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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 ...
  • A Jigsaw Puzzle Metaphor for Representing Linked Data Mappings 

    CROTTI JUNIOR, ADEMAR (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)
    This thesis presents a visual representation approach for Linked Data mappings known as Jigsaw Puzzles for Representing Mappings, or Juma. The term Linked Data refers to a set of best practices for publishing and interlinking ...
  • NAISC-L: A Linked Data Interlinking Framework for Libraries, Archives and Museums 

    MCKENNA, LUCY MARY (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)
    This thesis presents a framework for Novel Authoritative Interlinking for Semantic Web Cataloguing in Libraries - or NAISC-L (pronounced noshk-el). The Semantic Web (SW) is an extension of the current Web where data is ...
  • Quality Improvement in the Mapping Process required for Linked Data publication 

    Randles, Alex (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)
    This thesis presents a quality improvement approach named the Mapping Quality Improvement (MQI) Framework designed to improve and maintain quality in the publication process involved in the creation of linked data. Linked ...
  • 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 ...