Knowledge Graph Construction and Intelligent Question Answering on Science and Technology Intermediary Service

With the rapid development of the Internet, while it facilitates users to obtain information, it also increases information overload. Although a lot of data have been divided into categories, it is still a big challenge to retrieve effective information from thousands of categories and their subcategories. For professional business, we need more efficient information organization and interactive interface to reduce the complexity of information retrieval. This paper designs an intelligent question-and-answer system for science and technology intermediary services based on knowledge graphs, which uses knowledge graphs to store domain data, combines intelligent question-and-answer technology and website design technology to realize efficient information query. On the basis of building the knowledge graph database of professional domain, the problem of information efficient search is effectively solved by combining natural language processing with relational graph.