Gekas, John and Fasli, Maria (2007) Employing Graph Network Analysis for Web Service Composition. International Journal of Information Technology and Web Engineering, 2 (4). pp. 21-40. DOI https://doi.org/10.4018/jitwe.2007100102
Gekas, John and Fasli, Maria (2007) Employing Graph Network Analysis for Web Service Composition. International Journal of Information Technology and Web Engineering, 2 (4). pp. 21-40. DOI https://doi.org/10.4018/jitwe.2007100102
Gekas, John and Fasli, Maria (2007) Employing Graph Network Analysis for Web Service Composition. International Journal of Information Technology and Web Engineering, 2 (4). pp. 21-40. DOI https://doi.org/10.4018/jitwe.2007100102
Abstract
<p>The Web services paradigm has enabled an increasing number of providers to host remotely accessible services. However, the true potential of such a distributed infrastructure can only be reached when such autonomic services can be combined together as parts of a workflow, in order to collectively achieve combined functionality. In this article, we present our work in the area of automatic workflow composition among Web services with semantically described functionality capabilities. For this purpose, we use a set of heuristics derived from the connectivity structure of the service repository in order to effectively guide the composition process. The methodologies presented in this article have been inspired by research in areas such as graph network analysis, social network analysis, and bibliometrics. In addition, we present comparative experimentation results in order to evaluate the presented techniques.</p>
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 15 Aug 2012 08:04 |
Last Modified: | 23 Sep 2022 18:42 |
URI: | http://repository.essex.ac.uk/id/eprint/3641 |