The semantic tagging model of chinese question sentence chunk based on description logics

QA (Question Answering) is one of the hot spots in artificial intelligence field. At present, English QA research has made great progress in large-scale text. There are still many difficulties in Chinese QA and it is impossible to understand the true meaning of questions. To solve the problem of Chinese question sentence can't provide deep semantic information for syntactic analysis, the paper proposes a semantic tagging model of Chinese question sentence chunk based on description logics. With the knowledge of HNC's concept symbol to get semantic information about the word, and by starting with the connotation of the concept categories, it preliminarily analyzes the logical structure of specific question sentences. Finally, with description logic reasoning mechanism, we get semantic view of question sentence and proving it's verify in practical.