基于Ontology的多Agent智能答疑系统模型研究

针对目前智能答疑系统在知识共享、知识重用以及问题求解查全率和查准率方面的不足,提出了基于Ontology的多Agent智能答疑系统模型。该模型首先需要建立基于Ontology的问题解答知识库,然后对用户输入的问题进行关键词拆分、本体交互和语义扩展等,并在问题解答库中进行查询,得到合适的问题答案。与同类答疑系统比较,在知识共享、知识重用以及问题答案的精确定位与表达有了较为明显的改进。

Research on Multi-Agent Intelligent Question Answering Model Based on Ontology

Aiming at solving the problems of knowledge share,reuse and problem solving recall rate and the rate of check-in in intelligent question answering system.A model of Multi-Agent intelligent question answering system was put forward based on ontolog.In this model,first a question answering knowledge base was built based on ontology,and then the question of user was segmented,Ontology Interactive and Semantic expansion.Consequently,knowledge base search was realized to receive the Appropriate answer.Comparing with similar Answering System,the effect of share,reuse of knowledge and exact locating and expression was of a more marked improvement.