Construction and Implementation of Coal Mine Safety Knowledge Graph Based on Historical Accidents

Minmin Li; Yanyu Diao; Xin Wang

doi:10.54097/ype8rn79

Authors

Minmin Li
Yanyu Diao
Xin Wang

DOI:

https://doi.org/10.54097/ype8rn79

Keywords:

Coal Mine Accident, Entity Recognition, Relation Extraction

Abstract

With the rapid development of intelligent coal mine, the field of coal mine also ushered in a large number of heterogeneous data information. Aiming at the data information existing in the field of coal mine, a coal mine safety knowledge atlas centered on coal mine accident cases is constructed. The construction of knowledge graph mainly uses crawler technology to obtain text data of coal mine, Albert-BilSTM-CRF model to realize entity recognition, Albert-BilSTM-ATT to complete relation extraction, and obtain triplet form in the field of coal mine safety. Finally, the obtained triplet form is imported into Neo4J graph database. Form a structured knowledge graph.

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