A Trace-Based Framework for supporting Digital Object Memories

نویسندگان

  • Lotfi Sofiane Settouti
  • Yannick Prié
  • Damien Cram
  • Pierre-Antoine Champin
  • Alain Mille
چکیده

In this paper, we present a Trace Based framework for managing and transforming traces of observation and use of real life objects. Considering trace based systems as Digital Object Memories (DOMe), we describe how our framework can be used to manage DOMe, using trace models and transformations to raise the abstraction level of traces and infer useful knowledge. To demonstrate our approach, we present a simple fictional example of smart home where the use and the state of some of everyday objects are observed, and the resulting traces of such observations are exploited as DOMe providing useful services.

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تاریخ انتشار 2009