A Knowledge-Based Approach to Augment Applications with Interaction Traces

Olivier Curé (1) , Yannick Prié (2) , Pierre-Antoine Champin (3)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 SILEX - Supporting Interaction and Learning by Experience

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.

Mots clés: Knowledge representation; Knowledge management

Domaines: Intelligence artificielle [cs.AI]

Olivier Curé, Yannick Prié, Pierre-Antoine Champin. A Knowledge-Based Approach to Augment Applications with Interaction Traces. EKAW 2012, Oct 2012, Galway, Ireland. pp.317-326, ⟨10.1007/978-3-642-33876-2_28⟩. ⟨hal-00738349⟩