WestminsterResearch http://www.westminster.ac.uk/westminsterresearch Semantic Selection of Internet Sources through SWRL Enabled OWL Ontologies Almarri, H. This is an electronic version of a PhD thesis awarded by the University of Westminster. © Miss Hamda Almarri, 2017. The WestminsterResearch online digital archive at the University of Westminster aims to make the research output of the University available to a wider audience. Copyright and Moral Rights remain with the authors and/or copyright owners. Whilst further distribution of specific materials from within this archive is forbidden, you may freely distribute the URL of WestminsterResearch: ((http://westminsterresearch.wmin.ac.uk/). In case of abuse or copyright appearing without permission e-mail
[email protected] Semantic Selection of Internet Sources through SWRL Enabled OWL Ontologies Hamda Mohammad O. S. Binghubash Almarri University of Westminster June 2017 A thesis submitted in partial fulfilment of the requirements of the University of Westminster for the degree of Doctor of Philosophy ABSTRACT This research examines the problem of Information Overload (IO) and give an overview of various attempts to resolve it. Furthermore, argue that instead of fighting IO, it is advisable to start learning how to live with it. It is unlikely that in modern information age, where users are producer and consumer of information, the amount of data and information generated would decrease. Furthermore, when managing IO, users are confined to the algorithms and policies of commercial Search Engines and Recommender Systems (RSs), which create results that also add to IO. this research calls to initiate a change in thinking: this by giving greater power to users when addressing the relevance and accuracy of internet searches, which helps in IO.