Ontology modeling and case database construction of subway emergency plan knowledge
Li Hongliang, Zhang Zhenhai · IOP Conference Series Earth and Environmental Science · 2020
Abstract In order to improve the effectiveness and timeliness of the subway emergency plan knowledge, it is necessary to standardize and semantically express the emergency plan knowledge and promote the emergency response work to play a more efficient and timely role. Firstly, an ontology-based emergency planning knowledge modeling is proposed, and a unified and standardized metrology database for the emergency planning ontology is constructed. Secondly, drawing on the case reasoning method MyCBR, combined with the established subway operation accident case knowledge base, a case retrieval method based on semantic similarity is proposed to achieve efficient retrieval of subway emergency accident cases. Finally, Protégé software and MyCBR are used to realize the emergency reasoning knowledge reasoning and case retrieval function, which significantly improves the application efficiency of emergency response knowledge.