Context-based Retrieval for Explainable Reasoning

نویسندگان

  • Stefan Schulz
  • Thomas Roth-Berghofer
چکیده

On the background of mobile, ubiquitous, and pervasive applications, context determination and assignment is a necessary factor to provide IT solutions suited to a user and the user’s current situation. In this paper, context is seen as n-ary relationship. Context gets embedded into ontologies, which are used to structure application specific knowledge. We present an integrative, case-based modelling approach for context and context management. We discuss the incorporation of context-based reasoning and explanation. And finally, we show how to apply our approach for trust management. RÉSUMÉ: Dans le cadre des applications mobiles, diffuses et omniprésentes, la détermination et l'explicitation du contexte est un facteur nécessaire pour fournir des solutions IT personnalisées à un utilisateur donné dans une situation donnée. Dans ce papier, le contexte est considéré comme une relation n-aire. Le contexte est supposé contenu dans des ontologies qui sont utilisées pour structurer les connaissances spécifiques des applications. Nous présentons une approche basée sur une modélisation de cas pour exprimer le contexte et sa gestion. Nous discutons l'incorporation d'un raisonnement et la génération d'explications basés sur le contexte. Nous montrons finalement comment appliquer notre approche dans la gestion de la confiance.

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عنوان ژورنال:
  • Revue d'Intelligence Artificielle

دوره 19  شماره 

صفحات  -

تاریخ انتشار 2005