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Journal of Electrical and Computer Engineering
Volume 2016 (2016), Article ID 5636254, 8 pages
http://dx.doi.org/10.1155/2016/5636254
Research Article

Research on the Rough Extension of Ontology Description Language of SWRL

College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin 300222, China

Received 18 November 2015; Accepted 27 January 2016

Academic Editor: Hui Cheng

Copyright © 2016 Xian-kun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Although ontology has strong ability to express knowledge, it is difficult to express uncertain or imprecise information using the language of ontology. In order to improve the ability to express uncertain information, this paper extends the Semantic Web Rule Language (SWRL) and gives the extension of reasoning rules. According to the rough ontology and the rules of SWRL, it updates the knowledge base. Firstly, the concept of rough ontology and the extension of rough relationship of ontology are put forward; secondly, it gives the extension method for concepts, relationships, axioms, examples, and rules of SWRL. Finally, a psychological counseling case shows that the method can well express the uncertainty of knowledge, and it is able to well express the reasoning rules.