Ontonym: a collection of upper ontologies for developing pervasive systems

  • Authors:
  • Graeme Stevenson;Stephen Knox;Simon Dobson;Paddy Nixon

  • Affiliations:
  • School of Computer Science and Informatics, UCD Dublin, Ireland;School of Computer Science and Informatics, UCD Dublin, Ireland;School of Computer Science and Informatics, UCD Dublin, Ireland;School of Computer Science and Informatics, UCD Dublin, Ireland

  • Venue:
  • Proceedings of the 1st Workshop on Context, Information and Ontologies
  • Year:
  • 2009

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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.