A Personalized Approach to Experience-Aware Service Ranking and Selection
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Semantically enabled business process discovery
Proceedings of the 2010 ACM Symposium on Applied Computing
Enabling trust-aware semantic web service selection a flexible and personalized approach
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Modeling user's non-functional preferences for personalized service ranking
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
Quality-driven extraction, fusion and matchmaking of semantic web API descriptions
Journal of Web Engineering
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We present an extensible and customizable framework for the autonomous discovery of Semantic Web services based on their QoS properties. Using semantic technologies, users can specify the QoS matching model and customize the ranking of services flexibly according to their preferences. The formal modeling of the discovery process as a query execution plan facilitates the introduction of different discovery algorithms and the automatic generation of parallelized matchmaking evaluations. This enables adapting our approach to unpredictable arrival rates of user queries and scales up to high numbers of published service descriptions.