Hangjun Zhou1, Tingting Shen1, *, Xinglian Liu1, Yurong Zhang1, Peng Guo1, 2, Jianjun Zhang3
Journal on Artificial Intelligence, Vol.2, No.2, pp. 89-101, 2020, DOI:10.32604/jai.2020.09968
- 15 July 2020
Abstract With the advent of the era of big data, knowledge engineering has received
extensive attention. How to extract useful knowledge from massive data is the key to big
data analysis. Knowledge graph technology is an important part of artificial intelligence,
which provides a method to extract structured knowledge from massive texts and images,
and has broad application prospects. The knowledge base with semantic processing
capability and open interconnection ability can be used to generate application value in
intelligent information services such as intelligent search, intelligent question answering
and personalized recommendation. Although knowledge graph has been More >
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