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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-01

AUTHORS

Lobna Nassar, Fakhri Karray, Mohamed S. Kamel

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. More... »

PAGES

37-49

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13177-014-0078-z

DOI

http://dx.doi.org/10.1007/s13177-014-0078-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033315688


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