Title :
Research on an Intelligence Q/A Expert System Based on the Bayesian Reasoning Mechanism
Author_Institution :
Guangxi Econ. Manage. Cadre Coll., Nanning, China
Abstract :
With the development of network education, the online question/answering (Q/A) system plays more and more important role. The traditional Q/A system need the teachers to answer questions, which is low efficient. This paper introduces a model of an intelligence Q/A system which is based on the expert system theory. And it analyzes how to construct the knowledge database, third it researches on the Bayesian reasoning mechanism. In a certain extent, the extensibility and the intelligence to the system are greatly enhanced.
Keywords :
belief networks; computer aided instruction; expert systems; inference mechanisms; question answering (information retrieval); teaching; Bayesian reasoning mechanism; intelligence Q/A expert system; knowledge database; network education; online question-answering system; teachers; Arrays; Bayesian methods; Cognition; Databases; Expert systems; Knowledge engineering; intelLigence Q/A expert system; reasoning mechanism; rule-based knowledge database;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.234
