Title :
An optimization ant colony algorithm for composition of semantic Web services
Author :
Yan, Kai ; Xue, Gang ; Yao, Shao-wen
Author_Institution :
Lab. of Network Intell. Comput., Yunnan Univ., Kunming, China
Abstract :
Automatic composition of semantic Web services by requests is one of difficult problems in the field of Web services. In this paper we investigate Web services ontology and ant colony (AC) algorithm and propose a method of composition of semantic Web services (ACAC) that is based on ant colony algorithm. We generate a graph of input and output of semantic Web services, using this method, and then the composition of Web services is transformed into finding a satisfying path in the graph. So AC algorithm is used for efficient composition of Web services. Finally, we have tested ACAC with a test set and the results show that the algorithm can successfully compose the semantic Web services and is also able to ensure the quality and efficiency of composition.
Keywords :
Web services; ontologies (artificial intelligence); optimisation; semantic Web; ant colony algorithm; automatic composition; optimization; semantic Web services ontology; Ant colony optimization; Application software; Computational intelligence; Computer industry; Distributed computing; Ontologies; Robustness; Semantic Web; Testing; Web services; Ant Colony Algorithm; Semantic Web Services; composition of Web services; ontology;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406653