Research Hotspots and Trends of Knowledge Graph Question Answering System----Visual analysis based on CiteSpace

  • Yong Xu, Xizhi Lv, Hengna Wang, Xiaoyu Li, Yunke Peng

Abstract

Knowledge graph question answering is the combination of knowledge base technology and intelligent question answering system. It has gradually become a new research direction in the field of artificial intelligence and natural language processing. To explore the research status, development trend and research hotspots in the field of knowledge graph question answering at home and abroad, CiteSpace software was used to draw the visual map, and the time series distribution, core author distribution, main organization distribution and author cooperation network of 662 documents related to the research of knowledge graph question answering at home and abroad in recent ten years were described and compared, and the problems and challenges in domestic knowledge graph question answering research were summarized; based on co-occurrence and cluster analysis of key words, the research hotspots of knowledge graph question answering at home and abroad were summarized, and some suggestions for the next research work were put forward.

How to Cite
Yong Xu, Xizhi Lv, Hengna Wang, Xiaoyu Li, Yunke Peng. (1). Research Hotspots and Trends of Knowledge Graph Question Answering System----Visual analysis based on CiteSpace. Forest Chemicals Review, 967-988. Retrieved from http://www.forestchemicalsreview.com/index.php/JFCR/article/view/412
Section
Articles