Fonte: Data & Knowledge Engineering. Unidade: ICMC
Assuntos: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE TEXTO
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TEKLI, Joe et al. Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS. Data & Knowledge Engineering, v. 117, p. Se 2018, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.datak.2018.07.007. Acesso em: 18 ago. 2024.APA
Tekli, J., Chbeir, R., Traina, A. J. M., Traina Junior, C., Yetongnon, K., Ibañez, C. R., et al. (2018). Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS. Data & Knowledge Engineering, 117, Se 2018. doi:10.1016/j.datak.2018.07.007NLM
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Yetongnon K, Ibañez CR, Assad MA, Kallas C. Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS [Internet]. Data & Knowledge Engineering. 2018 ; 117 Se 2018.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1016/j.datak.2018.07.007Vancouver
Tekli J, Chbeir R, Traina AJM, Traina Junior C, Yetongnon K, Ibañez CR, Assad MA, Kallas C. Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS [Internet]. Data & Knowledge Engineering. 2018 ; 117 Se 2018.[citado 2024 ago. 18 ] Available from: https://doi.org/10.1016/j.datak.2018.07.007