A data-oriented survey of context models

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.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.4 Systems and Software
          Subjects: User profiles and alert services

Additional Classification:
  A. General Literature
  A.1 INTRODUCTORY AND SURVEY

  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.0 General
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.0 General

General Terms:
Management, Theory