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      Adaptive user interfaces for the Semantic Web

      Turner, Emmanuel King
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      Turner, 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/10289/12041
      Permanent Research Commons link: https://hdl.handle.net/10289/12041
      Abstract
      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.
      Date
      2018
      Type
      Thesis
      Degree Name
      Master of Philosophy (MPhil)
      Supervisors
      Hinze, Annika
      Bowen, Judy
      Publisher
      The University of Waikato
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      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.
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      • Higher Degree Theses [1751]
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