CDL: an Integrated Framework for Context Specification and Recognition

  • Authors:
  • Fulvio Mastrogiovanni;Antonello Scalmato;Antonio Sgorbissa;Renato Zaccaria

  • Affiliations:
  • University of Genova, Italy, email: fulvio@dist.unige.it;University of Genova, Italy, email: antonello@dist.unige.it;University of Genova, Italy, email: sgorbiss@dist.unige.it;University of Genova, Italy, email: renato@dist.unige.it

  • Venue:
  • Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
  • Year:
  • 2008

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Abstract

A framework is introduced that is aimed at integrating ontology and logic approaches for context-awareness, suitable for use in Ambient Intelligence (AmI) scenarios. In particular, the context description language CDL is described, which allows to easily specify patterns of events which occurrences must be monitored by actual systems. As long as systems evolve, symbolic data originating from heterogeneous sources are first aggregated and then classified according to formulas described in CDL. Experimental results performed in a Smart Home environment are presented and discussed.