Design and implementation of intelligent question answering system based on cognitive skill atlas
In order to solve the problem that electrical engineering students have cumbersome knowledge ac-quisition and difficulty in improving practical ability,this paper proposes and develops an intelligent question and answer system for power electronic switching power supply experiment based on cognitive skill graph,aiming to provide personalized guidance for students.Firstly,the Bayesian psychometric model was intro-duced to evaluate the achievement of students'abilities,and then the knowledge graph technology was used to construct a declarative knowledge graph and a user digital image,which were used to store the knowledge of specific fields of power supply and user ability information,respectively.The system uses HanLP to per-form word segmentation and part-of-speech annotation of students'input questions,and uses a naive Bayes classifier to classify the questions,which are matched with the corresponding question templates.According to the template and keywords,the system generates the corresponding Cypher query statement,and sear-ches for eligible answers in the knowledge graph based on the student's ability information.Experimental re-sults show that the system can effectively identify the ability defects of electrical students,provide personal-ized Q&A services,and achieve more efficient and accurate intelligent assistance.
Bayesian psychometric modelcognitive skills atlasknowledge graphquestion answering system