%0 Generic %1 hertling2020supervised %A Hertling, Sven %A Portisch, Jan %A Paulheim, Heiko %D 2020 %K instance instancematching matching ontology %T Supervised Ontology and Instance Matching with MELT %U http://arxiv.org/abs/2009.11102 %X In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching. Our contributions are twofold: We present an open source machine learning extension to the matching toolkit as well as two supervised learning use cases demonstrating the capabilities of the new extension.

@misc{hertling2020supervised, abstract = {In this paper, we present MELT-ML, a machine learning extension to the Matching and EvaLuation Toolkit (MELT) which facilitates the application of supervised learning for ontology and instance matching. Our contributions are twofold: We present an open source machine learning extension to the matching toolkit as well as two supervised learning use cases demonstrating the capabilities of the new extension.}, added-at = {2022-05-12T15:49:50.000+0200}, author = {Hertling, Sven and Portisch, Jan and Paulheim, Heiko}, biburl = {https://www.bibsonomy.org/bibtex/21aa375e8baa8ad770e7fd7343c2c1204/simonha94}, description = {[2009.11102] Supervised Ontology and Instance Matching with MELT}, interhash = {6e5f0257d58d984011560ed2336352a0}, intrahash = {1aa375e8baa8ad770e7fd7343c2c1204}, keywords = {instance instancematching matching ontology}, note = {cite arxiv:2009.11102Comment: accepted at the the Fifteenth International Workshop on Ontology Matching collocated with the 19th International Semantic Web Conference ISWC-2020}, timestamp = {2022-05-12T15:49:50.000+0200}, title = {Supervised Ontology and Instance Matching with MELT}, url = {http://arxiv.org/abs/2009.11102}, year = 2020 }