LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs

Olivier Curé 1 Hubert Naacke 2 Tendry Randriamalala 3 Bernd Amann 2
1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 BD - Bases de Données
LIP6 - Laboratoire d'Informatique de Paris 6
3 Atos [Bezons]
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Conference papers
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https://hal-upec-upem.archives-ouvertes.fr/hal-01740588
Contributor : Olivier Curé <>
Submitted on : Thursday, March 22, 2018 - 10:32:18 AM
Last modification on : Friday, March 22, 2019 - 1:39:06 AM

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UPEC-UPEM | UPMC | LIP6 | ENPC | PARISTECH | LIGM | LIGM_MOA | ESIEE-PARIS | SORBONNE-UNIVERSITE | SU-SCIENCES

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Olivier Curé, Hubert Naacke, Tendry Randriamalala, Bernd Amann. LiteMat: A scalable, cost-efficient inference encoding scheme for large RDF graphs. 2015 IEEE International Conference on Big Data (Big Data), Oct 2015, Santa Clara, CA, United States. pp.1823-1830, ⟨10.1109/BigData.2015.7363955⟩. ⟨hal-01740588⟩

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