Using JessTab to Integrate Protégé and Jess
IEEE Intelligent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
ε-connections of abstract description systems
Artificial Intelligence
Towards a mathematical theory of knowledge
Journal of Computer Science and Technology
Description logics in ontology applications
TABLEAUX'05 Proceedings of the 14th international conference on Automated Reasoning with Analytic Tableaux and Related Methods
SWDB'04 Proceedings of the Second international conference on Semantic Web and Databases
Ontology-Based user context management: the challenges of imperfection and time-dependence
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
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With context unceasingly changing, available information among ontologies of different information sources is often heterogeneous. It is crucial to develop scalable and efficient ontological formalism. This paper presents a categorial context-based formalism with default reasoning, in which context information is extensively considered, and from the category theory point of view, we syncretize default reasoning and make a categorial context extension to description logics (DL) for heterogeneous ontology integration. The core part of the formalism is a categorial context based on the DL, which captures and explicitly represents the information about contexts, and constructs nonmonotonic default reasoning. Based on the formal framework, a prototype is developed based on JESS, RACER and Protégé OWL plugin, which can integrate different ontologies from multiple distributed sources with context information using default reasoning.