Economics at your fingertips  

Access Control on Semantic Web Data Using Query Rewriting

Jian Li and William K. Cheung
Additional contact information
Jian Li: Hong Kong Baptist University, China
William K. Cheung: Hong Kong Baptist University, China

International Journal of Organizational and Collective Intelligence (IJOCI), 2010, vol. 1, issue 2, 46-66

Abstract: Semantic Web technologies allow on-line resources to be semantically annotated to support more effective and intelligent online services. However, ontologies sometimes may contain sensitive information. Providing access to them requires proper control to ensure the data protection requirement. Yet, the protection should not be too restrictive to make the access management inflexible. While there has been recent work on policy-based access control, in this paper, the authors present a policy representation specifically for access control on ontology-based data and explain how issues like policy propagation and policy conflict resolution are addressed. The authors present bucket-based query rewriting algorithms for realizing the access control policies to avoid sensitive resources leakage in the context of the Semantic Web. The authors validate the correctness of the proposed mechanisms by going through some illustrative examples in detail.

Date: 2010
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link) ... 4018/joci.2010040103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in International Journal of Organizational and Collective Intelligence (IJOCI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

Page updated 2019-11-24
Handle: RePEc:igg:joci00:v:1:y:2010:i:2:p:46-66