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  • Towards Cataloguing Potential Derivations of Personal Data 

    PANDIT, HARSHVARDHAN JITENDRA; Debruyne, Christophe; Fernández, Javier D.; Polleres, Axel (2019)
    The General Data Protection Regulation (GDPR) has estab- lished transparency and accountability in the context of personal data usage and collection.While its obligations clearly apply to data explicitly obtained from ...
  • Towards Knowledge-based Systems for GDPR Compliance 

    O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (2018)
    Legal compliance is traditionally seen to be sufficiently demonstrable using legal documents that describe how various operations and activities follow a given set of obligations. The General Data Protection Regulation ...
  • The Use of Open Data to Improve the Repeatability of Adaptivity and Personalisation Experiment 

    Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (2016)
    Reproducibility of results is a key element for the verification of scientific experiments and an important indicator of the quality of a published experiment. It is vital therefore to precisely and transparently share ...
  • Using Ontology Design Patterns to Define SHACL Shapes 

    O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (CEUR-WS, 2018)
    SHACL shapes used for validation are not related to the axioms used in ontologies used to define the instances. One of the issues with using such axioms is their dependence on concepts which may not be used within the ...
  • Utilising Semantic Web Ontologies To Publish Experimental Workflows 

    Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (2017)
    Reproducibility in experiments is necessary to verify claims and to reuse prior work in experiments that advance research. However, the traditional model of publication validates research claims through peer-review ...