Autor según el artículo: Martinez, Sergio; Sanchez, David; Valls, Aida;
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Martinez Lluis, Sergio / Sánchez Ruenes, David / Valls Mateu, Aïda
Palabras clave: Semantic similarity Record linkage Privacy protection Ontologies Disclosure risk
Resumen: Record linkage methods evaluate the disclosure risk of revealing confidential information in anonymized datasets that are publicly distributed. Concretely, they measure the capacity of an intruder to link records in the original dataset with those in the masked one. In the past, masking and record linkage methods have been developed focused on numerical or ordinal data. Recently, motivated by the proliferation of textual information, some authors have proposed masking methods to anonymize textual data. Textual attributes should be interpreted according to their semantics, which makes them more difficult to manage and compare than numerical data. In this paper, we propose a new record linkage method specially tailored to accurately evaluate their disclosure risk. Our method, named Semantic Record Linkage, relies on the theory of semantic similarity and uses widely available ontologies to interpret the semantics of data and propose coherent record linkages. Test performed over a real dataset shows that a semantic record linkage method evaluates better the disclosure risk when compared with a non-semantic approach.
Áreas temáticas: Theoretical computer science Software Information systems Engenharias iv Engenharias iii Engenharias i Computer science, artificial intelligence Computational theory and mathematics Ciência da computação Automation & control systems
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: sergio.martinezl@urv.cat aida.valls@urv.cat david.sanchez@urv.cat
Identificador del autor: 0000-0002-3941-5348 0000-0003-3616-7809 0000-0001-7275-7887
Fecha de alta del registro: 2023-05-20
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: http://www.ijicic.org/contents.htm
Referencia al articulo segun fuente origial: International Journal Of Innovative Computing, Information And Control. 8 (7A): 4869-4882
Referencia de l'ítem segons les normes APA: Martinez, Sergio; Sanchez, David; Valls, Aida; (2012). EVALUATION OF THE DISCLOSURE RISK OF MASKING METHODS DEALING WITH TEXTUAL ATTRIBUTES. International Journal Of Innovative Computing, Information And Control, 8(7A), 4869-4882
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2012
Tipo de publicación: Journal Publications
Repositori URV