Research on the Construction of a Knowledge Graph Information Search Engine in the web Domain

The article proposes a construction approach for a knowledge graph data search engine in the field of power grids. A detailed analysis is conducted on the construction, design, and operational implementation of the knowledge graph. A search engine system based on fuzzy algorithms and a search engine system integrating domain feature knowledge graphs are designed, which can recognize entities/assertions based on the Text Rank model, accurately search for external knowledge based on semantic methods, and set a global KG update strategy. The algorithm can achieve high entity/assertion recognition accuracy, automatically map domain knowledge to local KG, quickly update the service knowledge base online, and achieve high accuracy answers with low response delay. According to the testing results of the information and communication branch of the power company. The accuracy and recall of the keyword search algorithm in this method are 6.62%, 7.96%, and 2.24% higher, respectively. It can effectively overcome the ambiguity of power grid problem expression and accurately search for power grid knowledge.