Rule-based Adaptation of Web Information Systems
World Wide Web
Context information for knowledge reshaping
International Journal of Web Engineering and Technology
RDFKB: efficient support for RDF inference queries and knowledge management
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
A semiotic-based framework for the development of tailorable web applications
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: applications and services
Context-Driven data filtering: a methodology
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
CARVE: Context-aware automatic view definition over relational databases
Information Systems
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Current applications are often forced to filter the richness of datasources in order to reduce the information noise the user is subject to. We consider this aspect as a critical issue of applications, to be factorized at the data management level. The Context-ADDICT system, leveraging on ontology-based context and domain models, is able to personalize the data to be made available to the user by "context-aware tailoring". In this paper we present a formal approach to the definition of the relationship between context (represented by an appropriate context model) and application domain (modeled by a domain ontology). Once such relationship has been defined, we are able to work out the boundary of the portion of the domain relevant to a user in a certain context. We also sketch the implementation of a visual tool supporting the application designer in this modeling task