Journal article icon

Journal article

Logical foundations of linked data anonymisation

Abstract:

The widespread adoption of the Linked Data paradigm has been driven by the increas-ing demand for information exchange between organisations, as well as by regulations indomains such as health care and governance that require certain data to be published. Inthis setting, sensitive information is at high risk of disclosure since published data can beoften seamlessly linked with arbitrary external data sources.In this paper we lay the logical foundations of anonymisation in the context of Link...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1613/jair.1.11355

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Keble College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
Publisher:
AI Access Foundation
Journal:
Journal of Artificial Intelligence Research More from this journal
Volume:
64
Pages:
253-314
Publication date:
2019-02-16
Acceptance date:
2018-12-31
DOI:
ISSN:
1076-9757
Pubs id:
pubs:968824
UUID:
uuid:f7bcd859-cc5e-456f-b3ea-4b999f040a77
Local pid:
pubs:968824
Source identifiers:
968824
Deposit date:
2019-02-05

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP