A data-oriented survey of context models

  • Authors:
  • Cristiana Bolchini;Carlo A. Curino;Elisa Quintarelli;Fabio A. Schreiber;Letizia Tanca

  • Affiliations:
  • Politecnico di Milano, Milano (Italy);Politecnico di Milano, Milano (Italy);Politecnico di Milano, Milano (Italy);Politecnico di Milano, Milano (Italy);Politecnico di Milano, Milano (Italy)

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2007

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Abstract

Context-aware systems are pervading everyday life, therefore context modeling is becoming a relevant issue and an expanding research field. This survey has the goal to provide a comprehensive evaluation framework, allowing application designers to compare context models with respect to a given target application; in particular we stress the analysis of those features which are relevant for the problem of data tailoring. The contribution of this paper is twofold: a general analysis framework for context models and an up-to-date comparison of the most interesting, data-oriented approaches available in the literature.