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edit ONCOR: Ontology- and Evidence-based Context Reasoner

ONCOR: Ontology- and Evidence-based Context Reasoner

William Niu, Judy Kay
School of Information Technologies, University of Sydney

Contact Person

William Niu
niu@it.usyd.edu.au

Photo of ONCOR: Ontology- and Evidence-based Context Reasoner

Project Description

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.

The Middle Building Ontology (MIBO) is available in OWL-Lite here (9.5Kb). An extended-MIBO for the School of Information Technologies building is also available in OWL-Lite here (122Kb).


Key Publications

W. T. Niu and J. Kay. PERSONAF: Framework for personalised ontological reasoning in pervasive computing. User modeling and User-Adapted Interaction: the Journal of Personalization Research, 20(1):1-40, 2010. [View Details]

W. Niu and J. Kay. Pervasive personalisation of location information: Personalised context ontology. In AH: International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pages 143-152, 2008. [View Details]

W. Niu and J. Kay. Location conflict resolution with an ontology. In Proceedings of Pervasive 2008: 6th International Conference on Pervasive Computing, pages 162-179, 2008. [View Details]

W. Niu and J. Kay. Personalised pervasive modelling with a personalised context ontology. In S. Berkovsky, F. Carmagnola, D. Heckmann, A. Krueger, and T. Kuflik, editors, Proceedings of UMI, User Model Integration, Workshop at AH 2008, pages 38-42, 2008. [View Details]

J. Kay, W. Niu, and D. J. Carmichael. ONCOR: Ontology- and evidence-based context reasoner. In Proceedings of IUI 2007, 2th International Conference on Intelligent User Interfaces, pages 290-293, New York, NY, USA, 2007. ACM Press. [View Details]

W. Niu and J. Kay. Improving location reasoning with an ontology. Technical report, 2007. [View Details]