Browsing Trinity College Dublin, the University of Dublin: Theses & Dissertations by Sponsor "ADAPT Centre"

Now showing items 1-5 of 5

    • 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 ...

    • Deep Interactive Image Matting 

      Forte, Marco (Trinity College Dublin. School of Engineering. Discipline of Electronic & Elect. Engineering, 2022)
      Image Matting for Compositing is the cutting of an object from an image for background replacement. It is an interactive process fundamental to image editing. Useful matting algorithms both reduce the amount of interaction ...

    • Quantification of Mutual Understanding in Task-Based Human-Human Interactions 

      Reverdy, Justine (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)
      This thesis explores the quantification of mutual understanding in task-based interactions by observing the relation between patterns of repetitions and measures of communicative success. Two important characteristics of ...

    • 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 ...

    • Strings for Temporal Annotation and Semantic Representation of Events 

      Woods, David Adam (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2022)
      This work describes the use of strings as models for the representation of temporal data---that is, events and times, and their linear ordering and temporal inter-relations---to form the basis of a framework for reasoning ...