The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Mining structures for semantics
ACM SIGKDD Explorations Newsletter
Automated semantic web service discovery with OWLS-MX
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
ICWS '06 Proceedings of the IEEE International Conference on Web Services
WSMO-MX: A Logic Programming Based Hybrid Service Matchmaker
ECOWS '06 Proceedings of the European Conference on Web Services
A semantic approach to approximate service retrieval
ACM Transactions on Internet Technology (TOIT)
CASCOM: Intelligent Service Coordination in the Semantic Web
CASCOM: Intelligent Service Coordination in the Semantic Web
OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services
Web Semantics: Science, Services and Agents on the World Wide Web
SAWSDL-MX2: A Machine-Learning Approach for Integrating Semantic Web Service Matchmaking Variants
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
URBE: Web Service Retrieval Based on Similarity Evaluation
IEEE Transactions on Knowledge and Data Engineering
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
Combining SAWSDL, OWL-DL and UDDI for semantically enhanced web service discovery
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Semantic content-based recommendation of software services using context
ACM Transactions on the Web (TWEB)
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In this paper, the authors present an adaptive, hybrid semantic matchmaker for SAWSDL services, called SAWSDL-MX2. It determines three types of semantic matching of an advertised service with a requested one, which are described in standard SAWSDL: logic-based, text-similarity-based and XML-tree edit-based structural similarity. Before selection, SAWSDL-MX2 learns the optimal aggregation of these different matching degrees off-line over a random subset of a given SAWSDL service retrieval test collection by exploiting a binary support vector machine-based classifier with ranking. The authors present a comparative evaluation of the retrieval performance of SAWSDL-MX2.