CN111209456A - Method and device for managing relation map - Google Patents

Method and device for managing relation map Download PDF

Info

Publication number
CN111209456A
CN111209456A CN202010010122.4A CN202010010122A CN111209456A CN 111209456 A CN111209456 A CN 111209456A CN 202010010122 A CN202010010122 A CN 202010010122A CN 111209456 A CN111209456 A CN 111209456A
Authority
CN
China
Prior art keywords
objects
attribute data
graph
time
displaying
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010010122.4A
Other languages
Chinese (zh)
Inventor
李玲
安超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Mininglamp Software System Co ltd
Original Assignee
Beijing Mininglamp Software System Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Mininglamp Software System Co ltd filed Critical Beijing Mininglamp Software System Co ltd
Priority to CN202010010122.4A priority Critical patent/CN111209456A/en
Publication of CN111209456A publication Critical patent/CN111209456A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/904Browsing; Visualisation therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367Ontology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9024Graphs; Linked lists
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

The embodiment of the invention discloses a method for managing a relationship map. The method comprises the following steps: acquiring attribute data of an object in a relational graph; displaying the classification options of the objects in the relational graph according to the attribute data of the objects in the relational graph; displaying objects of the selected category in the relationship graph according to the attribute information of the objects when receiving a selection instruction for the objects of one or more categories; the display mode of the object in the relational graph is determined by the attribute data of the object. A corresponding apparatus for managing the relationship map is also disclosed. According to the scheme, the objects of the types selected by the user can be displayed, and when the user can observe the objects of the selected types, the objects are displayed in a specific display mode under the condition of having certain attribute data, so that the objects in the relation graph can be distinguished, the efficiency of viewing the relation graph is improved, and the probability of errors in viewing the relation graph is reduced.

Description

Method and device for managing relation map
Technical Field
The present invention relates to the field of relationship maps, and in particular, to a method and apparatus for managing relationship maps.
Background
Under the big data era, the knowledge graph and data visualization technology can present data in a structured and visual mode, establish a knowledge system taking key words as centers and display the interrelation among data. On the basis, based on diversified full-scale data, the knowledge graph product can rapidly carry out intelligent analysis and association mining, provide explicit and implicit full-dimensional data association and draw a social relationship network graph reflecting the real world based on human, affairs, places and object organizations and entity-relationship-events. However, due to the breadth and depth of the knowledge system, the obtained social relationship network graph often has many branches and nodes, so that a user cannot rapidly obtain the knowledge to be obtained by directly observing the graph.
Disclosure of Invention
In order to solve the technical problem, the invention provides a method and a device for managing a relationship graph, which can improve the efficiency of checking the relationship graph by a user.
In order to achieve the object of the present invention, an embodiment of the present invention provides a method for managing a relationship graph, where the method includes:
acquiring attribute data of an object in a relational graph; wherein the attribute data of the object includes: category, identifier, tag name, subject title, and time;
displaying the classification options of the objects in the relational graph according to the attribute data of the objects in the relational graph;
displaying objects of the selected category in the relationship graph according to the attribute information of the objects when receiving a selection instruction for the objects of one or more categories; the display mode of the object in the relational graph is determined by the attribute data of the object.
In an alternative embodiment, the step of displaying the classification options of the objects in the relationship graph according to the attribute data of the objects in the relationship graph comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
In an alternative embodiment, the step of displaying the classification options of the objects in the relationship graph according to the attribute data of the objects in the relationship graph comprises:
displaying a secondary classification option under the entity, relation or event category according to the label in the attribute data of the object; wherein the name in the secondary classification option is determined according to the label name in the attribute data of the object.
In an optional embodiment, after the step of obtaining attribute data of the objects in the relationship atlas, the method further comprises:
generating a time dimension view according to attribute data of objects in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
In an alternative embodiment, when receiving an indication of a selection of one or more classes of objects, the step of displaying the objects in the relationship graph according to the attribute information of the objects comprises:
when a selection indication for one or more categories of objects is received, the selected object is highlighted relative to the objects that have not been selected.
In an alternative embodiment, a corresponding color, pattern, or combination of color and pattern is displayed next to the classification option for each object;
the time dimension view represents the number of objects in the histogram in the color, pattern, or combination of color and pattern corresponding to the objects when displaying the number of objects in the relationship graph at the same time.
In order to achieve the above object, an embodiment of the present invention provides an apparatus for managing a relationship graph, including a memory and a processor;
the memory is to store computer readable instructions;
the processor is used for reading the computer readable instructions to execute the following operations:
acquiring attribute data of an object in a relational graph; wherein the attribute data of the object includes: category, identifier, tag name, subject title, and time;
displaying the classification options of the objects in the relational graph according to the attribute data of the objects in the relational graph;
displaying objects of the selected category in the relationship graph according to the attribute information of the objects when receiving a selection instruction for the objects of one or more categories; the display mode of the object in the relational graph is determined by the attribute data of the object.
In an alternative embodiment, the operation of displaying the classification options of the objects in the relationship graph according to the attribute data of the objects in the relationship graph comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
In an alternative embodiment, the processor is configured to read and execute computer readable instructions to perform the following operations:
after the operation of obtaining the attribute data of the object in the relational graph, generating a time dimension view according to the attribute data of the object in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
In an alternative embodiment, a corresponding color, pattern, or combination of color and pattern is displayed next to the classification option for each object;
the time dimension view represents the number of objects in the histogram in the color, pattern, or combination of color and pattern corresponding to the objects when displaying the number of objects in the relationship graph at the same time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the example serve to explain the principles of the invention and not to limit the invention.
FIG. 1 is a flow chart of a method for managing a relationship graph as provided by an embodiment of the present invention;
FIG. 2 illustrates a user interface used by a method of managing a relationship graph provided by an embodiment of the invention;
fig. 3 is a block diagram of an apparatus for managing a relationship map according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The steps illustrated in the flow charts of the figures may be performed in a computer system such as a set of computer-executable instructions. Also, while a logical order is shown in the flow diagrams, in some cases, the steps shown or described may be performed in an order different than here.
In order to solve the above technical problem, an embodiment of the present invention provides a method for managing a relationship graph. As shown in fig. 1, the method includes steps S101 to S105.
Step S101, acquiring attribute data of an object in the relationship map.
Wherein the attribute data of the objects in the relational graph is used for drawing the objects in the relational graph. The categories of objects include: entities, relationships, and events. That is, the class of the object is one among an entity, a relationship, and an event. In the relationship graph, a relationship may exist between an object of an entity category and an object of an entity category, a relationship may exist between an object of an entity category and an object of an event category, or a relationship may exist between an object of an event category and an object of an event category. Objects of the relationship category are used to link objects of other categories. Attribute information of objects in the relationship graph is generated at the time of recording the objects in the relationship graph. The attribute data of the object includes: category, identifier, tag name, object title, and time. Wherein the identifier is used to resolve the entry in a subsequent step. One entry contains the complete attribute data of the object, which includes: identifier, tag name, object title, and time. The identifier can contain the category information of the object; alternatively, the attribute data of the object further includes an item of category. In step S101, attribute data of an object in the relationship graph is acquired, and the attribute data of the object is used for generating the relationship graph in the subsequent step.
Step S103, displaying classification options of the objects in the relational graph according to the attribute data of the objects in the relational graph.
Here, the objects may be classified into a plurality of categories of objects according to attribute data of the objects in the graph, and the classified categories may be displayed for a user to select or not select one or more of the classified categories of objects when viewing the relationship graph, so that the selected category of objects is displayed in the relationship graph, thereby enabling the user to view the selected type of objects.
Taking the user interface shown in FIG. 2 as an example, the lower left portion shows a filter bar 200. The category 210 of the object is displayed in the filter bar 200, and the object is divided into three categories, namely an entity category, an event category and a relationship category. Each category of objects is preceded by a check box 212, the check box 212 being configured to receive a selection of the category of objects, and when the status of the check box 212 is checked, objects in the same row as the check box 212 are selected, which will show in the user interface the number of times the selected objects appear in chronological order in the time dimension view 300 on the right side of the filter bar 200. In the time dimension view 300, the horizontal axis is a time axis 310, the scale of the time axis (i.e., time) is displayed below the time axis 310, the measurement of the time axis is adjustable, and the upper right corner of the time dimension view 300 displays various units of the measurement (e.g., year, month, week, day, hour) in the time axis, and the unit of the measurement is adjustable by the user; in addition, the upper left corner of the time dimension view 300 can also display the range of the time axis and accept the user's selection of the range of the time axis; the left-most vertical direction of the time dimension view 300 shows a number of reference values 315, and a dashed reference line extends to the right from the reference values 315. The time dimension view 300 is in the form of a histogram showing the number of objects; the bar 320 in the histogram shows the number of objects. The position of the bar 320 on the time axis and the vertical height of the bar 320 are determined by the time among the attribute data of the object. For example, the number represented by the bars 320 shown in fig. 2 is 1, and 1, respectively, in chronological order.
A step S105 of displaying the objects of the selected category in the relationship graph according to the attribute information of the objects when receiving the selection instruction for the objects of one or more categories; the display mode of the object in the relational graph is determined by the attribute data of the object.
As shown in fig. 2, a relationship map 400 is shown in fig. 2. The relation graph comprises entity class objects and/or event class objects which are connected by two ends of a relation class object in a connecting line shape, and the entity class objects are connected with the entity class objects, the entity class objects are connected with the event class objects, and the event class objects are connected with the event class objects through the relation class objects in the connecting line shape. The surroundings of the object may display the information of the object according to the object title in the attribute data of the object, such as "liugeping" at the center in the relationship graph 400 of fig. 2. The relationship map can simply show the meaning of the object.
Here, since the objects have already been classified in step S103 for the user to select the objects according to the categories of the objects, in step S105, when a selection instruction for one or more categories of the objects is received, the objects of the selected category are displayed; and when the object is displayed, determining the display mode of the object according to the attribute data of the object: if the attribute data of interest of the two objects are the same, displaying in the same display manner; if the attribute data of interest of the two objects are different, they are displayed in different display manners from each other. The display means referred to herein may comprise one or a combination of colors, patterns and shapes, as well as variations in colors, patterns and/or shapes. Through the method, when the user can observe the selected type of object, the object can be displayed in a specific display mode under the condition of having certain attribute data, so that the object in the relation graph can be distinguished, the efficiency of viewing the relation graph is improved, and the probability of error in viewing the relation graph is reduced.
In an alternative embodiment, step S103 comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
Here, the objects are classified according to categories in the attribute data of the objects, and classification options of the objects in the relationship graph are displayed, that is, the objects are classified into three categories according to an entity category, a relationship category, and an event category for a user to select. Here, when the classification option of the object is displayed, a pattern corresponding to the classification option may be displayed, thereby making it easier for a user to distinguish the classification option.
In an alternative embodiment, step S103 comprises:
displaying a secondary classification option under the entity, relation or event category according to the label in the attribute data of the object; wherein the name in the secondary classification option is determined according to the label name in the attribute data of the object.
As shown in fig. 2, a second level classification option 220 is displayed in fig. 2, the second level classification option 220 is determined according to a "tag" item in the attribute data of the object, and a name of the second level classification option 220 is displayed in the user interface according to a "tag name" item in the attribute data of the object; a check box is arranged on the left side of the secondary classification option, a unique marking color of the secondary classification option is displayed on the right side of the secondary classification option, and the marking color displays the secondary classification category of the object in the time dimension view 300; the name in the secondary classification option is determined according to the label name in the attribute data of the object.
In an optional embodiment, after step S101, the method further comprises:
generating a time dimension view according to attribute data of objects in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
In an alternative embodiment, step S105 includes:
when a selection indication for one or more categories of objects is received, the selected object is highlighted relative to the objects that have not been selected.
The highlighting referred to herein may be displayed in a variety of ways: for example, the selected object may be highlighted directly; alternatively, the color of the unselected objects may be faded so that the selected object is more prominently displayed relative to the unselected object.
In an alternative embodiment, a corresponding color, pattern, or combination of color and pattern is displayed next to the classification option for each object;
the time dimension view represents the number of objects in the histogram in the color, pattern, or combination of color and pattern corresponding to the objects when displaying the number of objects in the relationship graph at the same time.
In order to solve the above technical problem, an embodiment of the present invention provides an apparatus for managing a relationship graph, as shown in fig. 3, the apparatus includes a memory 10 and a processor 20;
memory 10 is used to store computer readable instructions;
the processor 20 is configured to read the computer readable instructions to perform the following operations:
acquiring attribute data of an object in a relational graph; wherein the attribute data of the object includes: category, identifier, tag name, subject title, and time;
displaying the classification options of the objects in the relational graph according to the attribute data of the objects in the relational graph;
displaying objects of the selected category in the relationship graph according to the attribute information of the objects when receiving a selection instruction for the objects of one or more categories; the display mode of the object in the relational graph is determined by the attribute data of the object.
In an alternative embodiment, the operation of displaying the classification options of the objects in the relationship graph according to the attribute data of the objects in the relationship graph comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
In an alternative embodiment, processor 20 is configured to read and execute computer readable instructions to perform the following operations:
after the operation of obtaining the attribute data of the object in the relational graph, generating a time dimension view according to the attribute data of the object in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
In an alternative embodiment, a corresponding color, pattern, or combination of color and pattern is displayed next to the classification option for each object;
the time dimension view represents the number of objects in the histogram in the color, pattern, or combination of color and pattern corresponding to the objects when displaying the number of objects in the relationship graph at the same time.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A method of managing a relationship graph, comprising:
acquiring attribute data of an object in a relational graph; wherein the attribute data of the object includes: category, identifier, tag name, subject title, and time;
displaying classification options of objects in a relation map according to attribute data of the objects in the relation map;
displaying objects of one or more categories in a relationship graph according to attribute information of the objects when receiving selection instructions for the objects of the one or more categories; wherein the display mode of the object in the relational graph is determined by the attribute data of the object.
2. The method of claim 1, wherein the step of displaying classification options for objects in a relational graph according to attribute data of the objects in the relational graph comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
3. The method of claim 2, wherein the step of displaying classification options for objects in a relationship graph according to attribute data of the objects in the relationship graph comprises:
displaying a secondary classification option under the entity, relation or event category according to the label in the attribute data of the object; and determining the name in the secondary classification option according to the label name in the attribute data of the object.
4. A method according to any of claims 1-3, wherein after the step of obtaining attribute data of objects in a relational graph, the method further comprises:
generating a time dimension view according to attribute data of objects in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
5. The method of claim 4, wherein when receiving an indication of a selection of one or more classes of objects, the step of displaying objects in a relationship graph based on attribute information of the objects comprises:
when a selection indication for one or more categories of objects is received, the selected object is highlighted relative to the objects that have not been selected.
6. The method of claim 4, wherein a corresponding color, pattern, or combination of color and pattern is displayed next to each object's classification option;
the time dimension view represents the number of objects in the relationship graph in a color, pattern, or combination of color and pattern corresponding to the objects in the histogram when displaying the number of objects in the relationship graph at the same time.
7. An apparatus for managing a relationship graph, comprising a memory and a processor;
the memory is to store computer readable instructions;
the processor is configured to read the computer readable instructions to perform the following operations:
acquiring attribute data of an object in a relational graph; wherein the attribute data of the object includes: category, identifier, tag name, subject title, and time;
displaying classification options of objects in a relation map according to attribute data of the objects in the relation map;
displaying objects of one or more categories in a relationship graph according to attribute information of the objects when receiving selection instructions for the objects of the one or more categories; wherein the display mode of the object in the relational graph is determined by the attribute data of the object.
8. The apparatus of claim 7, wherein the operation of displaying classification options for objects in a relational graph according to attribute data of the objects in the relational graph comprises:
displaying classification options of the objects in the relational graph according to the categories in the attribute data of the objects; wherein the categories include: entities, relationships, and events.
9. The apparatus of claim 7 or 8, wherein the processor is configured to read and execute the computer-readable instructions to:
after the operation of obtaining the attribute data of the objects in the relational graph, generating a time dimension view according to the attribute data of the objects in the relational graph; wherein one axis of the time dimension view is a time axis, the other axis represents the number of objects in the relationship graph at the same time in the form of a histogram, and the time dimension view receives a selection of objects at the same time or within a time period;
when a selection of objects at the same time or within a time period is received, the objects at the selected time or time period are displayed in the relationship graph.
10. The apparatus of claim 9, wherein a corresponding color, pattern, or combination of color and pattern is displayed next to the classification option of each object;
the time dimension view represents the number of objects in the relationship graph in a color, pattern, or combination of color and pattern corresponding to the objects in the histogram when displaying the number of objects in the relationship graph at the same time.
CN202010010122.4A 2020-01-06 2020-01-06 Method and device for managing relation map Pending CN111209456A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010010122.4A CN111209456A (en) 2020-01-06 2020-01-06 Method and device for managing relation map

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010010122.4A CN111209456A (en) 2020-01-06 2020-01-06 Method and device for managing relation map

Publications (1)

Publication Number Publication Date
CN111209456A true CN111209456A (en) 2020-05-29

Family

ID=70787358

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010010122.4A Pending CN111209456A (en) 2020-01-06 2020-01-06 Method and device for managing relation map

Country Status (1)

Country Link
CN (1) CN111209456A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070211056A1 (en) * 2006-03-08 2007-09-13 Sudip Chakraborty Multi-dimensional data visualization
CN107291802A (en) * 2017-05-12 2017-10-24 北京金堤科技有限公司 Relation map methods of exhibiting and device
CN108021624A (en) * 2017-11-21 2018-05-11 北京金堤科技有限公司 The method and device that a kind of timeliness dynamic collection of illustrative plates shows
CN108133047A (en) * 2018-01-15 2018-06-08 北京金堤科技有限公司 Methods of exhibiting, device and the electronic equipment of enterprise's collection of illustrative plates
CN108460083A (en) * 2018-01-16 2018-08-28 浙江大学 A kind of knowledge mapping visual query tool
CN109918475A (en) * 2019-01-24 2019-06-21 西安交通大学 A kind of Visual Inquiry method and inquiry system based on medical knowledge map
CN110175239A (en) * 2019-04-23 2019-08-27 成都数联铭品科技有限公司 A kind of construction method and system of knowledge mapping

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070211056A1 (en) * 2006-03-08 2007-09-13 Sudip Chakraborty Multi-dimensional data visualization
CN107291802A (en) * 2017-05-12 2017-10-24 北京金堤科技有限公司 Relation map methods of exhibiting and device
CN108021624A (en) * 2017-11-21 2018-05-11 北京金堤科技有限公司 The method and device that a kind of timeliness dynamic collection of illustrative plates shows
CN108133047A (en) * 2018-01-15 2018-06-08 北京金堤科技有限公司 Methods of exhibiting, device and the electronic equipment of enterprise's collection of illustrative plates
CN108460083A (en) * 2018-01-16 2018-08-28 浙江大学 A kind of knowledge mapping visual query tool
CN109918475A (en) * 2019-01-24 2019-06-21 西安交通大学 A kind of Visual Inquiry method and inquiry system based on medical knowledge map
CN110175239A (en) * 2019-04-23 2019-08-27 成都数联铭品科技有限公司 A kind of construction method and system of knowledge mapping

Similar Documents

Publication Publication Date Title
US6957187B1 (en) System for aiding to make medical care schedule, and program storage device readable by the system
Andrienko et al. Visual analytics methodology for eye movement studies
US9336620B2 (en) Advanced data visualization solutions in high-volume data analytics
US20040252128A1 (en) Information visualization methods, information visualization systems, and articles of manufacture
US7760203B1 (en) Graphic color-pixel-based visual-analytic representations for datasets
US20100199223A1 (en) Hierarchy display
CN110197715A (en) A kind of medical image browsing system for read tablet teaching
Shimabukuro et al. Coordinated views to assist exploration of spatio-temporal data: A case study
Nestorov et al. Generating insights through data preparation, visualization, and analysis: Framework for combining clustering and data visualization techniques for low-cardinality sequential data
CN111045767B (en) Method and system for displaying map labels on map based on flexible data configuration
CN109816260A (en) Based on psychologic vocational ability evaluation system
Ghazali et al. Missing data exploration in air quality data set using R-package data visualisation tools
CN111209456A (en) Method and device for managing relation map
CN110751558A (en) Construction method of time axis tool for securities risk analysis and judgment
US20080294671A1 (en) Exporting aggregated and un-aggregated data
Volk et al. Communicating and visualising multicriterial trustworthiness under uncertainty
CN113362174B (en) Data comparison method, device, equipment and storage medium
CN106503070B (en) A kind of engine test data three-dimensional Waterfall plot method for reconstructing
Noirhomme-Fraiture et al. Visualizing and editing symbolic objects
US20210042977A1 (en) Information display apparatus, method for controlling information display apparatus, and storage medium
CN102663548A (en) Method and system for social management information scoring realization
Weinberg Using geospatial data to inform historical research in R
US20130335421A1 (en) Method for generating a graphical representation of structured data, generation apparatuses and computer program product
CN114003604A (en) Data storage system and method for processing data by using computer
CN117594178B (en) Method, system, storage medium and equipment for processing vital sign information

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20200529