Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications

Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications

Zhaohao Sun (University of Ballarat, Australia & Hebei Normal University, China) and John Yearwood (Federation University, Australia)
Indexed In: INSPEC, SCOPUS View 2 More Indices
Release Date: March, 2014|Copyright: © 2014 |Pages: 474
ISBN13: 9781466658844|ISBN10: 1466658843|EISBN13: 9781466658851|DOI: 10.4018/978-1-4666-5884-4


In the current technological world, Web services play an integral role in service computing and social networking services. This is also the case in the traditional FREG (foods, resources, energy, and goods) services because almost all traditional services are replaced fully or partially by Web services.

Handbook of Research on Demand-Driven Web Services: Theory, Technologies, and Applications presents comprehensive and in-depth studies that reveal the cutting-edge theories, technologies, methodologies, and applications of demand-driven Web, mobile, and e-business services. This book provides critical perspectives for researchers and practitioners, lecturers and undergraduate/graduate students, and professionals in the fields of computing, business, service, management, and government, as well as a variety of readers from all the social strata.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Cloud Services
  • E-Business Services
  • E-FREG Services
  • Emergent AI-Based Technologies
  • Fuzzy Logic Systems
  • Multi-Agent Systems Techniques
  • Neural Networks Systems

Reviews and Testimonials

Contributors largely in information and computer science, but also in a number of other disciplines, explore the theory of demand; various demands from governments, communities, organizations and individuals; and various demand-driven Web services. Among the topics are marketing theories to model business Web service procurement behavior, designing Web services for mobile monitoring and access to measurements, secure network solutions for enterprise cloud services, a demand-driven cloud-based business intelligence for healthcare decision making, and and Delta State University in Nigeria as a case study of electronic business in education.

– ProtoView Book Abstracts (formerly Book News, Inc.)

Table of Contents and List of Contributors

Search this Book:

Author(s)/Editor(s) Biography

Zhaohao Sun is currently a senior lecturer in Information Systems at the School of Science, Information technology and Engineering, University of Ballarat, Australia, and adjunct professor of Hebei Normal University, China. He worked as a full professor of computer science and technology and the head of the School of Computer Science and Technology at Hebei Normal University, China, for two years. Dr. Sun previously held academic positions also at Hebei University, RWTH Aachen, TU Cottbus, Bond University, University of Wollongong, and other universities. He has 4 books and over 110 refereed publications of journals, book chapters, and conference proceedings. His current research interests include intelligent information systems, e-commerce, Web services, case-based/experience-based reasoning, multiagent systems, Web intelligence, service computing. He is a PC member for dozens of international conferences, and a reviewer for many international journals. He is an associate editor of Journal of Intelligent and Fuzzy Systems. He is a senior member of ACS, a member of the AIS and the IEEE.
John Yearwood is Professor and Dean of School of Science, Information Technology, and Engineering, University of Ballarat, Australia. His research spans areas of pattern recognition, argumentation, reasoning, decision support, Web services, and their applications. He has been chief investigator on a number of ARC projects in these areas. His work has involved the development of new algorithms and approaches to classification based on modern non-smooth optimization techniques, new frameworks for structured reasoning, and their application in decision support and knowledge modelling. Some important outcomes relate to the use of text categorization techniques for detecting drugs responsible for adverse reactions. He is currently an ARC research fellow working in the area of argumentation and narrative structures. He is an associate editor for the Journal of Research and Practice in Information Technology. He has over 210 refereed journal and conference publications.