Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Constructing virtual documents for ontology matching
Proceedings of the 15th international conference on World Wide Web
Ontology Matching
A Flexible Approach for Planning Schema Matching Algorithms
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Generalized Mongue-Elkan Method for Approximate Text String Comparison
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
AgreementMaker: efficient matching for large real-world schemas and ontologies
Proceedings of the VLDB Endowment
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
YAM++: a multi-strategy based approach for ontology matching task
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
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Ontology matching is needed in many application domains. In this paper, we present a machine learning approach for combining metrics, which exploits various linguistic and context profiles features in order to discover mappings between entities of different ontologies. Our approach has been implemented and the experimental results over Benchmark and Conference test cases on OAEI 2010 campaign demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility.