Sheng Huang, Chuanle Liu*
Journal on Artificial Intelligence, Vol.3, No.4, pp. 153-162, 2021, DOI:10.32604/jai.2021.025175
Abstract Knowledge graph technology play a more and more important role in
various fields of industry and academia. This paper firstly introduces the general
framework of the knowledge graph construction, which includes three stages:
information extraction, knowledge fusion and knowledge processing. In order to
improve the efficiency of quality and safety supervision of transportation
engineering construction, this paper constructs a knowledge graph by acquiring
multi-sources heterogeneous data from supervision of transportation engineering
quality and safety. It employs a bottom-up construction strategy and some natural
language processing methods to solve the problems of the knowledge extraction for
transportation engineering construction. We use… More >
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