A Knowledge-Based Approach to Augment Applications with Interaction Traces
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.
Domains
Artificial Intelligence [cs.AI]| Origin | Files produced by the author(s) |
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