Intelligent web services selection based on AHP and Wiki
dc.contributor.author | Chen, Wu | |
dc.contributor.author | Chang, Elizabeth | |
dc.date.accessioned | 2017-01-30T12:39:55Z | |
dc.date.available | 2017-01-30T12:39:55Z | |
dc.date.created | 2008-11-12T23:32:48Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Chen, Wu and Chang, Elizabeth. 2007. : Intelligent web services selection based on AHP and Wiki, Web intelligence, IEEE/WIC/ACM International Conference, Nov 02-05 2007, pp. 767-770. Silicon Valley, USA: IEEE Computer Society. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/23921 | |
dc.identifier.doi | 10.1109/WI.2007.4427186 | |
dc.description.abstract |
Web Service selection is an essential element in Service-Oriented Computing. How to wisely select appropriate Web services for the benefits of service consumers is a key issue in service discovery. In this paper, we approach QoS-based service selection using a decision making model the Analytic Hierarchy Process (AHP).In our solution, both subjective and objective criteria are supported by the AHP engine in a context-specific manner. We also provide a flexible Wiki platform to collaboratively form the initial QoS model within a service community. The software prototype is evaluated against the system scalability. | |
dc.publisher | IEEE Computer Society | |
dc.title | Intelligent web services selection based on AHP and Wiki | |
dc.type | Conference Paper | |
dcterms.source.startPage | 767 | |
dcterms.source.endPage | 770 | |
dcterms.source.conference | Web intelligence, IEEE/WIC/ACM International Conference | |
dcterms.source.conference-start-date | Nov 02-05 2007 | |
dcterms.source.conferencelocation | Silicon Valley, USA | |
dcterms.source.place | USA | |
curtin.note |
Copyright 2007 IEEE | |
curtin.note |
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
curtin.department | Centre for Extended Enterprises and Business Intelligence | |
curtin.identifier | EPR-2628 | |
curtin.accessStatus | Open access |
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