Home > Archive > 2011 > Volume 1 Number 2 (Jun. 2011) >
IJMLC 2011 Vol.1(2):199-204 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2011.V1.29

Web Services: Themes, Concepts and Relationships

Chiu-Chuan Lin, Yender McLee, Jen-Hwa Kuo

Abstract—To explore the intellectual structure of web services research in the last eight years, this study identified the most important publications and the most influential scholars as well as the correlations among these scholar’s publications. In this study, bibliometric, social network and tag clouds analysis techniques are used to investigate the intellectual pillars of the web services literature. By analyzing 22,785 citations of 1,510 articles published in SCI and SSCI journal in web services area between 2001 and 2008, this study maps a knowledge network of web services studies. The results of the mapping can help identify the research direction of web services research and provide a valuable tool for researchers to access the literature in this area.

Index Terms—wweb services; business process; web service composition; tag cloud.

Chiu-Chuan Lin is a management associate professor at doctoral program at the Chang Jung Christian University in Taiwan (e-mail: cclin@mail.cjcu.edu.tw). Yender McLEE is a management professor at doctoral program at the Chang Jung Christian University, Taiwan. (e-mail: yender_lee@yahoo.com). Jen-Hwa Kuo is a doctoral student at the Chang Jung Christian University, Taiwan (e-mail: dynaopto@gmail.com).


Cite: Chiu-Chuan Lin, Yender McLee, Jen-Hwa Kuo, "Web Services: Themes, Concepts and Relationships," International Journal of Machine Learning and Computing vol. 1, no. 2, pp. 199-204, 2011.

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals LibraryCNKI.
  • E-mail: ijmlc@ejournal.net

Article Metrics in Dimensions