Matches in ScholarlyData for { ?s ?p This paper presents a generic framework for assisting personalization and enrichment of end-user experience as well as designing new functionalities in digital applications. The approach provides end-user profiles which are auto- matically generated using interaction traces corresponding to a set of temporally situated observed elements recorded in a given situation. A main contribution of this work is to extend existing inference services based on interaction traces with a declarative and generic approach. An ontology-based architecture formalized with Description Logics provides semantics for interaction traces, observed ele- ments and their associated objects. Due to our ontology modularization approach, the framework permits to describe new forms of interactions or novel object char- acteristics. We present the architecture of our framework and its reasoning levels, provide a proof of concept on a medical Web application, and emphasize that actors of many kinds can benefit from the supported inferences.. }
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- 23 abstract "This paper presents a generic framework for assisting personalization and enrichment of end-user experience as well as designing new functionalities in digital applications. The approach provides end-user profiles which are auto- matically generated using interaction traces corresponding to a set of temporally situated observed elements recorded in a given situation. A main contribution of this work is to extend existing inference services based on interaction traces with a declarative and generic approach. An ontology-based architecture formalized with Description Logics provides semantics for interaction traces, observed ele- ments and their associated objects. Due to our ontology modularization approach, the framework permits to describe new forms of interactions or novel object char- acteristics. We present the architecture of our framework and its reasoning levels, provide a proof of concept on a medical Web application, and emphasize that actors of many kinds can benefit from the supported inferences.".