Research of Knowledge Graph Technology and its Applications in Agricultural Information Consultation Field

Abstract

As a hot research field of big data intelligence, knowledge graph is widely concerned and discussed in recent years. This thesis elaborated the definition and architecture of knowledge graph, the development drive and its importance, analyzed the seven technologies in the knowledge graph: knowledge acquisition, knowledge representation, knowledge storage, knowledge fusion, knowledge modeling, knowledge computation and knowledge operation and maintenance, and introduced and prospected the application of knowledge graph in the agricultural information consultation and the challenges faced in its future development.