A Vertical Semantic Search Engine In Electric Power Metering Domain

With the explosive growth of data on the Internet, the mining of vertical knowledge domain material has become more complex. In order to efficiently collect, manage and exploit the huge knowledge corpus, this paper proposes a vertical semantic search engine for the domain of electric power metering. On the one hand the engine overcomes the shortcomings of traditional general-purpose search engines in terms of lack of targeting and specialization, and on the other hand it has higher accuracy and more stable recall than general keyword-based search engines, enabling semantic understanding and relational analysis. The main innovation of the proposed engine is the use of knowledge units extracted from knowledge graphs for semantic search. Experimental results prove that this engine can improve the accuracy and timeliness of power metering knowledge retrieval, and has certain application value.