Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Structured information retrieval in XML documents
Proceedings of the 2002 ACM symposium on Applied computing
A Survey of Context-Aware Mobile Computing Research
A Survey of Context-Aware Mobile Computing Research
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Introduction to Information Retrieval
Introduction to Information Retrieval
Sharing Context-Aware Road and Safety Information
IEEE Pervasive Computing
A survey of context modelling and reasoning techniques
Pervasive and Mobile Computing
Architectural backpropagation support for managing ambiguous context in smart environments
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Evaluating information retrieval system performance based on user preference
Journal of Intelligent Information Systems
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
iConAwa - An intelligent context-aware system
Expert Systems with Applications: An International Journal
Inter-vehicle communication systems: a survey
IEEE Communications Surveys & Tutorials
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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The proposed VANET IR-CAS is a context aware system that utilizes information retrieval (IR) techniques, such as indexing, document scoring and document similarity, to enhance context aware information dissemination in VANET. It uses a hybrid context model; spatial model for service filtering, ontology model for context reasoning and knowledge sharing, markup model for file exchange, and situational model for safety and convenience services. Its VANET OWL ontology managed by Jena semantic web framework succeeded in formalizing the semantics of VANET context domain and heightened the system abstraction level. Relevance of dispatched information to prospective recipients is enhanced by employing IR techniques and partial relevance. For commercial services, we used the hybrid vehicular communication (HVC) to increase the decentralized processing, exploit the vehicle processing power and increase user satisfaction and privacy. V2V is used for safety and convenience services where the level of abstraction has increased by using high level situation context attributes. In addition, more precise application notifications are now feasible after improving reasoning about situation certainty and severity. Hence, the main novelty of VANET IR-CAS is that it provides a highly abstract hybrid context model with IR based processing that raises the notification relevance, certainty and precision beside increasing decentralization and user satisfaction.