Source: Data Intelligence. Unidades: EP, ICMC, IME, IEA
Subjects: INTELIGÊNCIA ARTIFICIAL, AGRICULTURA, BOTÂNICA (CLASSIFICAÇÃO), ONTOLOGIA
ABNT
SOARES, Filipi Miranda et al. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development. Data Intelligence, v. 7, n. 2, p. 265-302, 2025Tradução . . Disponível em: https://doi.org/10.3724/2096-7004.di.2025.0020. Acesso em: 03 jul. 2025.APA
Soares, F. M., Saraiva, A. M., Pires, L. F., Santos, L. O. B. da S., Moreira, D. de A., Correa, F. E., et al. (2025). Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development. Data Intelligence, 7( 2), 265-302. doi:10.3724/2096-7004.di.2025.0020NLM
Soares FM, Saraiva AM, Pires LF, Santos LOB da S, Moreira D de A, Correa FE, Braghetto KR, Drucker DP, Delbem ACB. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development [Internet]. Data Intelligence. 2025 ; 7( 2): 265-302.[citado 2025 jul. 03 ] Available from: https://doi.org/10.3724/2096-7004.di.2025.0020Vancouver
Soares FM, Saraiva AM, Pires LF, Santos LOB da S, Moreira D de A, Correa FE, Braghetto KR, Drucker DP, Delbem ACB. Exploring a large language model for transforming taxonomic data into OWL: lessons learned and implications for ontology development [Internet]. Data Intelligence. 2025 ; 7( 2): 265-302.[citado 2025 jul. 03 ] Available from: https://doi.org/10.3724/2096-7004.di.2025.0020