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Research results
Thesis in progress de RAKOTOARISON Herilalaina
RAKOTOARISON Herilalaina
Thesis in progress
Group : Learning and Optimization

Sélection et configuration automatiques d’algorithmes d’optimisation pour des réseaux de distribution électriques régionaux ou locaux

Starts on 01/11/2017
Advisor : SCHOENAUER, Marc

Funding : contrat doctoral INRIA
Affiliation : Université Paris-Sud
Laboratory : LRI - AO

Defended on 00/00/0000, committee :

Research activities :

Abstract :


Ph.D. dissertations & Faculty habilitations
LINKED DATA AT UNIVERSITY : THE LINKEDWIKI PLATFORM
The Center for Data Science of the University of Paris-Saclay deployed a platform compatible with Linked Data in 2016. Because researchers face many difficulties utilizing these technologies, an approach and then a platform we call LinkedWiki were designed and tested over the university’s cloud (IAAS) to enable the creation of modular virtual search environments (VREs) compatible with Linked Data. We are thus able to offer researchers a means to discover, produce and reuse the research data available within the Linked Open Data, i.e., the global information system emerging at the scale of the internet. This experience enabled us to demonstrate that the operational use of Linked Data within a university is perfectly possible with this approach. However, some problems persist, such as (i) the respect of protocols and (ii) the lack of adapted tools to interrogate the Linked Open Data with SPARQL. We propose solutions to both these problems. In order to be able to verify the respect of a SPARQL protocol within the Linked Data of a university, we have created the SPARQL Score indicator which evaluates the compliance of the SPARQL services before their deployments in a university’s information system. In addition, to help researchers interrogate the LOD, we implemented a SPARQLets-Finder, a demonstrator which shows that it is possible to facilitate the design of SPARQL queries using autocompletion tools without prior knowledge of the RDF schemas within the LOD.

LINKED DATA AT UNIVERSITY : THE LINKEDWIKI PLATFORM
The Center for Data Science of the University of Paris-Saclay deployed a platform compatible with Linked Data in 2016. Because researchers face many difficulties utilizing these technologies, an approach and then a platform we call LinkedWiki were designed and tested over the university’s cloud (IAAS) to enable the creation of modular virtual search environments (VREs) compatible with Linked Data. We are thus able to offer researchers a means to discover, produce and reuse the research data available within the Linked Open Data, i.e., the global information system emerging at the scale of the internet. This experience enabled us to demonstrate that the operational use of Linked Data within a university is perfectly possible with this approach. However, some problems persist, such as (i) the respect of protocols and (ii) the lack of adapted tools to interrogate the Linked Open Data with SPARQL. We propose solutions to both these problems. In order to be able to verify the respect of a SPARQL protocol within the Linked Data of a university, we have created the SPARQL Score indicator which evaluates the compliance of the SPARQL services before their deployments in a university’s information system. In addition, to help researchers interrogate the LOD, we implemented a SPARQLets-Finder, a demonstrator which shows that it is possible to facilitate the design of SPARQL queries using autocompletion tools without prior knowledge of the RDF schemas within the LOD.

CONSTRUCTION, éVOLUTION ET ENRICHISSEMENT D'UNE ONTOLOGIE CONTEXTUELLE POUR UNE BASE DE CONNAISSANCES MULTI-USAGE DANS LE DOMAINE DU BâTIMENT