Indexing source descriptions based on defined classes
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
Taxonomic clustering of web service for efficient discovery
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Combining uncorrelated similarity measures for service discovery
RED'10 Proceedings of the Third international conference on Resource Discovery
BOnSAI: a smart building ontology for ambient intelligence
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Content based service discovery in semantic web services using wordnet
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
Enhance discovery and retrieval of geospatial data using SOA and Semantic Web technologies
Expert Systems with Applications: An International Journal
Self-adaptive semantic web service matching method
Knowledge-Based Systems
Semantic web services discovery based on I/O parameter relations
International Journal of Web and Grid Services
Low-Cost Web Service Discovery Based on Distributed Decision Tree in P2P Environments
Wireless Personal Communications: An International Journal
Colbar: A collaborative location-based regularization framework for QoS prediction
Information Sciences: an International Journal
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In this paper, we describe and evaluate a Web service discovery framework using OWL-S advertisements, combined with the distinction between service and Web service of the WSMO Discovery Framework. More specifically, we follow the Web service discovery model, which is based on abstract and lightweight semantic Web service descriptions, using the Service Profile ontology of OWL-S. Our goal is to determine fast an initial set of candidate Web services for a specific request. This set can then be used in more fine-grained discovery approaches, based on richer Web service descriptions. Our Web service matchmaking algorithm extends object-based matching techniques used in Structural Case-based Reasoning, allowing 1) the retrieval of Web services not only based on subsumption relationships, but exploiting also the structural information of OWL ontologies and 2) the exploitation of Web services classification in Profile taxonomies, performing domain-dependent discovery. Furthermore, we describe how the typical paradigm of Profile input/output annotation with ontology concepts can be extended, allowing ontology roles to be considered as well. We have implemented our framework in the OWLS-SLR system, which we extensively evaluate and compare to the OWLS-MX matchmaker.