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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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27th International Conference on Software Engineering and Knowledge Engineering (SEKE2015) |
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Tipo de participación
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960 |
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Lugar del congreso
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Pittsburg, Philadelphia, EEUU |
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Revisores
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Si |
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ISBN o ISSN
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1-891706-35-7 |
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DOI
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Fecha inicio congreso
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06/07/2015 |
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Fecha fin congreso
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08/07/2015 |
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Desde la página
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646 |
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Hasta la página
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651 |
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Título de las actas
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27th International Conference on Software Engineering and Knowledge Engineering (SEKE2015) |