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VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement

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Abstract

We propose a context aware system for VANET based on information retrieval and show how it supports Service Announcement (SA). VANET IR-CAS enhances scalability through its highly abstract hybrid context model. It uses an ontology that formalizes the semantics of VANET context domain to allow for knowledge sharing. A hybrid vehicular communication (HVC) is utilized to increase the decentralization, exploit vehicle processing power and protect privacy. The employed IR techniques and partial relevance improve the dispatched information relevance to prospective recipients and add to their satisfaction. Using smart service grouping raises filtering efficiency due to reduction in required connection time.

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Authors and Affiliations

  1. Electrical & Computer Engineering, University of Waterloo, 200 University Avenue, West Waterloo, ON, N2L 3G1, Canada

    Lobna Nassar, Fakhri Karray & Mohamed S. Kamel

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  1. Lobna Nassar
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  2. Fakhri Karray
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  3. Mohamed S. Kamel
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Correspondence to Lobna Nassar.

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Nassar, L., Karray, F. & Kamel, M.S. VANET IR-CAS for Commercial SA: Information Retrieval Context Aware System for VANET Commercial Service Announcement. Int. J. ITS Res. 13, 37–49 (2015). https://doi.org/10.1007/s13177-014-0078-z

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  • DOI: https://doi.org/10.1007/s13177-014-0078-z

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