DocumentCode :
2196537
Title :
The Logical Difference for Fuzzy Ontologies
Author :
Feng, Sha-Sha ; Ou-Yang, Dan-Tong ; Zhang, Yong-Gang
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2010
fDate :
June 29 2010-July 1 2010
Firstpage :
457
Lastpage :
463
Abstract :
Ontologies undergo changes for reasons such as changes in knowledge, meeting varying application requirements. Thus, for different versions of a considered ontology, it is important to clarify the difference between them. The difference above refers to the logical difference, not syntactic one. Examples of the logical difference include the difference in taxonomy, concept subsumption difference and query difference. These has been well investigated for the lightweight description logic εL because of its tractability and successful application in bio-medical ontologies. Fuzzy εL+ has been put forward and applied in view-based searching in Semantic portals. Thus comes the problem of comparing fuzzy ontologies of different versions and clarifying the difference. In this paper, we define the logical difference of two fuzzy εL+ ontologies. For fuzzy εL+ ontologies of different versions we investigate how to compute the difference in taxonomy and concept subsumption difference. We also explore how to compute approximation of the logical difference of two εL terminologies. Our work can be applied in the scenario of εL+ ontologies with access control if the set of all access rights is a linear order.
Keywords :
fuzzy set theory; knowledge representation languages; ontologies (artificial intelligence); access control; biomedical ontologies; concept subsumption difference; description logic; fuzzy εL+ ontologies; logical difference; query difference; semantic portals; Approximation methods; Cognition; Computational modeling; Ontologies; Semantics; Taxonomy; Terminology; Fuzzy Description Logic; lightweight description logic eL^+; logical difference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
Type :
conf
DOI :
10.1109/CIT.2010.104
Filename :
5578142
Link To Document :
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