Overview
- Presents recent research on measuring and analyzing the use of ontologies
- Evaluates and measures the use of ontologies on the Web
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 767)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders. Where possible it improves and reuses terms in existing vocabularies/ontologies, as recommended by the Linked Data community. Recent advances in the Semantic Web have led to a proliferation of Resource Description Framework (RDF) data, which employ ontologies to semantically describe the information on the Web making it equally understandable for both humans and machines. However, to create a network effect, it is important that selective ontologies are used by more data publishers to improve the value of that ontology. For this to happen, it is vital to discover what is being used from an ontology to semantically annotate the information on the Web specific to a given domain. Answers to such basic but crucial questions can only be achieved by ascertaining how ontologies in the current semantic web are being utilized and adopted. The proposed frameworks to obtain such insights are explained with real-world examples to provide a clear and detailed description of ontology usage analysis.
Both theoretical and practical, the book is of value to academics and professionals working in industry. Specifically, it is of primary interest to researchers, graduate students and practitioners in the area of the Semantic Web and its various real-world applications.
Authors and Affiliations
Bibliographic Information
Book Title: Measuring and Analysing the Use of Ontologies
Book Subtitle: A Semantic Framework for Measuring Ontology Usage
Authors: Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-75681-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-75679-0Published: 03 April 2018
Softcover ISBN: 978-3-030-09296-2Published: 30 January 2019
eBook ISBN: 978-3-319-75681-3Published: 16 March 2018
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXIX, 288
Number of Illustrations: 19 b/w illustrations, 88 illustrations in colour