Semantically enhanced enforcement of mobile consumer's privacy preferences

Mahmoud Youssef, Nabil R. Adam, Vijayalakshmi Atluri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


In such applications as location-based advertising, merchants use consumers' information to send them personalized advertisements. These applications provide convenience to consumers and competitive advantage to merchants. However, the improper use of consumers' information presents a serious threat to their privacy. It is also important to observe that among the motives for the consumers to accept advertisements is the incentive offered by the merchant. Therefore, such incentive should become a criterion upon which consumers decide to grant or deny access to their information. We propose modeling mobile consumer preferences including incentive-related preferences in an ontology using the Ontology Web Language (OWL) and enforcing these preferences using reasoning techniques. We present modeling of consumer preferences and merchant queries in that ontology and describe how to match them. Moreover, we present a prototype implementation and an evaluation study that shows that query size is more significant than the ontology size.

Original languageEnglish (US)
Title of host publicationApplied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Print)1595931082, 9781595931085
StatePublished - 2006
Event2006 ACM Symposium on Applied Computing - Dijon, France
Duration: Apr 23 2006Apr 27 2006

Publication series

NameProceedings of the ACM Symposium on Applied Computing


Other2006 ACM Symposium on Applied Computing

All Science Journal Classification (ASJC) codes

  • Software


  • Incentive
  • Mobile Consumer
  • Privacy
  • Semantic Enforcement


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