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Ph.D de

Ph.D
Group : Bioinformatics

Linked Data at university : the LinkedWiki platform

Starts on 01/10/2014
Advisor : COHEN-BOULAKIA, Sarah

Funding : Aucun financement
Affiliation : Université Paris-Sud
Laboratory :

Defended on 25/01/2019, committee :
Sarah Cohen-Boulakia
Serge Abiteboul
Membre du jury Philippe Pucheral [Président]
Christian Dan Vodislav [Rapporteur]
Cédric Du Mouza [Rapporteur]
Anne Doucet
Khalid Belhajjame

Research activities :

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.

More information: https://tel.archives-ouvertes.fr/tel-02003672
Ph.D. dissertations & Faculty habilitations
DESIGNING INTERACTIVE TOOLS FOR CREATORS AND CREATIVE WORK
Creative work has been at the core of research in Human-Computer Interaction (HCI). I describe the results of a series of studies that look at how creators work, where creators include artists with years of professional practice, as well as learners, or novices and casual makers. My research focuses on three creation activities: drawing, physical modeling, and music composition. For these activities, I examine how artists switch between representations and how these representations evolve throughout their creative process, from early sketches to fine-grained forms or structured vocabularies. I present interactive systems that enrich their workflow (i) by extending their computer tools with physical user interfaces, or (ii) by making physical materials interactive. I also argue that sketch-based representations can allow for user interfaces that are more personal and less rigid. My presentation will reflect on lessons and limitations of this work and discuss challenges for future design-support tools.

INCREASING THE BANDWIDTH OF INTERACTIVE VISUALIZATIONS, USING COMPLEX DISPLAY ENVIRONMENTS AND TARGETED DESIGNS
Interactive visualizations combine human computer interaction, visual design, perception theory, as well as data processing methods in order to propose visual data representations that amplify cognition, and aid data exploration and understanding. We can consider visualization as a communication medium or channel between humans and their data. The higher the communication bandwidth (the data that can be communicated and understood), the more effective the visualization is. My research attempts to increase the bandwidth of this communication channel in the following two ways. (i) First, by moving away from traditional desktops towards larger displays that can both render larger amounts of data and can accommodate multiple viewers. (ii) And second, by designing and studying appropriate visual representations that show salient information. In my presentation I will describe my work on these topics, the challenges it tries to address, and discuss the methodology and inspiration behind this research.

MODéLISATION DE SYSTèME PHYSIQUES PAR APPRENTISSAGE STATISTIQUE PROFOND