Modelling and Adapting to Context

  • Authors:
  • Daniela Petrelli;Elena Not;Massimo Zancanaro;Carlo Strapparava;Oliviero Stock

  • Affiliations:
  • Cognitive and Communication Technology Division, ITC-irst, Trento, Italy;Cognitive and Communication Technology Division, ITC-irst, Trento, Italy;Cognitive and Communication Technology Division, ITC-irst, Trento, Italy;Cognitive and Communication Technology Division, ITC-irst, Trento, Italy;Cognitive and Communication Technology Division, ITC-irst, Trento, Italy

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2001

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Abstract

One of the hardest points in context-aware applications is deciding what reactions a system has to a certain context. In this paper, we introduce an architecture used in two context-aware museum guides. We discuss how the context is modelled and we briefly present a rule-based mechanism to trigger system actions. A rule-based system offers the flexibility required to be context-sensitive in the broadest sense since many context features can be considered and evaluated at the same time. This architecture is very flexible and easily supports a fast prototyping approach.