Semantic representation of context models: a framework for analyzing and understanding

  • Authors:

  • Salma Najar;Oumaima Saidani;Manuele Kirsch-Pinheiro;Carine Souveyet;Selmin Nurcan

  • Affiliations:

  • Université Paris Panthéon -- Sorbonne, Paris, France and Citypassenger, Courtaboeuf, France;Université Paris Panthéon -- Sorbonne, Paris, France;Université Paris Panthéon -- Sorbonne, Paris, France;Université Paris Panthéon -- Sorbonne, Paris, France;Université Paris Panthéon -- Sorbonne, Paris, France

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

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Abstract

Context-aware systems are applications that adapt themselves to several situations involving user, network, data, hardware and the application itself. In this paper, we review several context models proposed in different domains: content adaptation, service adaptation, information retrieval, etc. The purpose of this review is to expose the representation of this notion semantically. According to this, we propose a framework that analyzes and compares different context models. Such a framework intends helping understanding and analyzing of such models, and consequently the definition of new ones. This framework is based on the fact that context-aware systems use context models in order to formalize and limit the notion of context and that relevant information differs from a domain to another and depends on the effective use of this information. Based on this framework, we consider in this paper a particular application domain, Business Processes, in which the notion of context remains unexplored, although it is required for flexibility and adaptability. We propose, in this paper, an ontology-based context model focusing on this particular domain.