (S400) are uploaded to the external SNS or the external site selected by the user by the future upload tool and shared.

100: mind map generating apparatus 110: mind map interface unit
1: Main map interface 3: Toolbar
5: Visual scene 51: Topics
53: Keyword 57: Location Settings Tool
7: Time window 9: Tag information window
11: Alignment window 13: Properties window
15: History window
120: input unit 130: mind map control unit
131: mind map generating unit 132:
134: Topic connection unit 135: Dynamic playback unit
137: time conversion unit 138:
139: Filtering section a: Big data analysis section
20: Keyword Window

Claims (11)

A mind map interface unit for outputting a mind map interface for giving a three-dimensional coordinate to a topic for creating a mind map so that a three-dimensional mind map can be constructed;
An input unit for receiving a mind map generation command for generating a mind map of a user referring to the mind map interface;
A mind map control unit for assigning three-dimensional coordinates to topics in accordance with a three-dimensional mind map generation command input through the input unit and generating a three-dimensional mind map by connecting related topics;
A display unit for outputting a mind map interface by the mind map interface unit and a processing result of the mind map control unit; And
And a mind map DB for storing topic information of the mind map as three-dimensional information.
The map management system according to claim 1,
A mind map generating unit for assigning a topic on a three-dimensional coordinate system according to a user input, assigning a keyword to a designated topic, generating a connection line indicating gradation and connection relationship between the topics by comparing tag information, ; And
And a mind map reproducer for reproducing the generated 3D mind map according to a user input command and outputting the reproduced 3D mind map.
The mind map reproduction apparatus according to claim 2,
A time conversion unit for rotating and outputting a three-dimensional mind map in a visual direction selected by the user with respect to the three-dimensional mind map output to the display unit;
A filtering unit performing filtering by tags or keywords constituting the three-dimensional mind map to output only information per tag or keyword, or outputting filtering information excluding only information pertinent to the tag or keyword;
An arranging unit for sorting the topics by at least one sorting criterion of generation time, size or tag; or
A dynamic reproducing unit for continuously outputting the 3D mind map on the basis of at least one of generation time, size order, priority order of tags, or category order; Dimensional mind map generating apparatus according to the present invention.
The map management system according to claim 1,
Outputting a keyword having the content of the topic corresponding to the topic,
And to store and display the topics in a categorized and distinguishable manner according to user input categories regardless of the tag information given to the topics.
The map management system according to claim 1,
The mind map generated in the user selection file format is converted and stored as a machining mind map,
And a function of uploading the stored machining mind map file to an external site.
The map management system according to claim 1,
The external big data inputted from the user is classified based on the tag information and the time information, and the frequency of occurrence of each topic is output to the time window, and the corresponding timing and occurrence frequency of the selected topic are displayed And a big data analyzing unit for analyzing the three-dimensional mind map.
A mind map generating method of a three-dimensional mind map generating apparatus including a mind map interface unit, an input unit, a mind map control unit, a display unit, and a mind map DB,
A mind map generating step of generating a topic having a user input keyword and a tag through the input unit so as to have a coordinate in a three-dimensional space, and then setting a hierarchy and connection between topics using tag information; And
And displaying the generated topics according to a user's input command. The method for generating a three-dimensional mind map according to claim 1,
8. The method of claim 7,
A positioning step of generating a topic having a user input keyword through the input unit in correspondence with coordinates on a three-dimensional space;
If a topic having the same tag exists in the mind map DB after searching the tag input with the keyword, the generated topic is set as a subtopic of the searched topic and is connected to a connection line. If there is no same topic, A topic grading process for generating a topic; And
And a topic storing step of storing the topic in a mind map DB together with a keyword, a tag, a three-dimensional position coordinate, and metrics information.
The method of claim 1,
A motion picture reproduction for playing back the mind map according to a topic as a movie, an export for exporting to a recognizable data format of an external device, a sorting for output according to a user input sort command, And performing filtering based on a user input criterion. The method of generating a three-dimensional mind map according to claim 1, further comprising:
8. The method of claim 7,
A big data classifying step of classifying the external big data of the user input based on at least one of the tags or the keywords and extracting the generation occurrence frequency of the big data;
A time window generating step of displaying the big data in a visual window on a time window when the generated big data is generated for each tag or keyword; And
And displaying the time and frequency of occurrence of the data of the big data corresponding to the selected topic in the time window so as to be identifiable.
The method of claim 7,
A machining mind map generating process for storing the machining mind map generated by processing the created mind map in a specific file form; And
And an uploading step of registering the machining mind map generated in the machining mind map storing process as an external site.

Images