Title :
Web Services Clustering Using a Bio-inspired Algorithm
Author :
Roman Mora;Sa?l Santill?n-P?rez;Maricela Bravo
Author_Institution :
Dept. Syst., UAM Azcapotzalco, Mexico City, Mexico
Abstract :
In this work we describe a bio-inspired algorithm for Web service clustering, in particular we present an adaptation of the Ant Colony Optimization (ACO) algorithm which is applied over a collection of Web service descriptions. The adapted ACO uses input and output parameter definitions to calculate semantic similarity measures between all the different Web services. A set of experiments were carried out with promising results that show the benefits of the ACO algorithm for Web services clustering.
Keywords :
"Web services","Semantics","Clustering algorithms","Classification algorithms","Length measurement","Algorithm design and analysis","Approximation algorithms"
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2015 26th International Workshop on
Print_ISBN :
978-1-4673-7581-8
Electronic_ISBN :
2378-3915
DOI :
10.1109/DEXA.2015.52
