Tractable reasoning via approximation
Artificial Intelligence
On the relative expressiveness of description logics and predicate logics
Artificial Intelligence
Rewriting queries using views in description logics
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Building and (Re)Using an Ontology of Air Campaign Planning
IEEE Intelligent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Views for light-weight Web ontologies
Proceedings of the 2003 ACM symposium on Applied computing
Viewing the semantic web through RVL lenses
Web Semantics: Science, Services and Agents on the World Wide Web
MurO: a multi-representation ontology as a foundation of enterprise information systems
CIT'04 Proceedings of the 7th international conference on Intelligent Information Technology
HIS-KCWater: context-aware geospatial data and service integration
Proceedings of the 2007 ACM symposium on Applied computing
Representation of context-dependant knowledge in ontologies: A model and an application
Expert Systems with Applications: An International Journal
Proceedings of the 2009 conference on Law, Ontologies and the Semantic Web: Channelling the Legal Information Flood
Using context for the extraction of relational views
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
An ontology design pattern for representing relevance in OWL
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
View-OD: a view model for ontology-based databases
International Journal of Intelligent Information and Database Systems
| Hi-index | 0.00 |
Despite of their advertisement as task independent representations, the reuse of ontologies in different contexts is difficult. An explanation for this is that when developing an ontology, a choice is made with respect to what aspects of the world are relevant. In this paper we deal with the problem of reusing ontologies in a context where only parts of the originally encoded aspects are relevant. We propose the notion of a viewpoint on an ontology in terms of a subset of the complete representation vocabulary that is relevant in a certain context. We present an approach of implementing different viewpoints in terms of an approximate subsumption operator that only cares about a subset of the vocabulary. We discuss the formal properties of subsumption with respect to a subset of the vocabulary and show how these properties can be used to efficiently compute different viewpoints on the basis of maximal sub-vocabularies that support subsumption between concept pairs.