Title :
Privacy Ontology Support for E-Commerce
Author :
Hecker, Michael ; Dillon, Tharam S. ; Chang, Elizabeth
Author_Institution :
Curtin Univ. of Technol., Perth
Abstract :
Privacy is becoming increasingly important due to the advent of e-commerce. E-commerce applications frequently require customers to divulge many personal details about themselves that must be protected carefully in accordance with privacy principles and regulations. Here, the authors define a privacy ontology to support the provision of privacy and help derive the level of privacy associated with e-commerce transactions and applications. The privacy ontology provides a framework against which e-commerce sites can benchmark their privacy policies and implementations.
Keywords :
data privacy; electronic commerce; ontologies (artificial intelligence); e-commerce; privacy ontology support; privacy policies; Business; Consumer electronics; Data privacy; Data security; Footwear; Information security; Inhibitors; Ontologies; Protection; Semantic Web; e-commerce; e-commerce applications; ontologies; privacy; privacy ontology; privacy regulations;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2008.41