Intelligent Support for Exploration of Data Graphs
Intelligent Support for Exploration of Data Graphs Marwan Ahmad Talal Al-Tawil Submitted in accordance with the requirements for the degree of Doctor of Philosophy The University of Leeds School of Computing October, 2017 - ii - Dedication To my family - iii - Declaration The candidate confirms that the work submitted is his/her own, except where work which has formed part of jointly-authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly indicated below. The candidate confirms that appropriate credit has been given within the thesis where reference has been made to the work of others. Some of the work in this thesis has been published prior to thesis submission. The exploratory user study in Chapter 3 has been presented in: Al-Tawil, M., Thakker, D., Dimitrova, V.: Nudging to Expand User’s Domain Knowledge while Exploring Linked Data. In: Proceedings of Intelligent Exploration of Semantic Data @ International Semantic Web Conference (2014). The KADG algorithms in Chapter 4 have been presented in: Al-Tawil, M., Dimitrova, V., Thakker, D., Bennett, B.: Identifying Knowledge Anchors in a Data Graph. In: Proceedings of the 27th ACM Conference on Hypertext and Social Media (2016). Part of research description in Chapters 1 and 3 has been described in: Al-Tawil, M.: Intelligent Nudging to Support Interactive Exploration of Big Data Graphs, in: HT 2016 – Doctoral Consortium. 27th ACM Conf. In Hypertext and Social. Media (2016). Part of the work for identifying KADG in L4All in Chapter 4 has been presented in: Poulovassilis, A., Al-Tawil, M., Frosini, R., Dimartino, M., Dimitrova, V.: Combining Flexible Queries and Knowledge Anchors to facilitate the exploration of Knowledge Graphs.
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