Title
Uncertainty Reasoning in Description Logics: A Generic Approach
Abstract
Description Logics (DL) are gaining more popularity as the foundation of ontology languages for the Semantic Web. As most information in real life is imperfect, there has been an increasing interest recently in extending the expressive power of DLs with uncertainty, for which a number of frameworks have been proposed. In this paper, we introduce an extension of DL which unifies and/or generalizes a number of exist- ing approaches for DLs with uncertainty. For this, we first provide a classification of the components of existing frame- works for DLs with uncertainty in a generic way. Using this as a basis, we then discuss ways to extend these components with uncertainty, which includes the description language, the knowledge base, and the reasoning services.
Year
Venue
Keywords
2006
FLAIRS Conference
expressive power,semantic web,description logic,knowledge base
Field
DocType
Citations 
T-norm fuzzy logics,Knowledge representation and reasoning,Computer science,Semantic Web,Description logic,Artificial intelligence,Natural language processing,Non-monotonic logic,Social Semantic Web,Rotation formalisms in three dimensions,Ontology language
Conference
4
PageRank 
References 
Authors
0.49
8
3
Name
Order
Citations
PageRank
Volker Haarslev11831250.65
Hsueh-Ieng Pai2463.26
Nematollaah Shiri328028.31