College professional intelligent question-answering system and method based on knowledge graph

Abstract

The invention relates to a knowledge graph-based college professional question and answer system. The system comprises a knowledge graph construction module, a question classification module, a database query module and a result feedback module. The college specialty question and answer method based on the knowledge graph comprises the following steps: S1, collecting information of each college specialty, and constructing a college specialty knowledge graph; s2, obtaining and analyzing a user query text, identifying keywords and judging question types; s3, selecting a structured template corresponding to the question type, generating a structured statement in combination with the keyword, and querying to obtain a related result; and S4, integrating retrieval results, generating a reply statement, and feeding back the reply statement to the user. The method mainly aims at the problems of fragmentation, low efficiency and the like of examinee professional information query in the college entrance examination application process, university professional information is integrated, and the accuracy of retrieving university professional knowledge answers is effectively improved.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and machine learning, and more specifically relates to a professional intelligent question answering system and method for colleges and universities based on knowledge graphs. Background technique [0002] With the improvement of education level, the number of college entrance examinations has repeatedly hit new highs, and people are using the Internet more and more, and college professional big data has gradually entered people's daily life. How to analyze the huge and complex data, and obtain the information that is beneficial for candidates to apply for the major, is the key to the practical application of professional big data in colleges and universities. The professional question answering system in colleges and universities is designed to answer the individualized questions of each examinee and help examinees obtain the information they need. The knowledge graph stores and processes ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an intelligent question answering system and method for colleges and universities that combines knowledge map technology and naive Bayesian classification algorithm in order to overcome the defects in the above-mentioned prior art. The established artificial intelligence question answering system helps Users can conduct intelligent questions and answers between majors and 11 attributes related to majors, which provides a new way for the college entrance examination, meets the needs of candidates for personalized questions, and improves the user experience

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