Aiming at the difficulty of searching standards and specifications due
to the huge and fragmented data in the field of fire safety in China, an
intelligent retrieval method of building fire safety knowledge based on
knowledge graph is proposed. First, ontology is used to construct conceptual
schemas from top down, and knowledge is extracted using rule templates and
stored in the Neo4j graph database to complete the construction of knowledge
graph. Then, on the basis of the knowledge graph, BERT-BiLSTM-CRF model and
BERT classifier are used to process complex questions with multiple
constraints, so as to extract key entities in the question and identify
query intention. Finally, according to the key entities and query intention,
an algorithm is used to generate a Cypher query statement, which is used to
obtain the answer in Neo4j. The intelligent retrieval method based on
knowledge graph standardizes the building fire safety knowledge, solves the
problem of scattered distribution and greatly improves the efficiency of
knowledge retrieval.
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