An Intelligent Search System Based on Knowledge Graph

This paper studies the intelligent search method based on knowledge graph, constructing knowledge graph; rationally designing word segmentation; inputting retrieval keywords; keyword processing; outputting search results; using NLP semantic understanding; using ES for search, this article is building a retrieval data model At the same time, the established data model can be divided into modularized processing according to the content of the data, the type of the data and the characteristics of the data, and the divided data model can be composed of multiple modular sets, and in the data model The sub-collections are established in each corresponding collection after the internal division, so that the internal data structure of the data model can be established in the form of a collection frame; at the same time, the collection is used to form a data model, which is convenient for the frame data structure formed inside the data model. Classification can greatly improve the actual search speed of this search method, and it is convenient to deal with huge data information.