NLFOA: Natural Language Focused Ontology Alignment

Author:

Schneider Florian1ORCID,Dash Sarthak2ORCID,Bagchi Sugato2ORCID,Mihindukulasooriya Nandana3ORCID,Gliozzo Alfio Massimiliano2ORCID

Affiliation:

1. Language Technology, Universität Hamburg, Germany

2. IBM Research AI, USA

3. Data and AI, IBM Research AI, USA

Publisher

ACM

Reference33 articles.

1. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics. Minneapolis, MN, USA, 4171–4186.

2. Sefika Efeoglu. 2023. GraphMatcher: A Graph Representation Learning Approach for Ontology Matching: Results for OAEI 2022. In CEUR Workshop Proceedings, Vol. 3324. Hangzhou, China (virtual), 174–180.

3. Agent-based ontology alignment

4. The AgreementMakerLight Ontology Matching System

5. Daniel Faria, Marta Contreiras Silva, Pedro Cotovio, Patrícia Eugénio, and Catia Pesquita. 2022. Matcha and Matcha-DL Results for OAEI 2022. In CEUR Workshop Proceedings.

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