Research and Application of Question Answering System Based on Subject Knowledge Base

Abstract

The intelligent subject knowledge base question-and-answer system has a positive effect on improving the self-learning ability of the students, and designs a subject knowledge base question-and-answer system based on man-machine interaction. The system design includes the design of the question and answer algorithm of the subject knowledge base and the software development and design of the system. The semantic ontology structure mapping method is adopted to control the semantic information in the question-and-answer process of the subject knowledge base, and the expert subject knowledge base is constructed. The semantic concept tree analysis is carried out in combination with the feature construction method of the subject word feature, the human-computer interaction design of a subject knowledge base question-and-answer system is carried out by adopting a networked information interaction mode, and a corpus of words, phrases and sentences of a subject knowledge base question-and-answer system is constructed, in that concept of the semantic subject word, the sentence division of the question and answer of the subject knowledge base is realized, and the subject word characteristic matching method is adopted to realize the algorithm design of the network subject knowledge base question and answer, and the intelligence of the question and answer of the subject knowledge base is improved. In the embedded industrial control host, the system development and human-computer interaction design of the subject knowledge base are carried out, and the system is mainly composed of an information processing module, a subject knowledge base information acquisition module, a DMA controller, an output module and the like. The test results show that the system can effectively realize the question-and-answer of the network subject knowledge base and improve the reliability and intelligence of the subject-and-answer system of the subject knowledge base.