Research And Design Of Intelligent Question Answering System For Dairy Products Hazard Information Based On Ontology

With the rapid development of Internet and the network resources is unceasingly rich, Distance education has been accepted by people. And Answering System is an important part of the Distance Education. In recent years, ontology has been widespread concern in the computer industry. Intelligent question answering system using the ontology knowledge base can well express the intrinsic relationship between knowledge of,and it can make that knowledge organization is more reasonable reduce the redundancy of information.Currently intelligent question answering system that we studied mostly for one course. And there have no intelligent question answering system is used to help students to solve problems that encountered in the life. However, We may encounter many problems in life, but now we only study Dairy products field’s problems.There were two key modules in the IQAS design model. First is the analysis and processing of natural language questions. Second is the calculation of similarity between the statements. The analysis and processing of natural language questions contains Chinese Word Segmentation and POS tagging. And from the two aspects (key words and asked point) classify the questions. We match the questions with standard library by improved statements similarity algorithm.The research of the paper showed that, System can be more accurate to understand the problems of students.And improved statements similarity algorithm has significantly improved the precision and recall rate.