论文标题
监督本体论和实例与熔体匹配
Supervised Ontology and Instance Matching with MELT
论文作者
论文摘要
在本文中，我们介绍了融化ML，这是一种机器学习扩展到匹配和评估工具包（熔体），该工具包（融化）促进了监督学习在本体论和实例匹配中的应用。我们的贡献是双重的：我们向匹配的工具包提出了开源机器学习扩展，以及两个有监督的学习用例，证明了新扩展的功能。
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.
