Supervised Ontology and Instance Matching with MELT
This work provides a tool for researchers and practitioners in data integration and semantic web domains, but it is incremental as it extends an existing toolkit.
The authors tackled the problem of applying supervised learning to ontology and instance matching by introducing MELT-ML, an open-source extension to the Matching and EvaLuation Toolkit, and demonstrated its capabilities through two use cases.
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.