Karima’s thesis, entitled “Linked Data at university: the LinkedWiki platform” will take place on Friday, January 25, 2019 at 14:30 at Bât 650 Ada Lovelace of the LRI, Laboratoire de Recherche en Informatique, in the room “Salle des thèses”. The defense will be in French.
The jury is composed by the following members:
- Serge Abiteboul – Directeur de Recherche Inria, ENS Paris (Co-directeur de thèse)
- Khalid Belhajjame – Maître de conférences, Université Paris Dauphine — LAMSADE (Examinateur)
- Sarah Cohen-Boulakia – Professeure, U. Paris-Sud,U. Paris-Saclay — LRI (Directrice de thèse)
- Anne Doucet – Professeure, Sorbonne Université — LIP6 (Examinatrice)
- Cedric Du Mouza – Maître de conférences HDR, Cnam Paris — Cédric (Rapporteur)
- Philippe Pucheral – Professeur, Université de Versailles-Saint-Quentin-en-Yvelines, Inria (Examinateur)
- Dan Vodislav – Professeur, U. Cergy-Pontoise — ETIS (Rapporteur)
Abstract:
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.
