WO2023077732A1 - Procédé et système de développement de visualisation de connaissances pour grand écran de visualisation de données - Google Patents

Procédé et système de développement de visualisation de connaissances pour grand écran de visualisation de données Download PDF

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WO2023077732A1
WO2023077732A1 PCT/CN2022/087217 CN2022087217W WO2023077732A1 WO 2023077732 A1 WO2023077732 A1 WO 2023077732A1 CN 2022087217 W CN2022087217 W CN 2022087217W WO 2023077732 A1 WO2023077732 A1 WO 2023077732A1
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knowledge
visualization
component
data
abstract
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PCT/CN2022/087217
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Chinese (zh)
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鄂海红
宋美娜
刘雨薇
梁月梅
康雯珺
刘钟允
梁静茹
丛丽静
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北京邮电大学
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
    • G06F16/367—Ontology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/34—Browsing; Visualisation therefor

Definitions

  • the present disclosure relates to the field of data visualization technology and data application technology, and in particular to a method and system for developing knowledge visualization oriented to a data visualization large screen.
  • Realizing knowledge visualization based on knowledge graph can further expand the application range of data visualization technology and improve the ability of data exploration and analysis in the process of visualization.
  • the current data visualization application system mainly uses various types of charts to visualize data, and lacks applications for knowledge data visualization and interactive exploration.
  • the present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.
  • this disclosure proposes a knowledge visualization development method and system for large data visualization screens, and provides a development template for front-end components to realize knowledge visualization based on knowledge graphs, which can quickly provide traditional chart components in data visualization large screens.
  • the knowledge query and knowledge display capabilities required for knowledge visualization solve the limitations of the current front-end visualization component technology in the field of knowledge graphs in realizing knowledge visualization, and improve the scalability and development efficiency of applications.
  • the first purpose of the present disclosure is to propose a knowledge visualization development method oriented to a data visualization large screen.
  • the second purpose of the present disclosure is to propose a knowledge visualization development system oriented to a data visualization large screen.
  • a third object of the present disclosure is to propose a non-transitory computer-readable storage medium.
  • a fourth object of the present disclosure is to provide an electronic device.
  • a fifth object of the present disclosure is to provide a computer program product.
  • a sixth object of the present disclosure is to propose a computer program.
  • the embodiment of the first aspect of the present disclosure proposes a knowledge visualization development method oriented to the data visualization large screen, including:
  • data format conversion is performed on different knowledge visualization abstract components in the component library, and the current visualization chart is automatically adapted to format knowledge query results;
  • the components in the component library are matched and combined, and the interaction relationship between the components is set to realize the knowledge visualization oriented to the data visualization large screen.
  • the knowledge visualization development method oriented to data visualization large screen in the embodiment of the present disclosure divides different knowledge visualization functional components, generates knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components; Brother component communication, which generates data flow channels for component library communication; based on the data flow channel, performs data format conversion for different knowledge visualization abstract components in the component library, and automatically adapts the current visual chart to format knowledge query results; based on the format According to the usage rules of knowledge visualization abstract components, the components in the component library are matched and combined, and the interaction relationship between components is set to realize the knowledge visualization oriented to the big screen of data visualization.
  • This disclosure can provide the traditional chart components in the data visualization large screen to quickly have the knowledge query and knowledge display capabilities required for knowledge visualization, solve the limitations of the current front-end visualization component technology in the field of knowledge graphs in realizing knowledge visualization, and improve the application. Scalability and development efficiency.
  • the knowledge visualization abstraction component includes: a knowledge query abstraction component and a knowledge presentation abstraction component, wherein the knowledge query abstraction component includes: initiate a knowledge query with a knowledge map stored in a graph database as a data source request, distribute the knowledge query result to each knowledge display abstract component; the knowledge display abstract component includes: continuously monitor the update of the knowledge query result, and convert the knowledge query result into a graph-like component according to the specified data format The display data used.
  • the design is based on sibling component communication of knowledge visualization data, including: designing sibling visual components based on a large-screen canvas, the canvas container carries the visual components, and the container component of the canvas container and There is a parent-child relationship between the visualization components, and the knowledge visualization abstract component is added, and the knowledge visualization abstract component is used as a child component of the visualization component. If the parent components of the knowledge visualization abstract components are in a sibling relationship, Then the knowledge query abstract component and the knowledge display abstract component are regarded as a pseudo-brother relationship.
  • the generating a data flow channel for component library communication includes: the knowledge query abstraction component storing the knowledge display that has a data linkage relationship with the knowledge query abstraction component in an internal attribute uidList The identification uid of the abstract component; according to the knowledge query behavior corresponding to the identification uid, submit the corresponding query result to the store warehouse based on the réelle development framework, and store it with the identification uid as the key; the knowledge display abstract component monitors in real time For data changes in the store warehouse, the corresponding data is obtained by using its own identification uid as a key, and processed to become the formatted data available to the visualization component.
  • the data format conversion of different knowledge visualization abstract components in the component library includes: designing a hierarchical structure for storing data formats by layer-by-layer processing logic, and using arrays as storage methods , use the hierarchical traversal method to process the knowledge query results layer by layer into formatted data available to the chart component.
  • the layer-by-layer processing logic includes:
  • the embodiment of the second aspect of the present disclosure proposes a knowledge visualization development system oriented to a data visualization large screen, including:
  • a component generation module configured to divide different knowledge visualization functional components, and generate knowledge visualization abstract components according to the characteristics of the different knowledge visualization functional components
  • the component communication design module is used to design sibling component communication based on knowledge visualization data according to the knowledge visualization abstract component, and generate a data flow channel for component library communication;
  • a data processing module configured to perform data format conversion on different knowledge visualization abstract components in the component library based on the data flow channel, and automatically adapt the current visualization chart to format knowledge query results;
  • the result display module is used for matching and combining the components in the component library based on the formatted knowledge query results and according to the usage rules of the knowledge visualization abstract component, and setting the interaction relationship between the components, so as to realize data-oriented visualization Big screen knowledge visualization.
  • the component generation module is used to divide different knowledge visualization functional components, and generate knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components;
  • the component communication design module It is used to design sibling component communication based on knowledge visualization data based on knowledge visualization abstract components, and to generate data flow channels for component library communication;
  • the data processing module is used to perform data processing on different knowledge visualization abstract components in the component library based on data flow channels.
  • the result display module is used to format the knowledge query results based on the usage rules of the knowledge visualization abstract components, and combine the components in the component library, and Set the interactive relationship between components to realize the knowledge visualization oriented to the big screen of data visualization.
  • This disclosure can provide the traditional chart components in the data visualization large screen to quickly have the knowledge query and knowledge display capabilities required for knowledge visualization, solve the limitations of the current front-end visualization component technology in the field of knowledge graphs in realizing knowledge visualization, and improve the application. Scalability and development efficiency.
  • the knowledge visualization development system oriented to data visualization large screen further includes a writing module, which is used to write abstract components with knowledge visualization functions, introduce and use knowledge visualization abstract component tags inside each component to Using the knowledge visualization capability includes: based on the Vue development framework, applying the knowledge visualization abstract component inside the template tag of the component, and using the knowledge visualization abstract component tag to wrap the html code of the component.
  • the component communication design module includes: a knowledge query abstract component module and a knowledge display abstract component module, wherein the knowledge query abstract component module is used to use the knowledge graph stored in the graph database as a data source Initiate a knowledge query request, distribute knowledge query results to each knowledge display abstract component; and the knowledge display abstract component module is used to continuously monitor the update of the knowledge query result, and convert the knowledge query result according to the specified data format Display data that can be used by chart class components.
  • the component communication design module is further configured to process data through a hierarchical processing method, so as to optimize the automatic processing performance of the data processing module.
  • the embodiment of the third aspect of the present disclosure provides a non-transitory computer-readable storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, any one of the above first aspects can be realized.
  • an embodiment of the fourth aspect of the present disclosure proposes an electronic device, including: a memory; a processor; and a computer program stored in the memory and operable on the processor, wherein the When the processor executes the computer program, the method for developing knowledge visualization oriented to a data visualization large screen as described in any embodiment of the first aspect above is implemented.
  • the embodiment of the fifth aspect of the present disclosure proposes a computer program product, including a computer program, when the computer program is executed by a processor, it realizes the data-oriented visualization described in any embodiment of the first aspect above.
  • a large-screen knowledge visualization development method
  • the embodiment of the sixth aspect of the present disclosure proposes a computer program, including computer program code, when the computer program code is run on the computer, the computer executes the computer program described in any embodiment of the first aspect above.
  • FIG. 1 is a flow chart of a knowledge visualization development method for a data visualization large screen provided by an embodiment of the present disclosure
  • FIG. 2 is a schematic diagram of the overall architecture of the data visualization large screen provided by the embodiment of the present disclosure
  • FIG. 3 is a schematic structural diagram of an abstract component class for knowledge query provided by an embodiment of the present disclosure
  • FIG. 4 is a schematic structural diagram of the knowledge display abstract component class provided by the embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of the relationship between large screen components provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic diagram of a comparison of communication data flow paths of old and new components provided by an embodiment of the present disclosure
  • FIG. 7 is a schematic diagram of the calling process of the knowledge visualization method provided by the embodiment of the present disclosure.
  • FIG. 8 is a schematic diagram of the storage structure of each layer of the hierarchical structure of the data format provided by the embodiment of the present disclosure.
  • FIG. 9 is a schematic diagram of a storage structure of a data format provided by an embodiment of the present disclosure.
  • FIG. 10 is a schematic flowchart of layer-by-layer processing of query results provided by an embodiment of the present disclosure
  • FIG. 11 is a schematic structural diagram of a knowledge visualization development system oriented to a data visualization large screen provided by an embodiment of the present disclosure.
  • This disclosure is oriented towards realizing knowledge visualization on the large screen of data visualization, and requires the internal component library of the large screen to be able to bind the graph database as a data source, to establish an interactive linkage relationship between data between components, and to use components that can perform query behaviors (such as search box components, Selector components, etc.) perform knowledge query based on the knowledge map stored in the graph database, and the results obtained by the knowledge query are displayed through other visual graph components.
  • this disclosure designs and develops a knowledge visualization abstract component, which will be used as a subcomponent of the large screen component, so that it has the knowledge query and knowledge display capabilities required for knowledge visualization , a reasonable combination of components can complete the exploration and interaction of knowledge. Specifically shown in Figure 2.
  • Fig. 1 is a flow chart of a knowledge visualization development method oriented to a data visualization large screen according to an embodiment of the present disclosure.
  • the knowledge visualization development method for data visualization large screen includes steps S1 to S4.
  • Step S1 divide different knowledge visualization functional components, and generate knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components.
  • an abstract component is similar to a normal component, but the component itself does not present any content to the DOM, and is generally used to add additional functional behavior to the component or perform some processing on the rendering of the component.
  • knowledge visualization it only needs to use the large-screen component library for knowledge query and knowledge display without additional rendering. Therefore, the use of abstract components can efficiently complete the reuse of the large-screen component library for the knowledge visualization function.
  • the knowledge visualization abstract component designed in this disclosure is used as a subcomponent of the data visualization component to provide the corresponding knowledge visualization function without affecting the normal rendering of the original html code of the component.
  • the knowledge visualization abstract component needs to be used inside the ⁇ template> tag of the component, and the HTML code of the component is wrapped with the abstract component tag, namely:
  • the large screen component should have two main functions: the knowledge query abstract component is used for knowledge query and the knowledge display abstract component is used for knowledge display.
  • the knowledge query abstract component is generally applicable to components that can execute query behaviors, such as search box components, selector components, and the like.
  • the user uses this type of component to input the keywords used for knowledge query, and the abstract component uses the knowledge graph stored in the graph database as the data source to initiate a knowledge query request, and the query results will be distributed to each knowledge display abstract component.
  • uidList private attribute, a collection of uids of knowledge display components that interact with knowledge query components.
  • searchData public method, which is provided externally to component calls for knowledge query.
  • pushData private method, which distributes the knowledge query results to the corresponding knowledge display components.
  • the knowledge display abstract component is generally applicable to chart components that can display data, such as histogram components, table components, and the like.
  • This type of component provides the abstract component with the data format it needs.
  • the abstract component continuously monitors the update of knowledge query results, and converts the query results into display data that can be used by chart components according to the specified data format.
  • uid public attribute, the unique identifier of the knowledge display component.
  • dataConfig private attribute, the display data structure specified by the knowledge display component according to the characteristics of the chart itself.
  • setDataConfig public method, which is provided to the component to set dataConfig to ensure that the component can obtain display data in the correct format.
  • createUid private method, create a random number string as component uid.
  • transData private method, according to dataConfig, the knowledge query result is converted into the structured data required by the component.
  • Step S2 according to the knowledge visualization abstract component, design sibling component communication based on knowledge visualization data, and generate a data flow channel for component library communication.
  • each large-screen component is an instance of réelle.component, and the direction of data flow can only flow from parent components to child components. components.
  • the data displayed by the large-screen visual chart component is first parsed by the parent component, and then passed to the child component instance for assignment and display. There will be no data exchange between sibling components.
  • the knowledge query component needs to dispatch the query results to the upper parent component in the form of events, and the parent component decides to distribute it to the corresponding child component to complete the knowledge display.
  • the realization of knowledge visualization requires more data flow between components, and it is difficult for the parent component to handle it uniformly.
  • this disclosure is based on the réelle development framework, and the knowledge visualization abstract component is designed using the réellex state management mode, bypassing the parent component, simplifying the data flow path, realizing fast communication between sibling components, and completing the knowledge map-based knowledge exploration.
  • FIG. 5 is a schematic diagram of the relationship between large screen components.
  • the visual components in the large-screen canvas are siblings, and the canvas container hosts these visual components, and the parent-child relationship between the container components and the visual components.
  • the knowledge visualization abstract component is added, the abstract component exists as a subcomponent of the visualization component. At this time, there will be a false brother component relationship between these abstract components. That is, when the parent components of abstract components are siblings, these abstract components can be regarded as pseudo-siblings.
  • the sibling component communication solution proposed in the present disclosure is implemented between these pseudo-sibling components.
  • FIG. 6 is a comparison diagram of communication data flow paths of old and new components.
  • the core of Vuex is the store warehouse
  • component A submits data to the store warehouse
  • other components can obtain the data by accessing the store warehouse.
  • the knowledge query abstract component stores the unique identifier uid of the knowledge display abstract component that has a data linkage relationship with it in the internal attribute uidList, and submits the corresponding query results to the store warehouse according to the knowledge query behavior corresponding to the uid, and stores them with uid as the key .
  • the knowledge display abstract component always monitors the data changes in the store warehouse, obtains the corresponding data with its own uid as the key, and further processes it to become the formatted data available to the visual component.
  • the knowledge visualization abstract component changes the inherent data flow direction, enabling each component to complete the data exchange between components more conveniently.
  • the visualization component itself does not need to consider how to communicate with other components or how to format data. It only needs to use the abstract component class to provide The interface function to initiate a knowledge search request, or obtain data that meets the display requirements of the component, and the operation of data exchange is all completed by the abstract component.
  • Fig. 7 is a sequence diagram of the implementation of the knowledge visualization function. As shown in FIG. 7 , the calling process of the knowledge visualization method proposed in the present disclosure is shown.
  • the user drags a component in the component library to the large-screen canvas to create a component instance, and the internal abstract component then creates a corresponding functional class instance.
  • a unique identifier uid is generated to determine the format required for the component to display data.
  • the user configures the interactive relationship of the components on the visualization page, uses uid as the identifier to determine the corresponding relationship between the knowledge query instruction and the display component (different knowledge display components can correspond to different knowledge query instructions), and improves the data source and other parameters required for the query information.
  • the knowledge display function instance uses its own uid as the key to monitor the changes of the store warehouse at all times.
  • the user uses the knowledge query component to initiate the knowledge query behavior, and the component calls the query function instance to execute the query request in the target data source, and stores the query result data corresponding to the query command into the store warehouse with the uid in the uidList as the key.
  • the knowledge display function instance monitors the changes in the store warehouse, obtains new query results, converts them into structured data that can be used by components, performs knowledge display, and realizes knowledge visualization oriented to the big screen of data visualization.
  • Step S3 based on the data flow channel, perform data format conversion for different knowledge visualization abstract components in the component library, and automatically adapt the current visualization chart to format the knowledge query results.
  • the data visualization large-screen component library contains rich chart components, which can be used to support the knowledge display function of knowledge visualization.
  • Most of the components are encapsulated based on echarts and antv chart libraries.
  • the data formats required by different chart components are often quite different, and due to format mismatch, knowledge query result data cannot be directly used. Therefore, the knowledge visualization abstract component needs to adapt to the data format of various chart components, and automatically process the knowledge query results into formatted data that the visualization component can use.
  • the present disclosure performs formatting processing on data, realizes knowledge display abstraction components to convert data formats, and automatically adapts to current visual charts.
  • the hierarchical structure of the data format through the analysis and arrangement of the data structure characteristics required by the chart components, it is found that the data used in the chart display is basically a combination of array type and object type.
  • the required data for the histogram is: [ ⁇ x:"Mon",y:10 ⁇ , ⁇ x:"Tue",y:52 ⁇ , ⁇ x:"Wed",y:200 ⁇ , ⁇ x:"Thu",y:334 ⁇ , ⁇ x:"Fri",y:220 ⁇ ], that is, store multiple objects with attributes x and y in the array.
  • the data required for the two-way column chart is: [ ⁇ x:"income",y:[320,302,341] ⁇ , ⁇ x:"expenditure",y:[-120,-132,-101] ⁇ ], that is, in Multiple objects with attributes x and y are stored in the array, and the value of attribute y is an array type.
  • this disclosure designs a hierarchical structure for storing the data format, corresponding to the attribute dataConfig of the knowledge display function class.
  • the hierarchical structure of dataConfig is stored in an array, and the storage structure of each layer is shown in Figure 8.
  • the first position of the array stores a character string, indicating the data type of the current level.
  • dataConfig[0] the dataConfig[0]
  • the attributes that should be included in the object type of this level in sequence.
  • the properties are generally basic data types such as strings and numbers, and also It can be a reference type such as an object or an array. When it is a reference type, it means that there is a next-level structure.
  • the knowledge query result can be processed layer by layer by means of hierarchical traversal into formatted data available to the chart component.
  • the disclosure proposes a method for processing query results layer by layer, which is called when a certain layer needs to be processed.
  • the execution logic of this method is as follows 1-5.
  • Step S4 based on the formatted knowledge query results, according to the usage rules of knowledge visualization abstract components, collocate and combine the components in the component library, and set the interaction relationship between the components, so as to realize the knowledge visualization oriented to the big screen of data visualization.
  • the knowledge visualization development method oriented to the data visualization large screen in the embodiment of the present disclosure divides different knowledge visualization functional components and generates knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components; according to the knowledge visualization abstract components, design a knowledge visualization based Data sibling component communication generates data flow channels for component library communication; based on data flow channels, data format conversion is performed on different knowledge visualization abstract components in the component library, and the current visual chart is automatically adapted to format knowledge query results; based on Format the knowledge query results, match and combine the components in the component library according to the usage rules of the knowledge visualization abstract components, and set the interaction relationship between the components, so as to realize the knowledge visualization oriented to the big screen of data visualization.
  • This disclosure can provide the traditional chart components in the data visualization large screen to quickly have the knowledge query and knowledge display capabilities required for knowledge visualization, solve the limitations of the current front-end visualization component technology in the field of knowledge graphs in realizing knowledge visualization, and improve the application. Scalability and development efficiency.
  • the system 10 includes: a component generation module 100 , a component communication design module 200 , a data processing module 300 and a result presentation module 400 .
  • the component generating module 100 is configured to divide different knowledge visualization functional components, and generate knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components.
  • the component communication design module 200 is configured to design, according to the knowledge visualization abstract component, sibling component communication based on knowledge visualization data, and generate a data flow channel for component library communication.
  • the data processing module 300 is configured to perform data format conversion on different knowledge visualization abstract components in the component library based on the data flow channel, and automatically adapt the current visualization chart to format knowledge query results.
  • the result display module 400 is used for matching and combining the components in the component library based on the formatted knowledge query results and according to the usage rules of the knowledge visualization abstract components, and setting the interaction relationship between the components, so as to realize the knowledge visualization oriented to the big screen of data visualization .
  • the device 10 also includes a writing module, which is used to write abstract components with knowledge visualization functions, and introduces and uses knowledge visualization abstract component tags inside each component to reuse knowledge visualization capabilities, including:
  • the réelle development framework applies the knowledge visualization abstract component inside the template tag of the component, and uses the knowledge visualization abstract component tag to wrap the html code of the component.
  • the component communication design module 200 includes: a knowledge query abstract component module and a knowledge presentation abstract component module.
  • the knowledge query abstract component module is used to: use the knowledge map stored in the graph database as a data source to initiate a knowledge query request, and distribute the knowledge query results to each knowledge display abstract component.
  • the knowledge display abstract component module is used to: continuously monitor the update of knowledge query results, and convert the knowledge query results into display data that can be used by chart components according to the specified data format.
  • the above-mentioned component communication design module 200 is further configured to process data through a hierarchical processing method, so as to optimize the automatic processing performance of the data processing module.
  • the component generation module is used to divide different knowledge visualization functional components, and generate knowledge visualization abstract components according to the characteristics of different knowledge visualization functional components; component communication design The module is used to design the brother component communication based on the knowledge visualization data according to the knowledge visualization abstract component, and generates the data flow channel for the component library communication; the data processing module is used to visualize the abstract components of different knowledge in the component library based on the data flow channel Perform data format conversion and automatically adapt the current visualization chart to format the knowledge query results; the result display module is used to format the knowledge query results and combine the components in the component library according to the usage rules of the knowledge visualization abstract components , and set the interaction relationship between components to realize the knowledge visualization oriented to the big screen of data visualization.
  • This disclosure can provide the traditional chart components in the data visualization large screen to quickly have the knowledge query and knowledge display capabilities required for knowledge visualization, solve the limitations of the current front-end visualization component technology in the field of knowledge graphs in realizing knowledge visualization, and improve the application. Scalability and development efficiency.
  • the present disclosure also proposes a non-transitory computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, it can realize any of the above-mentioned embodiments.
  • the present disclosure also proposes an electronic device, including: a memory; a processor; and a computer program stored in the memory and operable on the processor, wherein the processor executes
  • the computer program implements the knowledge visualization development method for data visualization large screen as described in any one of the above embodiments.
  • the present disclosure also proposes a computer program product, including a computer program, when the computer program is executed by a processor, the knowledge visualization oriented to the data visualization large screen as described in any of the above-mentioned embodiments is realized development method.
  • the present disclosure also proposes a computer program, including computer program code, when the computer program code is run on the computer, it causes the computer to execute the data visualization-oriented programming as described in any one of the above-mentioned embodiments.
  • Screen knowledge visualization development method when the computer program code is run on the computer, it causes the computer to execute the data visualization-oriented programming as described in any one of the above-mentioned embodiments.
  • first and second are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features.
  • the features defined as “first” and “second” may explicitly or implicitly include at least one of these features.
  • “plurality” means at least two, such as two, three, etc., unless otherwise specifically defined.

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Abstract

L'invention concerne un procédé et un système de développement de visualisation de connaissances pour un grand écran de visualisation de données. Le procédé comprend : la classification de différentes composantes fonctionnelles de visualisation de connaissances et la génération de composantes abstraites de visualisation de connaissances selon les caractéristiques de différentes composantes fonctionnelles de visualisation de connaissances ; la conception d'une communication de composantes sœurs sur la base de données de visualisation de connaissances et la génération d'un canal de flux de données pour une communication de bibliothèque de composantes ; la réalisation d'une conversion de format de données sur des composantes abstraites de visualisation de connaissances différentes dans la bibliothèque de composantes et l'adaptation automatique au diagramme de visualisation en cours, de manière à formater un résultat d'interrogation de connaissances ; et sur la base du résultat d'interrogation de connaissances formaté, la mise en concordance et la combinaison de composantes dans la bibliothèque de composantes selon une règle d'utilisation des composantes abstraites de visualisation de connaissances et l'établissement d'une relation d'interaction entre les composantes, de manière à obtenir une visualisation de connaissances pour un grand écran de visualisation de données.
PCT/CN2022/087217 2021-11-03 2022-04-15 Procédé et système de développement de visualisation de connaissances pour grand écran de visualisation de données WO2023077732A1 (fr)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117251154A (zh) * 2023-09-26 2023-12-19 北京泰策科技有限公司 一种基于数据可视化的可快速扩展的低代码大屏设计系统

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779143A (zh) * 2012-01-31 2012-11-14 中国科学院自动化研究所 知识谱系的可视化方法
CN104572096A (zh) * 2014-12-29 2015-04-29 中国科学院计算机网络信息中心 一种基于web的多模型数据可视化开发方法及平台
CN111339316A (zh) * 2020-02-27 2020-06-26 河海大学 一种知识图谱可视化编辑与持久化实现方法及系统架构
CN111562912A (zh) * 2020-04-08 2020-08-21 北京邮电大学 面向数据可视化的前端组件化开发方法及系统
EP3734575A1 (fr) * 2019-04-30 2020-11-04 Honeywell International Inc. Système et procédé de rendu de données dynamiques et de contrôle de la forme visuelle de données sur un affichage de poste de pilotage sans modification du logiciel certifié
CN114218394A (zh) * 2021-11-03 2022-03-22 北京邮电大学 一种面向数据可视化大屏的知识可视化开发方法及系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102779143A (zh) * 2012-01-31 2012-11-14 中国科学院自动化研究所 知识谱系的可视化方法
CN104572096A (zh) * 2014-12-29 2015-04-29 中国科学院计算机网络信息中心 一种基于web的多模型数据可视化开发方法及平台
EP3734575A1 (fr) * 2019-04-30 2020-11-04 Honeywell International Inc. Système et procédé de rendu de données dynamiques et de contrôle de la forme visuelle de données sur un affichage de poste de pilotage sans modification du logiciel certifié
CN111339316A (zh) * 2020-02-27 2020-06-26 河海大学 一种知识图谱可视化编辑与持久化实现方法及系统架构
CN111562912A (zh) * 2020-04-08 2020-08-21 北京邮电大学 面向数据可视化的前端组件化开发方法及系统
CN114218394A (zh) * 2021-11-03 2022-03-22 北京邮电大学 一种面向数据可视化大屏的知识可视化开发方法及系统

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117251154A (zh) * 2023-09-26 2023-12-19 北京泰策科技有限公司 一种基于数据可视化的可快速扩展的低代码大屏设计系统

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