Articles producció científica> Enginyeria Informàtica i Matemàtiques

Semantic disclosure control: semantics meets data privacy

  • Identification data

    Identifier: imarina:5131993
  • Authors:

    Batet, Montserrat
    Sanchez, David
    Online Information Review
    10.1108/OIR-03-2017-0090
    Online Information Review. 42 (3): 290-303
  • Others:

    Author, as appears in the article.: Batet, Montserrat; Sanchez, David;
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Batet Sanromà, Montserrat / Sánchez Ruenes, David
    Keywords: Semantics Privacy Personal data protection Knowledge
    Abstract: © 2018, Emerald Publishing Limited. Purpose: To overcome the limitations of purely statistical approaches to data protection, the purpose of this paper is to propose Semantic Disclosure Control (SeDC): an inherently semantic privacy protection paradigm that, by relying on state of the art semantic technologies, rethinks privacy and data protection in terms of the meaning of the data. Design/methodology/approach: The need for data protection mechanisms able to manage data from a semantic perspective is discussed and the limitations of statistical approaches are highlighted. Then, SeDC is presented by detailing how it can be enforced to detect and protect sensitive data. Findings: So far, data privacy has been tackled from a statistical perspective; that is, available solutions focus just on the distribution of the data values. This contrasts with the semantic way by which humans understand and manage (sensitive) data. As a result, current solutions present limitations both in preventing disclosure risks and in preserving the semantics (utility) of the protected data. Practical implications: SeDC captures more general, realistic and intuitive notions of privacy and information disclosure than purely statistical methods. As a result, it is better suited to protect heterogenous and unstructured data, which are the most common in current data release scenarios. Moreover, SeDC preserves the semantics of the protected data better than statistical approaches, which is crucial when using protected data for research. Social implications: Individuals are increasingly aware of the privacy threats that the uncontrolled collection and exploitation of their personal data may produce. In this respect, SeDC offers an intuitive notion of privacy protection that users can easily understand. It also naturally captures the (non-quantitative) privacy notions stated in current legislations on personal data protection. Originality/value: On the contrary to statistical approaches to data protection, SeDC assesses disclosure risks and enforces data protection from a semantic perspective. As a result, it offers more general, intuitive, robust and utility-preserving protection of data, regardless their type and structure.
    Thematic Areas: Library and information sciences Information systems Information science & library science Información y documentación Comunicació i informació Comunicação e informação Computer science, information systems Computer science applications Ciencias sociales Ciência da computação Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: montserrat.batet@urv.cat david.sanchez@urv.cat
    Author identifier: 0000-0001-8174-7592 0000-0001-7275-7887
    Record's date: 2024-07-20
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://www.emerald.com/insight/content/doi/10.1108/OIR-03-2017-0090/full/html
    Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Online Information Review. 42 (3): 290-303
    APA: Batet, Montserrat; Sanchez, David; (2018). Semantic disclosure control: semantics meets data privacy. Online Information Review, 42(3), 290-303. DOI: 10.1108/OIR-03-2017-0090
    Article's DOI: 10.1108/OIR-03-2017-0090
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Computer Science Applications,Computer Science, Information Systems,Information Science & Library Science,Information Systems,Library and Information Sciences
    Semantics
    Privacy
    Personal data protection
    Knowledge
    Library and information sciences
    Information systems
    Information science & library science
    Información y documentación
    Comunicació i informació
    Comunicação e informação
    Computer science, information systems
    Computer science applications
    Ciencias sociales
    Ciência da computação
    Administração pública e de empresas, ciências contábeis e turismo
  • Documents:

  • Cerca a google

    Search to google scholar