The research on reasoning of tourism information and knowledge based on semantic Web

The research on reasoning of tourism information and knowledge based on semantic Web

Zhiqiang Liu, Yila Su, Fei Wang, Huimin Li

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 1061-1067

College of Information Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

As a kind of modelling tool of describing knowledge framework based on semantics and knowledge, ontology provides a standardized description of concepts and lays a foundation for the sharing of knowledge. This paper constructs a tourist information knowledge base body via ontology tools, and meanwhile makes s series of reasoning based on the constructed knowledge base. Furthermore, one can manually construct inference rules to probe into the field of knowledge and complete the key objectives of the Semantic Web-"machine-understandable." For the uncertainty which cannot be described by descriptive logic, this paper recommends the introduction of Bayesian networks, which can not only easily construct conditional probability tables, but can conduct a rapid reasoning of probability and finally provides people with a reasonable travel plan.