A knowledge-based approach to augment applications with interaction traces

  • Authors:
  • Olivier Curé;Yannick Prié;Pierre-Antoine Champin

  • Affiliations:
  • LIGM, CNRS UMR 8049, Université Paris-Est, France;LIRIS, CNRS UMR 5205, Université Lyon 1, France;LIRIS, CNRS UMR 5205, Université Lyon 1, France

  • Venue:
  • EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
  • Year:
  • 2012

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Abstract

This paper presents a trace-based framework for assisting personalization and enrichment of end-user experience in an application. We propose a modular ontology-based architecture, to provide semantics for interaction traces, observed elements and their associated objects, and we extend existing inference services, with a declarative and generic approach, in order to reason with those interaction traces. We present the architecture of our framework and its reasoning levels, provide a proof of concept on a medical Web application, and emphasize that different kinds of actors can benefit from the supported inferences.