Construction of knowledge graph of coal mine roadway support field
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摘要: 针对煤矿巷道支护专家系统知识内容有限、知识难以融合共享、无法从非结构化数据中挖掘相关知识等问题,构建了煤矿巷道支护领域知识图谱。首先通过设计领域概念、关系及属性对煤矿巷道支护领域知识建模;然后从煤矿巷道支护领域结构化、半结构化、非结构化数据源获取知识,并基于深度学习模型BI-LSTM-CRF进行实体识别;最后利用图数据库Neo4j存储煤矿巷道支护领域知识,形成煤矿巷道支护领域知识图谱。煤矿巷道支护领域知识图谱可进一步提升煤矿巷道支护设计和管理效率,为煤矿巷道支护智能化管理提供知识支持。
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关键词:
- TD79 /
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Abstract: In view of problems of limited knowledge content, difficult knowledge fusion and sharing, and inability to mining related knowledge from unstructured data existed in coal mine roadway support expert system, a knowledge graph of coal mine roadway support field was constructed. Firstly, knowledge of coal mine roadway support field is modeled by designing field concept, relationship and attribute. Then, knowledge is acquired from structured, semi-structured and unstructured data sources of coal mine roadway support field, and entity recognition is carried out based on deep learning model BI-LSTM-CRF. Finally, knowledge graph of coal mine roadway support field is formed by using graph database Neo4j to store knowledge of coal mine roadway support field. The knowledge graph of coal mine roadway support field can further improve efficiency of roadway support design and management, and provide knowledge support for intelligent management of coal mine roadway support.-
Key words:
- roadway support /
- knowledge graph /
- support expert system /
- semantics /
- knowledge base
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