Rule-based context assessment in smart cities

  • Authors:
  • Beibei Hu;Theodore Patkos;Abdelghani Chibani;Yacine Amirat

  • Affiliations:
  • Lissi Laboratory, University of Paris-Est Creteil (UPEC), Creteil, France;Lissi Laboratory, University of Paris-Est Creteil (UPEC), Creteil, France;Lissi Laboratory, University of Paris-Est Creteil (UPEC), Creteil, France;Lissi Laboratory, University of Paris-Est Creteil (UPEC), Creteil, France

  • Venue:
  • RR'12 Proceedings of the 6th international conference on Web Reasoning and Rule Systems
  • Year:
  • 2012

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Abstract

This paper presents a rule-based architecture that enables causal and temporal reasoning of events and supports their relevance assessment given the user's situation, in order to provide contextualized services for citizens inhabiting a smart city. Our approach for context reasoning and assessment is illustrated by emergency scenarios.