Integrating LLMs in the Engineering of a SAR Ontology

Author:

Doumanas Dimitrios,Soularidis AndreasORCID,Kotis KonstantinosORCID,Vouros GeorgeORCID

Publisher

Springer Nature Switzerland

Reference22 articles.

1. Babaei Giglou, H., D’Souza, J., Auer, S.: LLMs4OL: large language models for ontology learning. In: Payne, T.R. et al. (eds.) The Semantic Web – ISWC 2023. LNCS, vol. 14265, pp. 408–427. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-47240-4_22

2. Ning, X., Celebi, R.: Knowledge base construction from pre-trained language models by prompt learning. In: Knowledge Base Construction from Pre-trained Language Models 2022, pp. 46–54 (2022). https://cris.maastrichtuniversity.nl/en/publications/knowledge-base-construction-from-pre-trained-language-models-by-p. Accessed 10 Dec 2023

3. Pan, J.Z., et al.: Large Language Models and Knowledge Graphs: Opportunities and Challenges. arXiv preprint http://arxiv.org/abs/2308.06374 (2023). Accessed 02 Dec 2023

4. Funk, M., Hosemann, S., Jung, J.C., Lutz, C.: Towards Ontology Construction with Language Models. arXiv preprint http://arxiv.org/abs/2309.09898 (2023). Accessed 24 Feb 2024

5. Mateiu, P., Groza, A.: Ontology Engineering with Large Language Models. arXiv preprint http://arxiv.org/abs/2307.16699 (2023). Accessed 02 Dec 2023

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