QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Investigating web services on the world wide web
Proceedings of the 17th international conference on World Wide Web
Inventing Requirements from Software: An Empirical Investigation with Web Services
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Towards Autonomic Service Discovery A Survey and Comparison
SCC '09 Proceedings of the 2009 IEEE International Conference on Services Computing
Requirements for QoS-Based Web Service Description and Discovery
IEEE Transactions on Services Computing
QoS Browsing for Web Service Selection
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
Service Selection Based on Customer Rating of Quality of Service Attributes
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
A QoS-Aware Web Service Selection Algorithm Based on Clustering
ICWS '11 Proceedings of the 2011 IEEE International Conference on Web Services
QoS-Based Service Ranking and Selection for Service-Based Systems
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
An Enhanced PROMETHEE Model for QoS-Based Web Service Selection
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
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The state of the art service search engines allow the users to pick the services they need, based on the quality properties, offered by these services. To this end, the users should interact with the search engines based on the quality models that are imposed by the engines. This is a significant restriction towards making the service-oriented paradigm attractive to the general public. In this paper, we propose an approach that allows a user to specify his perception of quality in terms of a simple, user-defined quality model. The proposed approach automatically maps the user-defined quality model to the search engine's quality model. This mapping forms the basis for ordering, grouping and, in general manipulating, the results of the user's service discovery requests.