Document Type

Journal Article

Department/Unit

Department of Computer Science

Title

Access control on semantic web data using query rewriting

Language

English

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.

Publication Date

2010

Source Publication Title

International Journal of Organizational and Collective Intelligence

Volume

1

Issue

2

Start Page

Article 3

Publisher

IGI Global

Peer Reviewed

1

Funder

This work is partially supported by HKBU Faculty Research Grant (FRG/07-08/II-75).

DOI

10.4018/joci.2010040103

Link to Publisher's Edition

http://dx.doi.org/10.4018/joci.2010040103

ISSN (print)

19479344

ISSN (electronic)

19479352

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