Semantic Web Dog Food

Presented at: 5th European Semantic Web Conference (ESWC2008)

by Kay-Uwe Schmidt, Jörg Dörflinger, Tirdad Rahmani, Mehdi Sahbi, Susan Thomas, Ljiljana Stojanovic

The need for adaptive and personalized Rich Internet Application puts a new dimension to already existing approaches of Adaptive Hypermedia Systems. Instead of computing the adaptation steps at the server, Rich Internet Applications need a client-side approach that can react immediately on user input. In this paper we present a novel approach that holistically combines page annotations, semantic Web usage mining, user modeling, ontologies and rules to adapt AJAX pages. The focus of our pater is the conceptual introduction of the autonomous client. An autonomous client directly executes all necessary adaptation steps based on a user model, without requesting any logic on the server. In order to realize this, we use ontologies to annotate Rich Internet Applications and to describe the user model as well as semantic Web usage mining for detecting adaptation rules. Additionally, we provide a detailed overview and evaluation of how we moved resource-intensive ontology processing and rules execution from the server to the client.

Keywords: adaptaion of rich internet applications, data mining, ontologies, semantic web rule language, user modeling, Logic, Machine Learning, Personalization, Rule of Inference, Semantic Web, User Interface, Web 2.0

Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2008/paper/72
Same as: http://revyu.com/things/eswc-2008-paper-an-user-applications
Same as: http://semanticweb.org/id/An_User_Interface_Adaptation_Architecture_for_Rich_Internet_Applications

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