Title :
Semantic Web Service Discovery Approach Using Service Clustering
Author :
Zhou, Juan ; Li, Shuyu
Author_Institution :
Dept. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China
Abstract :
Discovery of suitable Web services for a given user requirement is one of the key technology. A mechanism is proposed to support QoS-based semantic web service discovery in the paper. Firstly, to reduce the overhead and enhance the discovery efficiency, genetic algorithm is adopted as a method of service clustering. Furthermore, based on user´s QoS requirements, the QoS-based service matchmaker was realized. In the end, simulation results demonstrated the effectiveness of the proposed method.
Keywords :
Web services; genetic algorithms; pattern clustering; quality of service; semantic Web; software quality; QoS-based service matchmaker; genetic algorithm; quality of sercive; semantic Web service discovery approach; service clustering method; Clustering algorithms; Computational modeling; Computer science; Costs; Data mining; Genetic algorithms; Quality of service; Semantic Web; Technological innovation; Web services;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5363051
