Fallatah, O. orcid.org/0000-0002-5466-9119, Zhang, Z. orcid.org/0000-0002-8587-8618 and Hopfgartner, F. orcid.org/0000-0003-0380-6088 (2021) KGMatcher results for OAEI 2021. In: Shvaiko, P., Euzenat, J., Jiménez-Ruiz, E., Hassanzadeh, O. and Trojahn, C., (eds.) CEUR Workshop Proceedings. 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 25 Oct 2021, Virtual conference. Technical University of Aachen , pp. 160-166.
Abstract
KGMatcher is a scalable and domain independent matching tool that matches the schema (classes) of larger Knowledge Graphs by following a hybrid matching approach. KGMatcher is composed of an instance-based matcher which only uses annotated instances of knowledge graph classes to generate candidate class alignments, and a stringbased matcher. This year is the first OAEI participation of KGMatcher, and it is the best performing system on the common knowledge graph track. Although KGMatcher results are promising, further improvements of the matching techniques' and matcher combination can be introduced.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/. |
Keywords: | Knowledge Graphs; Instance-based Ontology Matching; Machine Learning; Schema Matching |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 May 2022 13:47 |
Last Modified: | 12 May 2022 13:56 |
Published Version: | http://ceur-ws.org/Vol-3063/ |
Status: | Published |
Publisher: | Technical University of Aachen |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186273 |