A Chinese Intelligent Question Answering System Based on Domain Ontology and Sentence Templates

With the development of network technology, distance education is becoming increasingly important. Intelligent question answering system is an important part of remote learning system. Currently, there have been a lot of mature English question answering systems. Owing to the Chinese natural language complexity and processing technical limitations, there is still no mature Chinese QA system exploited by now. This paper designs and implements a Chinese intelligent question answering system based on domain ontology and sentence templates according to Chinese characteristics. This system packages question template , semantic template and answer model into a sentence template, adopts automatic word segmentation and sentence templates matching method to understand the users’ questions, and uses domain ontology as knowledge base which provide domain vocabulary for question analysis and knowledge retrieval for answers’ generation. Our system achieves to question with limited natural language, and finally returns to the user a precise and concise answer.