A Middleware Infrastructure for Active Spaces
IEEE Pervasive Computing
Modelling and Using Imperfect Context Information
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Ontology Based Context Modeling and Reasoning using OWL
PERCOMW '04 Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops
Semantic Space: An Infrastructure for Smart Spaces
IEEE Pervasive Computing
DRAGO: distributed reasoning architecture for the semantic web
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
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In ubiquitous computing systems, heterogeneous applications must be capable of responding to dynamic changes in their environments with minimal human interference and strongly relying on context information. Reasoning is necessary in ubiquitous systems mainly for transforming raw context data into meaningful information and for infering new implicit context information that may be relevant for the applications. Besides that, reasoning is fundamental for triggering actions or adaptations according to specific situations described by rules. These rules typically depend on several context variables, which may originate from different distributed sources. Hence, we propose a strategy for cooperative context reasoning of complex situations involving a reasoner for the user side and a reasoner for the ambient side.