An Intelligent Search Engine Based on Knowledge Graph for Power Equipment Management

The intelligent search engine (ISE) can accurately identify users’ search intention and interests automatically by parsing the natural language questions, can provide fast retrieval and relevance ranking of direct and associate search results, and can filter and push information to the user intelligently. Since ISE can save inestimable time and workforce in data search and correlation analysis, it has been widely used in the Internet field. This article proposed an ISE based on a constructed electrical power knowledge graph to extract the target and conditions of natural interrogation based on semantic analysis, to generate index network via vertex-to-edge mapping and ontology network path analysis, and to perform the direct and associate knowledge searches to provide users with an intuitive visualization. This method thoroughly combined knowledge graph and graph computing characteristics, realized high-speed multi-hop data mining and correlation analysis in a domain knowledge graph. The proposed work can also provide a basis for automatic identification of user interests, intelligent information filtering and push.