SemRank: ranking complex relationship search results on the semantic web
WWW '05 Proceedings of the 14th international conference on World Wide Web
A rule engine for relevance assessment in a contextualized information delivery system
Proceedings of the 16th international conference on Intelligent user interfaces
Context relevance assessment and exploitation in mobile recommender systems
Personal and Ubiquitous Computing
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We present a rule-based architecture (CIDA) for the provision of relevant information tailored to the user's current context, which consists of an ontology-based context model (ConAD) and a rule engine (RARE). ConAD is extensible to characterize the contextual situations in urban environments, and RARE supports the reconfiguration of the behavior of systems in different situations. Our preliminary evaluation results based on emergency scenarios show that CIDA is feasible for providing context-aware urban information services.