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Source 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, datasources often contain sensitive information that the data owners want to keep inaccessible to users. In this paper, we formalize and study the problem of determining whether a given data integration system discloses a source query to an attacker. We consider disclosure on a particular dataset, and also wh...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Oxford college:
University College
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Royal Society More from this funder
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Grant:
PDQ (EP/M005852/1
DBonto (EP/L012138/1), ED3 (EP/N014359/1)
Publisher:
Association for the Advancement of Artificial Intelligence Publisher's website
Journal:
Thirty-First AAAI Conference on Artificial Intelligence Journal website
Host title:
AAAI-17: Thirty-First AAAI Conference on Artificial Intelligence
Publication date:
2017-02-12
Acceptance date:
2016-11-18
Source identifiers:
663697
Pubs id:
pubs:663697
UUID:
uuid:670b5f6b-ed9b-4828-85e4-95f1d888851c
Local pid:
pubs:663697
Deposit date:
2016-12-02

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