Research And Application Of The Key Techniques In Chinese Query Answering System Of Networking Education

The traditional face-to-face approach for query answering cannot meet users' growing need because of its limitation in time and space. With the development of computer network techniques and Internet, the network-based query answering system (QAS) appears in the field. The QAS's implemented with email or BBS or net chatting tools do not systematically analyze and record answers, not provide knowledge base for users to retrieve, and are not capable of efficiently serving other users with the same questions. A really practical QAS not only records users' queries and experts' answers, but also quickly returns the relevant knowledge items sorted by the similarity according to user's queries.The mechanism and key techniques of the Chinese QAS are researched, the model of a QAS based on knowledge base technique is proposed, users' requirements are analyzed, and a Struts-based QAS of networking education with some intelligence is designed and implemented. The knowledge is represented with Framework model, the knowledge base is implemented with database techniques, and inverted index techniques are employed to quickly locate knowledge items. The process of analyzing the knowledge items described in natural language is explained, including pre-processing text, statistic-based word extraction, maximum matching method, setting term weights and computing similarity. The double-array TRIE structure for segmentation dictionaries is revised, the knowledge items are indexed with inverted terms, and SQL statements are mapped to database by SQL Maps.Applying the techniques mentioned above, a Chinese QAS of networking education with some intelligence for Chinese language is implemented, and it supports the operations of analysis, insertion, update and retrieval on knowledge items. Some contributions are made to probing the implementation of the automatic intelligent Chinese QAS.