AAAI Publications, Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence

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DCON: Interoperable Context Representation for Pervasive Environments
Simon Scerri, Judie Attard, Ismael Rivera, Massimo Valla

Last modified: 2012-07-15


Efforts by the pervasive, context-aware system development community have over the years produced a wide variety of context-aware techniques and frameworks. However, a bulk of this technology tends to be strictly tied to a native system, thus largely limiting its external adoption. In addressing this limitation, we introduce an interoperable context representation format, in the form of an ontology, which models core context-aware concepts for re-use within pervasive computing environments. The DCON Context Ontology is proposed as a novel vocabulary for the representation of activity context as experienced by a user, and sensed through one or more of their devices. We demonstrate how, combined with other domain ontologies, DCON provides for richer representations of multi-level context interpretations that are integrated with other known background information about a user.


context modelling; context matching; situation recognition; ontologies;

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