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Logical foundations of information disclosure in ontology-based data integration

Abstract:

Ontology-based data integration systems allow users to effectively access data sitting in multiple sources by means of queries over a global schema described by an ontology. In practice, data sources often contain sensitive information that the data owners want to keep inaccessible to users. Our aim in this paper is to lay the logical foundations of information disclosure in ontology-based data integration. Our focus is on the semantic requirements that a data integration system should satisf...

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

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Publisher copy:
10.1016/j.artint.2018.06.002

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
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Grant:
University Research Fellowship
More from this funder
Grant:
DBonto (EP/L012138/1)
PDQ (EP/M005852/1)
ED3 (EP/N014359/1)
Publisher:
Elsevier Publisher's website
Journal:
Artificial Intelligence Journal website
Volume:
262
Pages:
52–95
Publication date:
2018-06-15
Acceptance date:
2018-06-07
DOI:
ISSN:
0004-3702
Pubs id:
pubs:856908
URN:
uri:ef4abe40-d49f-4e67-b160-1c8d434babfe
UUID:
uuid:ef4abe40-d49f-4e67-b160-1c8d434babfe
Local pid:
pubs:856908

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