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 increasing demand for information exchange between organisations, as well as by regulations in domains such as health care and governance that require certain data to be published. In this setting, sensitive information is at high risk of disclosure since published data can be often seamlessly linked with arbitrary external data sources. In this paper we lay the logical foundations of anonymisation in the context of Li...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

Actions


Access Document


Publisher copy:
10.1613/jair.1.11355

Authors


Kostylev, EV More by this author
Publisher:
AI Access Foundation Publisher's website
Journal:
Journal of Artificial Intelligence Research Journal website
Publication date:
2019-02-19
Acceptance date:
2019-01-11
DOI:
EISSN:
1943-5037
ISSN:
1076-9757
Pubs id:
pubs:967925
URN:
uri:a00ced10-8701-4d31-85df-4f73146f2ab2
UUID:
uuid:a00ced10-8701-4d31-85df-4f73146f2ab2
Local pid:
pubs:967925
Keywords:

Terms of use


Metrics



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

TO TOP