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Author Ashraf, Jamshaid, author

Title Measuring and Analysing the Use of Ontologies : a Semantic Framework for Measuring Ontology Usage / by Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
Published Cham : Springer International Publishing : Imprint : Springer, 2018
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Description 1 online resource (XXIX, 288 pages 107 illustrations, 88 illustrations in color.) : online resource
Series Studies in Computational Intelligence, 1860-949X ; 767
Studies in computational intelligence ; 767. 1860-949X
Contents Motivation -- Closing the Loop: Placing Ontology Usage Analysis in the Ontology Development and Deployment Lifecycle -- Ontology Usage Analysis Framework (OUSAF) -- Identification Phase : Ontology Usage Network Analysis Framework (OUN-AF) -- Investigation Phase: Empirical Analysis of Domain Ontology Usage (EMP-AF)
Summary 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
Bibliography Includes bibliographical references
Subject Artificial intelligence.
Computational intelligence.
Engineering.
Form Electronic book
Author Chang, Elizabeth J., author
Hussain, Farookh Khadeer, author
Hussain, Omar K., author
ISBN 3319756818
9783319756813