Knowledge graph-based scientific semantic comprehension method

Abstract

The invention relates to the technical field of knowledge bases, in particular to a knowledge graph-based scientific semantic comprehension method, which comprises a distributed knowledge graph module, a distributed semantic analysis module and an information display module. The distributed knowledge graph module is used for carrying out feature extraction on different graphs and establishing a unique feature extraction database of the graphs; the distributed semantic analysis module is in coupling connection with the distributed mapping knowledge domain module and is used for acquiring related characteristic data of the knowledge graph from the distributed knowledge graph module, intelligently analyze and match the obtained feature data, establishing corresponding semantics matched with the unique atlas, matching and storing the unique semantic data corresponding to the different atlas, and forming a matching database corresponding to the atlas and the semantics. Data calling and atlas semantic recognition display are facilitated. According to the method, the correlation and understanding conversion relation between the atlas and semantics is solved, and the method has good practical value and popularization significance.

Description

technical field [0001] The invention relates to the technical field of knowledge bases, in particular to a scientific semantic understanding method based on knowledge graphs. Background technique [0002] With the development of computer science and technology, people's acquisition and understanding of knowledge has gradually transitioned from traditional paper books to current electronic knowledge reading and acquisition. In e-reading and knowledge acquisition, not all the Endor maps we see are information with text introduction or explanation. In order to quickly obtain the semantic information expressed by the map, the concept of knowledge map has been introduced in Internet technology in recent years. Through the input of knowledge graphs, obtaining correctly matched semantic understanding information and further in-depth understanding of knowledge graphs is a new model for the development of Internet reading in the future. [0003] The concept of knowledge graph was fi...

AI Technical Summary

Problems solved by technology

However, the current technical solution for semantic understanding based on knowledge graphs is still in the stage of research and development and improvement. In various research institutions and research institutions, there is no easy system development to realize the link between entity graphic features and corresponding text and voice information. Links make it relatively difficult to understand the semantics of knowledge graphs, and it is difficult to meet the needs of users for semantic understanding of graphs