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Now showing items 1-20 of 38

  • Benchmarking Knowledge-based Context Delivery System 

    O'Sullivan, Declan; Lewis, David (2006)
    As context-aware systems become more widespread and mobile there is an increasing need for a common distributed event platform for gathering context information and delivering to context-aware applications. The likely ...
  • 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, ...
  • 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) ...
  • Enhancing Rare Disease Research with Semantic Integration of Environmental and Health Data 

    Navarro Gallinad, Albert; Orlandi, Fabrizio; O'Sullivan, Declan (ACM, 2021)
    Knowledge Graph (KG) approaches are increasingly being used for data integration processes to combine clinical data with other data sources. Health Data Researchers (HDR) could benefit from these technologies since they ...
  • Evaluating the usability of a semantic environmental health data framework: approach and study 

    Navarro-Gallinad, Albert; Orlandi, Fabrizio; Scott, Jennifer; Little, Mark; O'Sullivan, Declan (IOS Press, 2022)
    Environmental exposures transported across air, land and water can affect our health making us more susceptible to developing a disease. Therefore, researchers need to face the complex task of integrating environmental ...
  • 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 ...
  • Exploring GDPR compliance over provenance graphs using SHACL 

    Lewis, David; O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA (2018)
    Semantic web technologies provide an open and adaptable framework for compliance regarding the General Data Protection Reg- ulation (GDPR). Our previous work in this regard demonstrates the use of SPARQL for querying ...
  • Extracting provenance metadata from privacy policies 

    Lewis, David; O'Sullivan, Declan (Springer, 2018)
    Privacy policies are legal documents that describe activities over personal data such as its collection, usage, processing, sharing, and storage. Expressing this information as provenance metadata can aid in legal ...
  • 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 Data Interoperability Model 

    PANDIT, HARSHVARDHAN JITENDRA; Lewis, David; O'Sullivan, Declan (2018)
    Laws such as the General Data Protection Regulation (GDPR) specify information to be shared, provided, or communicated between entities as part of its operation and compliance. Its compliance additionally requires provision ...
  • 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 ...
  • An Interactive Context Simulator for Rapid Evaluation of Smart Building Applications using Virtual Reality 

    Mc Glinn, Kristian; Lewis, David; O'Sullivan, Declan; Brennan, Rob (2011)
    This paper describes the SimCon (Simulated Context) Generator which combines data on the state of a Virtual Reality building with the SimCon Model to generate interactive location context for the rapid evaluation of Smart ...
  • 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 ...
  • Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloud. 

    Debattista, Jeremy; Attard, Judie; Brennan, Rob; O'Sullivan, Declan (2019)
    The Linked Open Data (LOD) cloud has been around since 2007. Throughout the years, this prominent depiction served as the epitome for Linked Data and acted as a starting point for many. In this article we perform a number ...
  • ?Just-in-time? generation of datasets by considering structured representations of given consent for GDPR compliance 

    Debruyne, Christophe; Lewis, David; O'Sullivan, Declan (2020)
    Data processing is increasingly becoming the subject of various policies and regulations, such as the European General Data Protection Regulation (GDPR) that came into effect in May 2018. One important aspect of GDPR is ...
  • Knowledge Delivery Mechanism for Autonomic Overlay Network Management 

    O'Sullivan, Declan; Lewis, David (IEEE, 2009)
    The complexity of current computing networks and the required fluidity of their operation requires autonomy to be central to the design and implementation of a managed overlay network. This paper presents a system in which ...
  • Managing adaptive pervasive computing using knowledge-based service integration and rule-based behavior 

    Wade, Vincent; Conlan, Owen; O'Sullivan, Declan; Lewis, David (2004)
    Managing adaptive pervasive computing using knowledge-based service integration and rule-based behavior