Full-Fledged Semantic Indexing and Querying Model Designed for Seamless Integration in Legacy RDBMS

Joe Tekli 1 Richard Chbeir 2 Agma J.M. Traina Caetano Traina 3 Kokou Yétongnon 4 Carlos Raymundo Ibañez Marc Al Assad Christian Kallas
1 LAU - Lebanese American University
2 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
3 GBDI - Data Bases and Images Group
4 Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]
Document type :
Journal articles
Complete list of metadatas
https://hal-univ-pau.archives-ouvertes.fr/hal-01906819
Contributor : Gaelle Chancerel <>
Submitted on : Saturday, October 27, 2018 - 6:22:47 PM
Last modification on : Sunday, April 7, 2019 - 3:00:39 PM

Links full text

openaccess

Identifiers

Collections

UNIV-PAU | LIUPPA | ICB | LE2I | UNIV-BOURGOGNE | UNIV-HESAM

Citation

Joe Tekli, Richard Chbeir, Agma J.M. Traina, Caetano Traina, Kokou Yétongnon, et al.. Full-Fledged Semantic Indexing and Querying Model Designed for Seamless Integration in Legacy RDBMS. Data and Knowledge Engineering, Elsevier, 2018, ⟨10.1016/J.DATAK.2018.07.007⟩. ⟨hal-01906819⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

55

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD