Visual knowledge graph data modeling method and system

A knowledge graph and data modeling technology, which is applied in the fields of unstructured text data retrieval, text database browsing/visualization, text database indexing, etc. Low-level problems, to achieve the effect of efficient and orderly display of knowledge and ordinary data construction

Pending Publication Date: 2021-05-14
厦门渊亭信息科技有限公司
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The knowledge map is a major technical driving force of artificial intelligence. It can be widely applied to different tasks. Compared with deep learning, the knowledge in the knowledge map can be precipitated and is extremely interpretable; in the existing technology, the construction of knowledge map data At the same time, the existing technology cannot intuitively observe the entities and relationships in the knowledge graph data when constructing knowledge graph data, making it difficult to find errors in the process of constructing common knowledge data, resulting in low accuracy of knowledge graph data construction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Visual knowledge graph data modeling method and system
  • Visual knowledge graph data modeling method and system
  • Visual knowledge graph data modeling method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The present disclosure will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific implementation manners described here are only used to explain relevant content, rather than to limit the present disclosure. It should also be noted that, for ease of description, only parts related to the present disclosure are shown in the drawings.

[0046] It should be noted that, in the case of no conflict, the implementation modes and the features in the implementation modes in the present disclosure can be combined with each other. The present disclosure will be described in detail below with reference to the drawings and embodiments.

[0047] The English abbreviations appearing in the embodiments of this application are explained:

[0048] Owl: the full name is Web Ontology Language, the network ontology language;

[0049] XML: Extensible Markup Language, a subset of Quasi-Universal Markup Language;

[0050]...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a visual knowledge graph data modeling method and system. The method comprises the following steps: constructing model data, wherein the model data comprises entity data and relational data; projecting the entity data to a discriminant vector space using linear discriminant analysis to obtain projection data; and associating the projection data according to the relational data, and constructing and displaying a triple model of the knowledge graph according to the associated projection data. By implementing the technical scheme of the invention, the model construction efficiency can be improved.

Description

technical field [0001] The present application relates to the technical field of knowledge map modeling, and in particular to a method and system for visual knowledge map data modeling. Background technique [0002] As artificial intelligence is rapidly changing people's lives in recent years, various technology companies have launched artificial intelligence products or systems, such as the Alpha Go launched by Google in 2016 to defeat the human Go champion. Another example is the intelligent assistant Siri launched by Apple, which allows every Apple mobile phone user to complete various tasks very conveniently. The advent of these artificial intelligence products relies on the rapid advancement of technology in various fields, including machine learning, computer vision, speech recognition, natural language, etc. Artificial intelligence relies on deep learning and knowledge graphs. [0003] The knowledge map is a major technical driving force of artificial intelligence. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/34G06F16/31
CPCG06F16/367G06F16/34G06F16/31
Inventor 洪万福钱智毅谢青云
Owner 厦门渊亭信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap