Supervised ontology and instance matching with MELT

Hertling, Sven ; Portisch, Jan ; Paulheim, Heiko

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URN: urn:nbn:de:bsz:180-madoc-574941
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: OM 2020 : Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020) Virtual conference (originally planned to be in Athens, Greece), November 2, 2020
The title of a journal, publication series: CEUR Workshop Proceedings
Volume: 2788
Page range: 60-71
Conference title: OM 2020
Location of the conference venue: Online
Date of the conference: 02.11.2020
Publisher: Shvaiko, Pavel ; Euzenat, Jérôme ; Jiménez-Ruiz, Ernesto ; Hassanzadeh, Oktie ; Trojahn, Cássia
Place of publication: Aachen, Germany
Publishing house: RWTH Aachen
ISSN: 1613-0073
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Web Data Mining (Paulheim 2018-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 004 Computer science, internet
Keywords (English): ontology matching , supervised learning , machine learning , knowledge graph embeddings
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.

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