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- 199 creator alessio-fabiani.
- 199 creator cosmin-stroe.
- 199 creator federico-caimi.
- 199 creator isabel-f-cruz.
- 199 creator matteo-palmonari.
- 199 type InProceedings.
- 199 label "Automatic Configuration Selection Using Ontology Matching Task Profiling".
- 199 sameAs 199.
- 199 abstract "An ontology matching system can usually be run with different configurations that optimize the system's effectiveness, namely precision, recall, or F-measure, depending on the specific ontologies to be aligned. Changing the configuration has potentially high impact on the obtained results. We apply matching task profiling metrics to automatically optimize the system's configuration depending on the characteristics of the ontologies to be aligned. Using machine learning techniques, we can automatically determine the optimal configuration in most cases. Even using a small training set, our system predicts the best configuration in 94% of the cases. Our approach is evaluated using our extensible and configurable ontology matching system AgreementMaker.".
- 199 hasAuthorList authorList.
- 199 isPartOf proceedings.
- 199 keyword "automatic configuration selection".
- 199 keyword "machine learning".
- 199 keyword "matching task profiling".
- 199 keyword "ontology alignment".
- 199 keyword "ontology matching".
- 199 keyword "ontology profiling".
- 199 title "Automatic Configuration Selection Using Ontology Matching Task Profiling".