Research on Knowledge Extraction Technology for Knowledge Graph Construction
Zhe Wang, Fucheng Wan · 2022
As an efficient and intelligent means of knowledge organization, knowledge graph has developed rapidly in recent years because it can help users to obtain the information they care about quickly and accurately. Knowledge extraction is a key link in the process of knowledge graph construction, which directly affects the construction quality and subsequent application effect of knowledge graph, and is also one of the criteria for evaluating the merits of knowledge graph. Knowledge extraction has become an important research branch in the field of natural language processing. This paper systematically introduces the knowledge extraction technology for knowledge graph construction, analyzes the key technologies of knowledge extraction in each domain for different data types, and summarizes them at last.