Technical atlas query and visual analysis tool

Abstract

The invention discloses a technical atlas query and visual analysis tool, and relates to the field of analysis systems, the technical atlas query and visual analysis tool comprises an analysis center, a technical atlas processing system and a visual analysis system, a technical atlas query behavior is performed after a client accesses the technical atlas processing system, and the visual analysis system accesses the analysis center. The technical map processing system is used for processing a query result and a query process and further performing visual analysis through the visual analysis system; the analysis center is used for performing visual display on data of the technical map processing system and the visual analysis system; through cooperative work of a data preparation module, a visual design module, a visual implementation module and a user docking module, a technical graph query and retrieval result is further processed, visual analysis after knowledge graph query can be realized, meanwhile, the visual analysis can help a user better understand and explore the structure and the relationship of the knowledge graph, and the user experience is improved. And the accuracy and display efficiency of knowledge representation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of analysis systems, and specifically is a technology graph query and visualization analysis tool. Background Art

[0002] Technology graph query refers to the process of using knowledge graph technology to query and analyze technical entities and relationships in a specific field. Through technology graph query, users can quickly obtain information on the overall knowledge structure, technology development history, technology correlation, etc. of a certain technical field, so as to better understand the technical status and development trends in this field. Technology graph query usually includes keyword-based query, pattern-based query and semantic-based query. The query results can be displayed in a visual way, which is convenient for users to conduct in-depth analysis and mining. However, the results of technology graph query and its retrieval display have not been further analyzed, and there is still a certain degree of difficulty in subsequent mining. The data cannot meet the user's visualization requirements. Therefore, we propose a technology graph query and visualization analysis tool. Summary of the invention

[0003] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a technology graph query and visualization analysis tool, which effectively solves the problem that the current technology graph query usually includes several methods such as keyword-based query, pattern-based query and semantic-based query. The query results can be displayed in a visual manner, which is convenient for users to conduct in-depth analysis and mining. However, the results of the technology graph query and the retrieval and display thereof are not further analyzed, which still has certain difficulties in subsequent mining, and the data cannot meet the user's visualization requirements.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a technology map query and visualization analysis tool, including an analysis center, a technology map processing system and a visualization analysis system, wherein a technology map query behavior is performed after a client accesses the technology map processing system, the technology map processing system processes the query results and the query process and then further performs visualization analysis through the visualization analysis system, and the analysis center visualizes the data of the technology map processing system and the visualization analysis system, wherein the visualization analysis system includes a data preparation module, a visualization design module, a visualization implementation module and a user docking module; The data preparation module further processes the results of the technology graph processing system and the query process; The visualization design module determines the display content according to the processed results, designs the visualization layout, color, animation effect, etc., to ensure the accuracy and readability of information transmission; The visualization implementation module uses the selected visualization tool to display the pre-processed data according to the designed scheme; The user connection module provides the user with interactive functions of the visualization content, collects user feedback, and continuously optimizes the visualization solution.

[0005] Furthermore, the technology graph processing system is a data processing module, which includes a data preprocessing unit, a relationship extraction unit, a template matching unit, a secondary retrieval unit and a result generation unit.

[0006] Furthermore, the data preprocessing unit cleans, removes duplications, segments words, and tags parts of speech in the graph query process; the relationship extraction unit extracts the relationship between entities from the preprocessed data; the template matching unit attempts to match a preset question template based on the question input by the user; and the secondary retrieval unit performs a secondary retrieval after the template matching unit fails to match.

[0007] Furthermore, the result generation unit system will merge the results of knowledge graph query and retrieval, and the generated results will be directly transmitted to the visualization analysis system for further visualization analysis and processing after aggregation.

[0008] Furthermore, the data preparation module includes an extraction unit, a cleaning processing unit, an integration unit and a conversion mapping unit. The extraction unit accurately extracts the data to be displayed from the knowledge graph. The cleaning processing unit performs operations such as cleaning, deduplication and conversion on the extracted data to meet visualization requirements and ensure the accuracy and completeness of the data. The integration unit integrates data from different sources into a unified format to provide support for subsequent visualization. The conversion mapping unit converts the data from its original form into a form suitable for visualization.

[0009] Furthermore, the visualization design module includes a scheme design unit and a first optimization unit. The scheme design unit designs a suitable visualization layout, chart type, and color according to display requirements and data characteristics. The first optimization unit ensures that information is accurately transmitted while the visualization content presents a clear analysis line.

[0010] Furthermore, the visualization implementation module includes a solution implementation unit and a second optimization unit. The solution implementation unit uses visualization tools to implement visualization content according to the design solution, and the second optimization unit updates and displays dynamic data to achieve dynamic update and real-time display of data.

[0011] Furthermore, the user docking module includes an interaction unit and a feedback unit. The interaction unit provides user interaction functions, such as filtering, zooming, dynamic updating, etc., so that users can operate and view conveniently. The feedback unit understands the advantages and disadvantages of the visualization effect through user feedback and evaluation, and provides a basis for subsequent optimization.

[0012] Technical effects and advantages of the present invention: Through the collaborative work of the data preparation module, visualization design module, visualization implementation module and user docking module, the results of the technical graph query and retrieval can be further processed to achieve visualization analysis after the knowledge graph query, thereby helping users to better understand the data in the knowledge graph, discover the patterns and trends in the data, and provide further support for decision-making. At the same time, visualization analysis can also help users better understand and explore the structure and relationships of the knowledge graph, and improve the accuracy of knowledge representation and display efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Schematic diagram of the system architecture of the present invention. DETAILED DESCRIPTION

[0014] The present invention provides Figure 1 The technology map query and visualization analysis tool shown includes an analysis center, a technology map processing system and a visualization analysis system. The technology map query behavior is performed after the client accesses the technology map processing system. The technology map processing system processes the query results and the query process and then further performs visualization analysis through the visualization analysis system. The analysis center visualizes the data of the technology map processing system and the visualization analysis system. The visualization analysis system includes a data preparation module, a visualization design module, a visualization implementation module and a user docking module. The data preparation module further processes the results of the technology graph processing system and the query process, mainly extracting the data that needs to be displayed from the knowledge graph, including the relationship between entities, the attributes of entities, the occurrence of events, etc. The visualization design module determines the display content based on the processed results, designs the visualization layout, color, animation effects, etc., to ensure the accuracy and readability of information transmission; The visualization implementation module uses the selected visualization tools to display the preprocessed data according to the designed scheme. This process may require dynamic generation of charts, interactive effects, etc. The user docking module provides the user with interactive functions for visualization content, collects user feedback, and continuously optimizes the visualization solution.

[0015] At the same time, the technology graph processing system is a data processing module, which includes a data preprocessing unit, a relationship extraction unit, a template matching unit, a secondary retrieval unit and a result generation unit.

[0016] In addition, the data preprocessing unit cleans, removes duplicates, segments words, and tags parts of speech in the graph query process, and the relationship extraction unit extracts the relationship between entities from the preprocessed data. These relationships can be reflected in the knowledge graph to form connections between entities. The template matching unit tries to match the preset question template based on the question entered by the user. The query engine will try to match the preset question template based on the question entered by the user. If a matching template is found, the engine will instantiate it based on the template and entity relationship and generate the corresponding graph database query language. The secondary retrieval unit performs a secondary search based on the failure of the template matching unit. If the question template fails to match, this unit enters the retrieval-based question-answering module and searches the knowledge graph based on the user's question to find possible answers. Among the above, data cleaning: This step mainly involves deleting irrelevant data, processing missing values, outliers, etc.; Deduplication: remove duplicate information to ensure the uniqueness of the data set; Word segmentation: dividing text into independent words or phrases, which is a basic step in natural language processing; Part-of-speech tagging: Tagging each word with its part-of-speech, such as noun, verb, adjective, etc., helps with subsequent relationship extraction.

[0017] In addition, the result generation unit system will integrate the results of knowledge graph query and retrieval, and the generated results will be directly transmitted to the visualization analysis system for further visualization analysis and processing after aggregation.

[0018] In addition, the data preparation module includes an extraction unit, a cleaning processing unit, an integration unit and a transformation mapping unit. The extraction unit accurately extracts the data to be displayed from the knowledge graph, including entities, relationships, attributes, etc. The cleaning processing unit cleans, deduplicates, converts and other operations on the extracted data to meet visualization requirements and ensure the accuracy and completeness of the data. The integration unit integrates data from different sources into a unified format to provide support for subsequent visualization. The transformation mapping unit converts data from its original form into a form suitable for visualization, such as converting numerical data into levels or colors.

[0019] It should be noted that the visualization design module includes the scheme design unit and the first optimization unit. The scheme design unit designs appropriate visualization layout, chart type, and color according to display requirements and data characteristics. The first optimization unit ensures that information is accurately transmitted while the visualization content presents a clear analysis line to help users better understand and analyze data, improve the readability and aesthetics of the visualization effect, and attract users' attention.

[0020] It is further explained that the visualization implementation module includes a solution implementation unit and a second optimization unit. The solution implementation unit uses visualization tools such as D3.js, Tableau, ECharts, etc. to implement visualization content according to the design plan. The second optimization unit updates and displays dynamic data to achieve dynamic update and real-time display of data, ensuring the accuracy and real-time nature of the data.

[0021] It should be added that the user docking module includes an interaction unit and a feedback unit. The interaction unit provides user interaction functions, such as filtering, zooming, dynamic updating, etc., so that users can operate and view conveniently. The feedback unit understands the advantages and disadvantages of the visualization effect through user feedback and evaluation, and provides a basis for subsequent optimization.

[0022] The specific query and analysis steps of the present invention are as follows: the technical graph processing system transmits the query results and processing to the visualization analysis system, and selects a suitable visualization tool. According to the data characteristics and display requirements, a suitable visualization tool is selected, such as D3.js, Tableau, ECharts, etc. Similar to the previous data preprocessing, this step is mainly to prepare the data for visualization, and it may be necessary to clean, deduplicate, integrate, convert and map the data for better display. According to the characteristics of the knowledge graph and user needs, the visualization design module and the visualization implementation module determine the content to be displayed, such as entity relationships, network structures, attribute distributions, etc. According to the determined display content, the visualization layout, color, animation effects, etc. are designed to ensure the accuracy and readability of information transmission. The selected visualization tool is used to display the preprocessed data according to the designed plan. In this process, it may be necessary to dynamically generate charts, interactive effects, etc., to provide users with interactive functions with the visualization content, such as filtering, zooming, dynamic updating, etc. At the same time, the feedback unit collects user feedback and continuously optimizes the visualization plan.

[0023] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0024] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Technology graph query and visualization analysis tool, featuring: It includes an analysis center, a technology map processing system and a visual analysis system. After the client accesses the technology map processing system, the technology map query behavior is performed. The technology map processing system processes the query results and the query process and then further performs visual analysis through the visual analysis system. The analysis center visualizes the data of the technology map processing system and the visual analysis system. The visual analysis system includes a data preparation module, a visual design module, a visual implementation module and a user docking module. The data preparation module further processes the results of the technology graph processing system and the query process; The visualization design module determines the display content according to the processed results, designs the visualization layout, color, animation effect, etc., to ensure the accuracy and readability of information transmission; The visualization implementation module uses the selected visualization tool to display the pre-processed data according to the designed scheme; The user connection module provides the user with interactive functions of the visualization content, collects user feedback, and continuously optimizes the visualization solution.

2. The technology graph query and visualization analysis tool according to claim 1, characterized in that: The technology graph processing system is a data processing module, which includes a data preprocessing unit, a relationship extraction unit, a template matching unit, a secondary retrieval unit and a result generation unit.

3. The technology graph query and visualization analysis tool according to claim 2, characterized in that: The data preprocessing unit cleans, removes duplications, segments words, and tags parts of speech in the graph query process. The relationship extraction unit extracts the relationship between entities from the preprocessed data. The template matching unit attempts to match a preset question template based on the question input by the user. The secondary retrieval unit performs a secondary retrieval after the template matching unit fails to match.

4. The technology graph query and visualization analysis tool according to claim 3, characterized in that: The result generation unit system will merge the results of knowledge graph query and retrieval, and the generated results will be directly transmitted to the visualization analysis system for further visualization analysis and processing after aggregation.

5. The technology graph query and visualization analysis tool according to claim 1, characterized in that: The data preparation module includes an extraction unit, a cleaning processing unit, an integration unit and a conversion mapping unit. The extraction unit accurately extracts the data to be displayed from the knowledge graph. The cleaning processing unit performs operations such as cleaning, deduplication and conversion on the extracted data to meet the visualization requirements and ensure the accuracy and completeness of the data. The integration unit integrates data from different sources into a unified format to provide support for subsequent visualization. The conversion mapping unit converts the data from its original form into a form suitable for visualization.

6. The technology graph query and visualization analysis tool according to claim 1, characterized in that: The visualization design module includes a scheme design unit and a first optimization unit. The scheme design unit designs a suitable visualization layout, chart type, and color according to display requirements and data characteristics. The first optimization unit ensures that information is accurately transmitted while the visualization content presents a clear analysis line.

7. The technology graph query and visualization analysis tool according to claim 1, characterized in that: The visualization implementation module includes a solution implementation unit and a second optimization unit. The solution implementation unit uses visualization tools to implement visualization content according to the design solution. The second optimization unit updates and displays dynamic data to achieve dynamic update and real-time display of data.

8. The technology graph query and visualization analysis tool according to claim 1, characterized in that: The user docking module includes an interaction unit and a feedback unit. The interaction unit provides user interaction functions, such as filtering, zooming, dynamic updating, etc., so that users can operate and view conveniently. The feedback unit understands the advantages and disadvantages of the visualization effect through user feedback and evaluation, and provides a basis for subsequent optimization.

Images