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Research and Implementation of Ontology Conflict Detection and Reasoning Based on Description Logic for Forest Disease and Pest Diagnosis

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4 Author(s)
Wang Nihong ; Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China ; Li Dan ; Pan Hua ; Liang Zhiqiang

This paper focused on ontology reasoning and conflict detection based on description logic. It presented the formal definition of forest disease and pest diagnosis ontology, which can reveal the clear hierarchy structure of knowledge. SWRL rules are built from the ontology that can have application in the reasoning of forest disease and pest diagnosis system. And ontology conflict detections of individual consistency checking and relation consistency checking are proposed and designed in this paper. The reasoning process is also designed, and can provide reference information in other domain applications.

Published in:

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on  (Volume:2 )

Date of Conference:

6-7 March 2010