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Authors
# Name
1 Asley Caldas(asleylc@gmail.com)
2 José Renato Freitas(jrenatosfreitas@gmail.com)
3 Tulio Rolim(tulio.xcrtf@gmail.com)
4 Vânia Vidal(vaniap.vidal@gmail.com)

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Reference
# Reference
1 Alzahrani, S. and O’Sullivan, D. (2025). Guiding llm generated mappings with lifecycle-based metadata: An early evaluation.
2 Arenas-Guerrero, J., Chaves-Fraga, D., Toledo, J., Perez, M. S., and Corcho, O. (2024). Morph-KGC: Scalable knowledge graph materialization with mapping partitions. Semantic Web, 15(1):1–20.
3 Conrado, R. C., Campos, E. M., Traina Jr, C., Traina, A. J., and Cazzolato, M. T. (2025). From tables to graphs with clinicoatlas: Leveraging llms to support modeling and mining knowledge graphs. In Simposio Brasileiro de Banco de Dados (SBBD) , pages 64–69. SBC.
4 da Silva, G. M., de Armas, E. M., Saieg, P., de Castro, R. A., Coqueiro, T. D., Lemos, M., and Castro, L. C. (2025). Llms na geracão de mapeamentos semânticos: Experimento no domínio de plantas industriais. In Simposio Brasileiro de Banco de Dados (SBBD) , pages 449–458. SBC
5 Hofer, M., Frey, J., and Rahm, E. (2024). Towards self-configuring knowledge graph construction pipelines using llms-a case study with rml. In Fifth International Workshop on Knowledge Graph Construction @ ESWC2024.
6 Kommineni, V. K., König-Ries, B., and Samuel, S. (2024). From human experts to machines: An llm supported approach to ontology and knowledge graph construction. arXiv preprint arXiv:2403.08345.
7 Mavridis, A., Tegos, S., Anastasiou, C., Papoutsoglou, M., and Meditskos, G. (2025). Large language models for intelligent rdf knowledge graph construction: results from medical ontology mapping. Frontiers in Artificial Intelligence, 8:1546179.
8 Vidal, V., Freitas, R., Arruda, N., Casanova, M. A., and Renso, C. (2024). A data design pattern for building and exploring semantic views of enterprise knowledge graphs. In Anais do XXXIX Simposio Brasileiro de Bancos de Dados ´ , pages 1–13, Porto Alegre, RS, Brasil. SBC.