Ontology-Based Multi-Agent Systems

  • Maja Hadzic
  • Pornpit Wongthongtham
  • Tharam Dillon
  • Elizabeth Chang

Part of the Studies in Computational Intelligence book series (SCI, volume 219)

Table of contents

  1. Front Matter
  2. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 1-13
  3. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 15-35
  4. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 37-60
  5. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 61-74
  6. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 75-91
  7. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 93-110
  8. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 111-126
  9. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 127-142
  10. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 143-163
  11. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 165-177
  12. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 179-216
  13. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 217-270
  14. Maja Hadzic, Pornpit Wongthongtham, Tharam Dillon, Elizabeth Chang
    Pages 271-273

About this book

Introduction

The Semantic web has given a great deal of impetus to the development of ontologies and multi-agent systems. Several books have appeared which discuss the development of ontologies or of multi-agent systems separately on their own. The growing interaction between agnets and ontologies has highlighted the need for integrated development of these. This book is unique in being the first to provide an integrated treatment of the modeling, design and implementation of such combined ontology/multi-agent systems. It provides clear exposition of this integrated modeling and design methodology. It further illustrates this with two detailed case studies in (a) the biomedical area and (b) the software engineering area. The book is, therefore, of interest to researchers, graduate students and practitioners in the semantic web and web science area.

Keywords

Computational Intelligence Ontologies and Agents Semantic Web agents architecture computer-assisted surgery knowledge modeling multi-agent system ontology

Authors and affiliations

  • Maja Hadzic
    • 1
  • Pornpit Wongthongtham
    • 1
  • Tharam Dillon
    • 1
  • Elizabeth Chang
    • 1
  1. 1.Digital Ecosystems and Business Intelligence InstitutePerthAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01904-3
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-01903-6
  • Online ISBN 978-3-642-01904-3
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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