In this paper we present an integrated view for modeling and reasoning for context applications using OWL DL. In our case study, we describe a task driven approach to model typical situations as context concepts in an OWL DL ontology. At run-time OWL individuals form situation descriptions and by use of realization we recognise a certain context. We demonstrate the feasibility of our approach by performance measurements of available highly optimised Description Logics (DL) reasoners for OWL DL.
Citation:
Anni-Yasmin Turhan, Thomas Springer, Michael Berger, "Pushing Doors for Modeling Contexts with OWL DL a Case Study," percomw, pp.13-17, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006