Design and implementation of power question answering and visualization system based on knowledge graph

Abstract

The power question answering and visualization system based on knowledge graph can accurately understand the questions described by users in natural language, and can play a key role in accurate question answering services. It is a more advanced way of human-computer interaction and can truly realize the semantic level Knowledge retrieval on. The system mainly includes three important modules: knowledge graph construction, question answering and web service. First, build a knowledge graph in the power field to provide a knowledge base for the implementation of the question answering system; secondly, two technical solutions based on AIML framework and basic question and answer pairs are used to obtain answers from the knowledge graph; then, the knowledge graph visualization and knowledge are realized in the Web service module. Graph expansion and other functions. The power question answering and visualization system based on knowledge graph implemented in this paper can not only meet the basic needs of information retrieval in the power industry, but also improve the user experience, which has certain practical significance and research value.