CONSTRUCTION OF KNOWLEDGE GRAPH FOR ELECTRICAL LIGHTING CODE

In view of the complexity of regulations in electrical lighting design, the difficulty for designers to query and the deviation of understanding of the same regulations, this paper proposes to use information extraction technology to establish the knowledge graph in this field, and integrate the expert experience into it. In the preprocessing stage, the two parameters of mutual information and boundary entropy were introduced to improve word segmentation, avoiding the segmentation of professional nouns. The method of combining semantic role labeling and dependency parsing was used to extract data triples, to make up the defects that simple method of semantic role labeling could not extract multiple objects. The graph database Neo4j was used for storage to complete the construction of the domain knowledge graph.