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Measuring and Analysing the Use of Ontologies

A Semantic Framework for Measuring Ontology Usage

  • Jamshaid Ashraf
  • Omar K. Hussain
  • Farookh Khadeer Hussain
  • Elizabeth J. Chang

Part of the Studies in Computational Intelligence book series (SCI, volume 767)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 1-21
  3. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 23-47
  4. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 49-62
  5. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 63-101
  6. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 103-140
  7. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 141-169
  8. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 171-203
  9. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 205-242
  10. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 243-268
  11. Jamshaid Ashraf, Omar K. Hussain, Farookh Khadeer Hussain, Elizabeth J. Chang
    Pages 269-271
  12. Back Matter
    Pages 273-288

About this book

Introduction

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.

Keywords

Computational Intelligence Feedback Loop to Ontology Lifecycle Model Ontology Ontology Usage Ontology Usage Analysis Usage Based Feedback Loop

Authors and affiliations

  • Jamshaid Ashraf
    • 1
  • Omar K. Hussain
    • 2
  • Farookh Khadeer Hussain
    • 3
  • Elizabeth J. Chang
    • 4
  1. 1.Digital Processing System (DPS)SalmiyaKuwait
  2. 2.School of BusinessUniversity of New South WalesCanberraAustralia
  3. 3.Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, School of SoftwareUniversity of Technology SydneySydneyAustralia
  4. 4.School of BusinessUniversity of New South WalesCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-75681-3
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-75679-0
  • Online ISBN 978-3-319-75681-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site
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