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ONCOR: ontology- and evidence-based context reasoner
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 12th international conference on Intelligent user interfaces table of contents
Honolulu, Hawaii, USA
SESSION: Short papers table of contents
Pages: 290 - 293  
Year of Publication: 2007
ISBN:1-59593-481-2
Authors
Judy Kay  The University of Sydney, Australia
William T. Niu  The University of Sydney, Australia
David J. Carmichael  The University of Sydney, Australia
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper, we describe ONCOR, our ontology- and evidence-based approach to reason about context. ONCOR tackles the critical problem of providing a flexible and pragmatic approach to building light-weight ontologies of places, devices and sensors in MyPlace, a ubiquitous computing application which provides personalised information about a building. Our contributions lie in constructing a general middle ontology for a building (MIBO) based on OpenCyc, combined with our own approach to evidence-based reasoning, (accretion and resolution). We describe the evaluation of ONCOR in terms of a comparison of its answers to core ontological questions about context with previous work.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Judy Kay: colleagues
William T. Niu: colleagues
David J. Carmichael: colleagues