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. © 2012 Springer-Verlag.
CITATION STYLE
Curé, O., Prié, Y., & Champin, P. A. (2012). A knowledge-based approach to augment applications with interaction traces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7603 LNAI, pp. 317–326). https://doi.org/10.1007/978-3-642-33876-2_28
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