Employing Graph Network Analysis for Web Service Composition

被引:1
作者
Gekas, John [1 ]
Fasli, Maria [2 ]
机构
[1] Univ Essex, Comp Sci, Colchester, Essex, England
[2] Univ Essex, Dept Comp & Elect Syst, Colchester, Essex, England
关键词
heuristics; information network; semantic data model; semantic matching; Web applications; Web technologies;
D O I
10.4018/jitwe.2007100102
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
d 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 work flow, in order to collectively achieve combined functionality. In this article, we present our work in the area of automatic work flow 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.
引用
收藏
页码:21 / 40
页数:20
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