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  • Automatic generation of relational to ontology mapping correspondences 

    MATHUR, SAHIL NAKUL (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)
    This thesis presents Milan, an automatic relational-to-ontology system. Milan automatically generates mapping correspondences from a source relational database (RDB) and a target ontology. It addresses the relational-to-ontology ...
  • Elements of Style Change 

    KLAUSSNER, CARMEN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)
    This thesis considers aspects of stylistic change over time with respect to a corpus of literary authors and corresponding background change for the same period of time. The primary focus of this thesis is the development ...
  • Evaluating the perception of virtual characters by manipulating components of their physical appearance 

    ZIBREK, KATJA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, School of Computer Science, 2017)
    This work explores the possibilities of studying the perception of 3D generated (virtual) based on the knowledge of perceptual organisation and methods used to study human behaviour. Our main intention is to present studies ...
  • Facial Animation Pipeline Optimisation with Blendshape Importance Ordering and Perceptual Metrics 

    CARRIGAN, EMMA VIOLET (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    The quality of realistic virtual human faces has increased in recent years with the availability of new technologies such as photogrammetry systems to scan actors and reproduce their shape and texture digitally with minute ...
  • Monitoring & Predicting QoS in IoT Services 

    WHITE, GARY (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    Internet of Things (IoT) applications can be built from a number of heterogeneous services provided by a range of devices, which are potentially resource constrained and/or mobile. These device characteristics can lead to ...
  • Multimodal engagement level recognition in casual conversition 

    HUANG, YUYUN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)
    Automatic detection of engagement in human-human and human-machine in dyadic and multiparty interaction scenarios is important in evaluating the success of communication. Engagement detection has a wide range of applications ...
  • The Non-invasive Personalisation of Educational Video Games 

    PEIRCE, NEIL (Trinity College Dublin, Trinity College Dublin, 2013)
    Educational video games present a progressive approach to technology enhanced learning that offer intrinsically rewarding experiences, high interactivity, an environment with low-risk of failure, and the freedom and ...
  • Privacy-aware mechanism for location-based social networks 

    QIN, GUOJUN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2018)
    Recently, location-based social networks (LBSNs), such as Foursquare, Facebook, and Plenty of Fish, have attracted millions of users by helping them to build their social contacts and share useful information. LBSNs provide ...
  • The Relo-KT Process for Cross-Disciplinary Knowledge Transfer 

    CLARKE, EMMA LOUISE (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)
    Digital humanities research, by its nature, is collaborative and interdisciplinary. A key aim when undertaking cross-disciplinary research is to integrate insights from two or more distinct disciplines using both formal ...
  • Representing Activities associated with Processing of Personal Data and Consent using Semantic Web for GDPR Compliance 

    PANDIT, HARSHVARDHAN JITENDRA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    The General Data Protection Regulation (GDPR) is a landmark law regarding privacy and data protection. GDPR stipulates potentially large fines if an organisation is found to not be compliant. This has resulted in research ...
  • The SPARQL usage for mapping maintenance and reuse methodology 

    MEEHAN, ALAN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2017)
    This thesis presents the SPARQL Usage for Mapping Maintenance and Reuse (SUMMR) methodology, which is for the support of performing maintenance and reuse of Linked Data mappings. The providers of Linked Data datasets have ...
  • uDiscovery: An Urban-Centric Model for Service Discovery in Smart Cities 

    CABRERA JOJOA, CHRISTIAN HUMBERTO (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    Cities offer services to their citizens to improve their overall quality of life (e.g., education, or health care services) and these services are frequently supported by digital information (e.g., library opening hours ...