Study Of Ontology-based Intelligent Question Answering Model For Online Education

Given the problems of current question answering system including tardy response, difficult sharing of resources,lack of intelligence,etc,and this paper puts forward an ontology-based intelligent question answering solution.Founded on analysis of the current situation and the development of the native and foreign answering system,this research comprehensively uses the ontology and semantic web technologies,puts forwards an online education intelligent answering system which is based on the ontology theory with the hope that it can realize the semantic query function,increase the intelligence of the answering system and improve the online learning support service level.The specific content of this study are as follows:Firstly,based on experiences in practice,the author analyzes the problems of current answer system of online education,and demonstrates the possibility and feasibility of applying ontology to the question answer system.Secondly,the author designs an Ontology-based Online Education Intelligent Question Answering Model,constructs a knowledge-based system which is in the core of ontology and supported by semantics educational resources,and puts forth the specific algorithms which can turn the natural language to the SPARQL semantic query language.At last,according to the idea of this design,the author realized a protosystem to test the performance of the mode.Experiments prove that this system can basically realize the Semantic Query function,and work satisfactorily in the accuracy of the question answer mission.