Logical foundations of information disclosure in ontology-based data integration

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...

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Bibliographic Details
Main Authors: Benedikt, M, Cuenca Grau, B, Kostylev, E
Format: Journal article
Published: Elsevier 2018
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author Benedikt, M
Cuenca Grau, B
Kostylev, E
author_facet Benedikt, M
Cuenca Grau, B
Kostylev, E
author_sort Benedikt, M
collection OXFORD
description 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 satisfy before it is made available to users for querying, as well as on the computational complexity of checking whether such requirements are fulfilled. In particular, we formalise 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 whether a schema admits a dataset on which disclosure occurs. We provide matching lower and upper complexity bounds on disclosure analysis, in the process introducing a number of techniques for analysing logical privacy issues in ontology-based data integration.
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spelling oxford-uuid:ef4abe40-d49f-4e67-b160-1c8d434babfe2022-03-27T11:39:08ZLogical foundations of information disclosure in ontology-based data integrationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ef4abe40-d49f-4e67-b160-1c8d434babfeSymplectic Elements at OxfordElsevier2018Benedikt, MCuenca Grau, BKostylev, EOntology-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 satisfy before it is made available to users for querying, as well as on the computational complexity of checking whether such requirements are fulfilled. In particular, we formalise 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 whether a schema admits a dataset on which disclosure occurs. We provide matching lower and upper complexity bounds on disclosure analysis, in the process introducing a number of techniques for analysing logical privacy issues in ontology-based data integration.
spellingShingle Benedikt, M
Cuenca Grau, B
Kostylev, E
Logical foundations of information disclosure in ontology-based data integration
title Logical foundations of information disclosure in ontology-based data integration
title_full Logical foundations of information disclosure in ontology-based data integration
title_fullStr Logical foundations of information disclosure in ontology-based data integration
title_full_unstemmed Logical foundations of information disclosure in ontology-based data integration
title_short Logical foundations of information disclosure in ontology-based data integration
title_sort logical foundations of information disclosure in ontology based data integration
work_keys_str_mv AT benediktm logicalfoundationsofinformationdisclosureinontologybaseddataintegration
AT cuencagraub logicalfoundationsofinformationdisclosureinontologybaseddataintegration
AT kostyleve logicalfoundationsofinformationdisclosureinontologybaseddataintegration