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INTEGRATING THE JENA RDF API WITHIN SAKAI : TOWARDS A SEMANTIC COLLABORATING LEARNING ENVIRONMENT

E Bodéré P Clément A Genoud M Le Trocquer M Moras L Pochard Vincent Ribaud 1 Philippe Saliou 1
1 Lab-STICC_UBO_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : In this paper, we describe a semantic extension to the CLE Sakai. Semantic means the ability to create, retrieve, query and navigate with knowledge about the entities managed by Sakai. RDF is the support of this semantic extension, through the integration within Sakai of Jena, an open-source RDF API provided by HP laboratory. New features are briefly presented and some use cases discussed. Open issues concludes this ongoing work.
Keywords : Sakai RDF semantic web CLE
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https://hal.univ-brest.fr/hal-01447500
Contributor : Vincent Ribaud <>
Submitted on : Thursday, January 26, 2017 - 10:52:39 PM
Last modification on : Friday, August 7, 2020 - 3:56:05 PM
Long-term archiving on: : Friday, April 28, 2017 - 8:13:54 AM

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  • HAL Id : hal-01447500, version 1

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UNIV-BREST | CNRS | INSTITUT-TELECOM | ENIB | LAB-STICC_ENIB | LAB-STICC | LAB-STICC_UBO | IBNM

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E Bodéré, P Clément, A Genoud, M Le Trocquer, M Moras, et al.. INTEGRATING THE JENA RDF API WITHIN SAKAI : TOWARDS A SEMANTIC COLLABORATING LEARNING ENVIRONMENT. 7h Sakai Conference, Jun 2007, Amsterdam, Netherlands. ⟨hal-01447500⟩

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