Research on the Development Process and Construction of Domain-specific Knowledge Graph

Knowledge graph is the core content of artificial intelligence research in the new era. With the rapid development of artificial intelligence in science and various fields of technology and society, it has attracted the attention of academia and industry. Various fields are actively constructing the Domain-specific Knowledge Graph (DKG). The construction of Domain-specific Knowledge Graph has great application value in intelligent search, intelligent question and answer, intelligent recommendation and other information services. This paper taking the artificial intelligence system development as background, systematically elaborated the origin and composition of Domain-specific Knowledge Graph, finding out that the Domain-specific Knowledge Graph has characteristics of extending the depth and detailing granularity of the knowledge representation of Domain-specific Knowledge Graph. And the development process of Domain-specific Knowledge Graph technology: developing from the symbol and the reasoning model to knowledge engineering, then to an important approach to knowledge representation of big data. The key steps and methods of Domain-specific Knowledge Graph construction are described, including entity recognition and attribute information recognition, and extraction of relationships between entities. The entity recognition technology and relation extraction technology are systematically described to provide some useful references for the construction of Domain-specific Knowledge Graph.