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This book provides the reader with a Terminological ONtology Evaluator (TONE) which is a novel method used to rank and evaluate the candidate domain ontologies based on their coverage and semantic richness of a particular domain of interest. The use of ontologies in eLearning has increased exponentially over the last few years. These ontologies vary in the level of details captured about the educational courses. Several researchers proposed tools which use ontologies in formative assessment to help teachers auto-generate assessment questions and formative feedback. With this boom in popularity has also come a rise in the need for evaluating the ontologies used in the generation process, and very little academic literature exists on how to best evaluate the ontologies used in eLearning. This book provides the reader with an in-depth review of existing ontology evaluation approaches and presents TONE for evaluating the candidate ontologies in eLearning. Details of TONE and thorough experimental studies are given. TONE could be useful to professionals in ontology and eLearning fields, or anyone else who may be considering utilising ontologies in a particular domain of interest.
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Dr Mona Nabil Demaidi holds a BSc degree (Hons.) in Computer Engineering. MSc (distinction) in advanced software engineering from the University of Manchester, and PhD degree from the University of Manchester and Birmingham City, the UK. Currently, she is an assistant professor in the Computer Engineering department at An-Najah National University.
