Computer Science: Recent submissions

Now showing items 461-480 of 2149

    • Exploring Linked Data For The Automatic Enrichment of Historical Archives 

      PANDIT, HARSHVARDHAN JITENDRA; Munnelly, Gary; Lawless, Séamus (2018)
      With the increasing scale of online cultural heritage collections, the efforts of manually adding annotations to their contents become a challenging and costly endeavour. Entity Linking is a process used to automatically ...

    • 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 ...

    • Ease and Ethics of User Profiling in Black Mirror 

      PANDIT, HARSHVARDHAN JITENDRA; Lewis, David (2018)
      The use of personal data is a double-edged sword that on one side provides benefits through personalisation and user profiling, while the other raises several ethical and moral implications that impede technological progress. ...

    • A model for contextual data sharing in smartphone applications 

      PANDIT, HARSHVARDHAN JITENDRA; O'Riordan, Adrian (2016)
      Purpose - The purpose of this paper is to introduce a model for identi- fying, storing, and sharing contextual information across smartphone apps that uses the native device services. We present the idea of using user ...

    • 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 ...

    • Towards Generating Policy-compliant Datasets 

      O'Sullivan, Declan; Debruyne, Christophe; Lewis, David (IEEE Computer Society, 2019)
      The development of intelligent (e.g., AI-based) applications increasingly requires governance models and processes, as financial legal sanctions are more and more being associated with violation of policies. We propose ...

    • Test-driven Approach Towards GDPR Compliance 

      Lewis, David; O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA (2019)
      An organisation using personal data should document its data governance processes to maintain and demonstrate compliance with the General Data Protection Regulation (GDPR). As processes evolve, their documentation should ...

    • 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 ...

    • Personalised Privacy Policies 

      O'Sullivan, Declan; Lewis, David; Pandit, Harshvardhan (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 ...

    • Discussing ethical impacts in research and innovation: The ethics canvas 

      Lewis, David; Pandit, Harshvardhan (2018)
      Technologies are increasingly intertwined with people’s daily lives. Consequently, there is an increasing need to consider the ethical impacts that research and innovation (R&I) processes, both in commercial and non-commercial ...

    • 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 ...

    • An ontology design pattern for describing personal data in privacy policies 

      Lewis, David; O'Sullivan, Declan; PANDIT, HARSHVARDHAN JITENDRA (2018)
      Privacy laws such as the General Data Protection Regulation (GDPR) specify several obligations involving personal data. A privacy policy is a document that provides information for legal compliance on how personal data ...

    • Achieving Low Delay & High Rate in 802.11ac Edge Networks 

      HASSANI, HAMID (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
      Provision of connections with low end-to-end latency is one of the most challenging requirements in 5G. In most use cases the target is for < 100ms latency, while for some applications it is < 10ms. In part, this reflects ...

    • 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 ...

    • Towards an open data vocabulary for canvas driven innovation ethics 

      Lewis, David; PANDIT, HARSHVARDHAN JITENDRA; Devinney, Hannah; Reijers, Wessel (2018)
      Discussing the role of ethics in Research & Innovation is an important aspect of the technological progress we make today, and therefore contributes to sustainable development goal on industry and innovation. In this ...

    • Privacy-Aware Incentivisation for Participatory Sensing 

      CONNOLLY, MARTIN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
      Participatory sensing is a paradigm through which mobile device users (or participants) collect and share data about their environments. The data captured by participants is typically submitted to an intermediary (the ...

    • Full PON Virtulisation Supporting Multi-Tenancy Beyond 5G. 

      Ruffini, Marco (2019)
      In this paper, we introduce a virtualization technique to enable fully customizable resource sharing for Passive Optical Networks. We provide a summary of the concept, economic challenges and implementation.

    • Capacity sharing approaches in multi-tenant, multi-service PONs for low-latency fronthaul applications based on cooperative-DBA 

      Ruffini, Marco (2020)
      We propose and compare algorithms to allocate upstream PON capacity, where multiple virtual operators generate independent frame-level allocation over shared infrastructure. Our fragmentation-based approach shows the ...

    • PON Virtualisation with EAST-WEST Communications for Low-Latency Converged Multi-Access Edge Computing (MEC) 

      Ruffini, Marco (2020)
      We propose a virtual-PON based Mobile Fronthaul (MFH) architecture that allows direct communications between edge points (enabling EAST-WEST communication). Dynamic slicing improves service multiplexing while supporting ...