Research And Implementation About Personalized On-line Question Answering System

With the development of the computer network technology and multi-media technology, distance education has been paid more and more attention to. As an important component of distance education system, question answering system exerts direct influence on the quality of distance education, thus being attached more and more importance to by teachers and developers of distance education system.Based on the comprehensive narration of the internal and external current research situations, this dissertation pointed to the major limitations of present question answering system in China: 1. the intelligence subjected to the natural language understanding is rather limited, for the artificial intelligence cannot make the total understanding of natural language come true.; 2. It does not make use of the semantic relations of concepts to guide the users to ask further questions; 3. It cannot positively show learners the knowledge they feel puzzled at and interested in because of lacking the analysis of the symptoms of learners' confusion; 4. It does not supply abundant reference resources to the question database with the advantage of internet.Aiming at the remedy for the above limitations of present question answering system in China, this dissertation develops an on-line question answering system based on natural language understanding, which provides personalized service. The major tasks of this research include: 1. the analysis of current situations of the internal and external answer systems, and of the technologies related to the present personalized service and natural language understanding; 2. collection of questions through the focused crawler with the purpose of continuously enriching the question database; 3. developing an question answering system with "personalized service, positive sending of information to learners and basis on natural language understanding, which has been applied into the national excellent course "Modern Education Technology" developed by Zhejiang Normal University, as an example. The experiment proves that this personalized question answering system can send the content learners fell interested in, improve learners' comprehension of content related to the questions, and open the thoughts of learners.