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    <abstract>In this study, we present a comprehensive investigation into the mapping of English Wordnet to Wikidata, focusing on the existing mappings created by different projects. We systematically analyze the current mapping methodologies and their effectiveness, highlighting the strengths and limitations of each approach. Through a comparative analysis, we identified overlaps and discrepancies among the mappings, revealing insights into the relationships between the data sets. Our findings underscore the need for a more unified dataset that consolidates disparate mappings into a comprehensive unified Wordnet-Wikidata mapping. We propose a novel construction methodology for this unified data set, taking advantage of existing mappings while addressing their shortcomings. In addition, we discuss future perspectives and advanced techniques for mapping the remaining unmapped records, such as machine learning algorithms. This work not only contributes to the enhancement of data interoperability between Wordnet and Wikidata but also sets the stage for future research aimed at refining mapping techniques and expanding coverage.</abstract>
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%0 Conference Proceedings
%T Towards a Comprehensive English Wordnet-Wikidata Mapping
%A McCrae, John P.
%A Bergh, Johann
%A Angelov, Krasimir
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F mccrae-etal-2026-towards
%X In this study, we present a comprehensive investigation into the mapping of English Wordnet to Wikidata, focusing on the existing mappings created by different projects. We systematically analyze the current mapping methodologies and their effectiveness, highlighting the strengths and limitations of each approach. Through a comparative analysis, we identified overlaps and discrepancies among the mappings, revealing insights into the relationships between the data sets. Our findings underscore the need for a more unified dataset that consolidates disparate mappings into a comprehensive unified Wordnet-Wikidata mapping. We propose a novel construction methodology for this unified data set, taking advantage of existing mappings while addressing their shortcomings. In addition, we discuss future perspectives and advanced techniques for mapping the remaining unmapped records, such as machine learning algorithms. This work not only contributes to the enhancement of data interoperability between Wordnet and Wikidata but also sets the stage for future research aimed at refining mapping techniques and expanding coverage.
%R 10.63317/2hv5jxde5mv5
%U https://aclanthology.org/2026.lrec-1.933/
%U https://doi.org/10.63317/2hv5jxde5mv5
%P 11916-11925

Markdown (Informal)

[Towards a Comprehensive English Wordnet-Wikidata Mapping](https://aclanthology.org/2026.lrec-1.933/) (McCrae et al., LREC 2026)

• Towards a Comprehensive English Wordnet-Wikidata Mapping (McCrae et al., LREC 2026)

ACL

• John P. McCrae, Johann Bergh, and Krasimir Angelov. 2026. Towards a Comprehensive English Wordnet-Wikidata Mapping. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 11916–11925, Palma de Mallorca, Spain. ELRA Language Resource Association.