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Ontonym : a collection of upper ontologies for developing pervasive systems

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Date
2009
Abstract
Pervasive systems present the need to interpret large quantities of data from many sources. Context models support developers working with such data by providing a shared representation of the environment on which to base this interpretation. This paper presents a set of requirements for a context model that addresses uncertainty, provenance, sensing and temporal properties of context. Based on these requirements, we describe Ontonym, a set of ontologies that represent core concepts in pervasive computing. We propose a framework for evaluating ontologies in the pervasive computing domain by combining recognised techniques from the literature, and present a preliminary evaluation of Ontonym using these criteria.
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Description
peer-reviewed
Publisher
Association for Computing Machinery
Citation
Proceedings of the 1st Workshop on Context, Information And Ontologies (CIAO 2009);
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Funding Information
Science Foundation Ireland (SFI)
Sustainable Development Goals
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