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  • Compliance through Informed Consent: Semantic Based Consent Permission and Data Management Model 

    O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA (CEUR-WS, 2017)
    The General Data Protection Regulations (GDPR) imposes greater restrictions on obtaining valid user consents involving the use of personal data. A semantic model of consent can make the concepts of consent explicit, ...
  • Consumer Managed Federated Homes 

    FEENEY, KEVIN; O'SULLIVAN, DECLAN; BRENNAN, ROB (2014)
    There are emerging opportunities for distributed, composite services, based on the combination of smart homes, networked consumer devices, third-party services, and social, geographical or commercial collaborations. However, ...
  • Data linkage in medical science using the resource description framework: the AVERT model 

    O'Sullivan, Declan; Little, Mark; Hederman, Lucy (2018)
    There is an ongoing challenge as to how best manage and understand ‘big data’ in precision medicine settings. This paper describes the potential for a Linked Data approach, using a Resource Description Framework (RDF) ...
  • The Emerging Safety Mindfulness Model: from Concept Definition into Requirements Collection 

    Callari, Tiziana; McDonald, Nick; Baranzini, Daniele; Mattei, Fabio (2017-06-22)
    Advanced by Weick and Sutcliffe at the end of the 90ies, ‘collective mindfulness’ enables an organisation to cope with unpleasant surprises by having the collective mindset necessary to detect, understand and recover them ...
  • An Evaluation of Uplift Mapping Languages 

    O'SULLIVAN, DECLAN; BRENNAN, ROB; DEBRUYNE, CHRISTOPHE; CROTTI JUNIOR, ADEMAR (2017)
  • Explaining Disclosure Decisions Over Personal Data 

    O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA; Gachpaz Hamed, Roghaiyeh (Ramisa); Conlan, Owen (CEUR WS, 2019)
    The use of automated decision making systems to disclose personal data provokes privacy concerns as it is difficult for individuals to understand how and why these decisions are made. This research proposes an approach ...
  • An Exploration of Data Interoperability for GDPR 

    O'Sullivan, Declan; Lewis, David (2018)
    The General Data Protection Regulation (GDPR) specifies obligations that shape the way information is collected, shared, provided, or communicated, and provides rights for receiving a copy of their personal data in an ...
  • Formalising Human Mental Workload as a Defeasible Computational Concept 

    LONGO, LUCA (Trinity College Dublin, 2014)
    Human mental workload has gained importance, in the last few decades, as a fundamental design concept in human-computer interaction. It can be intuitively defined as the amount of mental work necessary for a person to ...
  • GConsent - A Consent Ontology based on the GDPR 

    O'Sullivan, Declan; Lewis, David; Debruyne, Christophe (Springer, 2019)
    Consent is an important legal basis for the processing of personal data under the General Data Protection Regulation (GDPR), which is the current European data protection law. GPDR provides constraints and obligations on ...
  • GDPR-driven Change Detection In Consent And Activity Metadata 

    O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA; Lewis, David (2018)
    This position paper explores changes concerning the relationship between consent and activities in context of the General Data Protection Regulation (GDPR). Detecting and recording such changes with their effects can ...
  • GDPRtEXT - GDPR as a Linked Data Resource 

    O'Sullivan, Declan; Lewis, David (Springer LNCS, 2018)
    The General Data Protection Regulation (GDPR) is the new European data protection law whose compliance affects organisations in several aspects related to the use of consent and personal data. With emerging research and ...
  • Interlinking Heterogeneous Data for Smart Energy Systems 

    O'Sullivan, Declan; Orlandi, Fabrizio; Meehan, Alan; Hossari, Murhaf; Dev, Soumyabrata (2019)
    Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solutions and recent developments in photovoltaic ...
  • Investigating Conditional Data Value Under GDPR 

    O'Sullivan, Declan; Lewis, David; PANDIT, HARSHVARDHAN JITENDRA; Petkov, Plamen (Science Direct, 2018)
    The calculation of data value is based on the assumption of continued presence of information. When the data in consideration concerns personal information, laws such as the European General Data Protection Regulation ...
  • Investigating Entity Linking in Early English Legal Documents 

    Lawless, Seamus (2018)
    In this paper we investigate the accuracy and overall suitability of a variety of Entity Linking systems for the task of disambiguating entities in 17 th century depositions obtained during the 1641 Irish Rebellion. The ...
  • Milan: Automatic Generation of R2RML Mappings 

    O'Sullivan, Declan; Brennan, Rob (2018)
  • Ontology Consistency and Instance Checking for Real World Linked Data 

    FEENEY, KEVIN; BRENNAN, ROB; FEENEY, KEVIN CHEKOV; BRENNAN, ROB (2015)
    Many large ontologies have been created which make use of OWL's expressiveness for speci cation. However, tools to ensure that in- stance data is in compliance with the schema are often not well integrated with triple-stores ...
  • Personalised Privacy Policies 

    O'Sullivan, Declan; Lewis, David (2018)
    Internet services have become an important part of the daily life for a large number of people, and often deal with varying amounts of personal information. A privacy policy is a legal document governed by territorial ...
  • Queryable Provenance Metadata For GDPR Compliance 

    O'Sullivan, Declan; Lewis, David (2018)
    Information associated with regulatory compliance is often siloed as legal documentation that is not suitable for querying or reuse. Utilising open standards and technologies to represent and query this information can ...