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Adaptive user interfaces for the Semantic Web Turner, Emmanuel Hinze, Annika Bowen, Judy The 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. University of Waikato 2018 Thesis en https://hdl.handle.net/10289/12041 https://researchcommons.waikato.ac.nz/bitstreams/2e42f4dd-9d8c-44d2-9130-2b8b5136cfab/download e14202ab27e47ddb00d33097327ba050 https://researchcommons.waikato.ac.nz/bitstreams/490f235d-9f9a-4e3b-b981-e08051774f65/download acb89d054af9dbbbe1516803f9d7b077 https://researchcommons.waikato.ac.nz/bitstreams/715b7cd7-4e0e-4a56-8fcb-1ba4ad6997b4/download d58616b06690d1594372c3ce842a61a1 All 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 Web RDF adaptive user interfaces HCI