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.
%0 Conference Paper
%1 schmidt2008user
%A Schmidt, Kay-Uwe
%A Dörflinger, Jörg
%A Rahmani, Tirdad
%A Sahbi, Mehdi
%A Thomas, Susan
%A Stojanovic, Ljiljana
%B Proceedings of the 5th European Semantic Web Conference
%C Berlin, Heidelberg
%D 2008
%E Hauswirth, Manfred
%E Koubarakis, Manolis
%E Bechhofer, Sean
%I Springer Verlag
%K adaptation applications data internet language mining modeling ontologies rich rule semantic user user-interfaces-and-personalization web
%T An User Interface Adaptation Architecture for \\Rich Internet Applications
%U http://data.semanticweb.org/conference/eswc/2008/papers/72
%X 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.
@inproceedings{schmidt2008user,
abstract = {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.},
added-at = {2008-05-28T14:49:54.000+0200},
address = {Berlin, Heidelberg},
author = {Schmidt, Kay-Uwe and Dörflinger, Jörg and Rahmani, Tirdad and Sahbi, Mehdi and Thomas, Susan and Stojanovic, Ljiljana},
biburl = {https://www.bibsonomy.org/bibtex/2dc85f0d776078a6b46419598834afa09/eswc2008},
booktitle = {Proceedings of the 5th European Semantic Web Conference},
editor = {Hauswirth, Manfred and Koubarakis, Manolis and Bechhofer, Sean},
interhash = {b2824f43fb8fef23cd8592dfa6ceec41},
intrahash = {dc85f0d776078a6b46419598834afa09},
keywords = {adaptation applications data internet language mining modeling ontologies rich rule semantic user user-interfaces-and-personalization web},
month = {June},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2008-06-02T10:47:46.000+0200},
title = {An User Interface Adaptation Architecture for \\Rich Internet Applications},
url = {http://data.semanticweb.org/conference/eswc/2008/papers/72},
year = 2008
}