ONCOR (Ontology- and Evidence-based Context Reasoner) is a reasoning component that integrates ontological reasoning into the accretion-resolution (A/R) approach. With the A/R approach ONCOR is able to take a diverse list of contextual sources across different context models in the resolution, or reasoning process. At the heart of ONCOR is an extended Middle Building Ontology (MIBO)—an upper/middle ontology for modelling the inside of a building. We explore the potential of an ontology in the areas of conflict resolution, personalisation and privacy management in Ubiquitous Computing environments.
ONCOR has been integrated into the working prototype of Locator as a location conflict resolution component. The extended-MIBO used for reasoning is a location ontology for the School of Information Technologies building on the University of Sydney campus. It is semi-automatically built by parsing the building maps in SVG/XML formats. The resulting ontology is in the OWL-Lite format with 573 location instances.
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Location Conflict Resolution with an Ontology Inproceedings
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Personalised Pervasive Modelling with a Personalised Context Ontology Inproceedings
Berkovsky, Shlomo; Carmagnola, Francesca; Heckmann, Dominikus; Krueger, Antonio ; Kuflik, Tsvi (Ed.): Proceedings of UMI, User Model Integration, Workshop at AH 2008, pp. 38-42, Hannover, Germany, 2008.
Pervasive Personalisation of Location Information: Personalised Context Ontology Inproceedings
AH: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pp. 143-152, 2008.
ONCOR: Ontology- and Evidence-based Context Reasoner Inproceedings
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Improving Location Reasoning with an Ontology Technical Report