Using statistical testing in the evaluation of retrieval experiments
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources
IEEE Transactions on Knowledge and Data Engineering
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Hybrid Semantic Web Service Retrieval: A Case Study with OWLS-MX
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
WSMO-MX: A hybrid Semantic Web service matchmaker
Web Intelligence and Agent Systems
OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services
Web Semantics: Science, Services and Agents on the World Wide Web
Hybrid Adaptive Web Service Selection with SAWSDL-MX and WSDL-Analyzer
ESWC 2009 Heraklion Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications
The creation and evaluation of iSPARQL strategies for matchmaking
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
iSeM: Approximated Reasoning for Adaptive Hybrid Selection of Semantic Services
ICSC '10 Proceedings of the 2010 IEEE Fourth International Conference on Semantic Computing
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We present OWLS-MX3, the first adaptive hybrid semantic service matchmaker for OWL-S services. It learns how to best combine logic-based, text similarity and ontological structure matching for hybrid semantic selection of OWL-S services to given queries. OWLS-MX3 performs structural semantic matching to compensate for certain cases of text matching failures which are caused by the observed characteristic of many semantic web ontologies of being mere is-a ontologies. The matchmaker adapts its selection to changes in the semantic service landscape and ontologies by learning the respectively optimal weighted combination of different types of semantic similarities it computes for pairs of service requests and service offers. The comparative performance evaluation based on standard measures for both binary and graded service relevance revealed a rather negative result: The improvement of OWLS-MX3 over its non-adaptive predecessor OWLS-MX2 is slight but not significant. On the other hand, its adaptation feature clearly renders OWLS-MX3, in principle, independent from changes of the set of available OWL-S services or matching filters which would otherwise require a manual re-combination by the developer to appropriately reflect these changes.