DocumentCode
2286504
Title
QoS ontology based efficient web services selection
Author
Qu, Li-Li ; Chen, Yan
Author_Institution
Dalian Maritime Univ., Dalian, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
45
Lastpage
50
Abstract
The ability to efficiently and effectively select the inter-organizational and heterogeneous services is the important support for the development of the Web service technology. Quality of service (QoS) profiles of Web services are crucial in determining which service best addresses the user desires and objectives. This paper developed a general QoS-based service selection method. By importing the proposed QoS ontology into OWL-S standards, the method can express Web service´s nonfunctional attributes in a semantic and extensible way. Web service QoS based selection is formulated as a multi-criteria decision making (MCDM) which can be solved by using different MCDM models to evaluate QoS criteria of the candidate Web services. The values of quality parameters of a Web service are normalized to a non-negative real-valued number where higher normalized values represent higher levels of service performance. The proposed approach can be used as a solution for the complexity and reliability Web service selection problem.
Keywords
Web services; decision making; knowledge representation languages; ontologies (artificial intelligence); quality of service; semantic Web; MCDM model; OWL-S standard; QoS ontology; Web service nonfunctional attribute; Web service selection; heterogeneous service; inter-organizational selection; multicriteria decision making; nonnegative real-valued number; quality-of-service; Conference management; Decision making; Engineering management; Ontologies; Proposals; Quality of service; Simple object access protocol; Taxonomy; Technology management; Web services; OWL-S; QoS; Web service selection; multiple criteria decision making; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5317544
Filename
5317544
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