Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Towards the Anonymisation of RDF Data
Year:2015
Research Areas
  • Computer systems
Information
Abstract
Privacy protection in published data sets is of crucial importance, and anonymisation is one well-known technique for privacy protection that has been successfully used in practice. However, existing anonymisation frameworks have in mind specific data structures (i.e., tabular data) and, because of this, these frameworks are difficult to apply in the case of RDF data. This paper presents an RDF anonymisation framework that has been developed to address the particularities of the RDF specification. Such framework includes an anonymisation model for RDF data, a set of anonymisation operations for the implementation of such model, and a metric for measuring precision and distortion of anonymised RDF data. Furthermore, this paper presents a use case of the proposed RDF anonymisation framework.
International
Si
Congress
27th International Conference on Software Engineering and Knowledge Engineering (SEKE2015)
960
Place
Pittsburg, Philadelphia, EEUU
Reviewers
Si
ISBN/ISSN
1-891706-35-7
Start Date
06/07/2015
End Date
08/07/2015
From page
646
To page
651
27th International Conference on Software Engineering and Knowledge Engineering (SEKE2015)
Participants
  • Autor: Filip Radulovic . (UPM)
  • Autor: Raul Garcia Castro (UPM)
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)