Hinze, AnnikaBowen, JudyTurner, Emmanuel King2018-08-282018-08-282018Turner, E. K. (2018). Adaptive user interfaces for the Semantic Web (Thesis, Master of Philosophy (MPhil)). The University of Waikato, Hamilton, New Zealand. Retrieved from https://hdl.handle.net/10289/12041https://hdl.handle.net/10289/12041The Semantic Web aims to democratise data by making data open, shareable and recombinable (Berners-Lee, Hendler, & Lassila, 2001). To achieve these characteristics, Semantic Web data, different to data on the web, is structured. However, unlike traditional databases, the structure of Semantic Web data does not have to follow a single predefined schema. we believe that approaches for building user interfaces for data with a known structure are inadequate for the Semantic Web. In this thesis, we propose an adaptive user interface that categorises the Semantic Web data into groups and orders data according to user preference. Placing similar data items close together may make it easier for users to locate data items.application/pdfenAll items in Research Commons are provided for private study and research purposes and are protected by copyright with all rights reserved unless otherwise indicated.Semantic WebRDFAdaptive User InterfacesHCIThesis2018-07-24