刘鹏,叶帅,舒雅,鹿晓龙,刘明明. 煤矿安全知识图谱构建及智能查询方法研究[J]. 中文信息学报, 2020, 34(11): 49-59.
LIU Peng, YE Shuai, SHU Ya, LU Xiaolong, LIU Mingming. Coalmine Safety: Knowledge Graph Construction and Its QA Approach. , 2020, 34(11): 49-59.
Coalmine Safety: Knowledge Graph Construction and Its QA Approach
LIU Peng1, YE Shuai2, SHU Ya3, LU Xiaolong3, LIU Mingming4
1.National and Local Joint Engineering Laboratory of Internet Application Technology of Mines, Xuzhou, Jiangsu 221008, China; 2.NetPosa Technologies Co. Ltd., Wuhan, Hubei 430070, China; 3.School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China; 4.School of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, Jiangsu 221008, China
Abstract：Coal mining enterprises are developing beyond information construction into intelligence era, motivated by new network technologies like big data and artificial intelligence. In this paper, knowledge graph is introduced into the domain of coalmine safety. The domain knowledge concept is first classified, stored in the graph database, and visually presented for its concept relations. Then, to facilitate the query search over this knowledge graph, a question classification approach is implemented to identify the best query types for a specific question. The experiment results show that the proposed entity extraction method has higher scores on recall and precision, and the Spark-based parallel question classification algorithm significantly improves efficiency while ensuring the accuracy.
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