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Adaptive user interfaces for the Semantic Web

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.
Type
Thesis
Type of thesis
Series
Citation
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
Date
2018
Publisher
The University of Waikato
Rights
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