My research is in the field of knowledge engineering, with a specific focus on the dynamics of knowledge, and its sharing between humans and machines. This focus is already important in traditional applications, with a well-defined scope. But it becomes crucial in the context of the web, an open and constantly evolving environment. This work is therefore in the line of the Semantic Web.
More specifically, I am interested in
- interaction traces (between users and systems), considered as knowledge inscriptions offering multiple interpretations, depending on the context;
- the explainability of AI systems, made possible in particular by the elicitation of knowledge, its linking into knowledge graphs, and the use of traces.
I review papers on a regular basis for the following journals and conferences: Knowledge-Based Systems, WWW, ISWC, ESWC, Semantics, IUI, IC (french conference on Knowledge Engineering).
My full list of publications is available here.
See also my habilitation thesis.
- Repid (2019-2020)
- Hubble (2014-2019)
- Episteme (2014-2017)
- Learning Café (2013-2016)
- Spectacle en ligne(s) (2013-2014)
- eGonomy (2012-2014)
- Kolflow (2011-2014)
- Cinecast (2010-2012)
- ACAV (2009-2011)
- Ithaca (2008-2011)
- Cinelab (2007-2008)
Current PhD students
- Sarra Ouelhadj (with Stéphanie Jean-Daubias): Defining a sustainable workflow for semantically enriching territorial Open Data (in partnership with Métropole de Lyon)
- Julian Bruyat (with Frédériqie Laforest and Lionel Médini): From Property Graphs to Knowledge Graphs
- Charbel Obeid (with Inaya Lahoud): Towards a recommender system for higher education counseling
- Fatma Derbel (with Amélie Cordier): Authentification and certification in e-learning using interaction traces
Former PhD students
- Maxime Chabert (dir. Christine Solnon): Assisting the configuration of an ERP application, using knowledge engineering and constraint programming. (in partnership with Infologic)
- Blandine Ginon (dir. Stéphanie Jean-Daubias): Generic Models and Tools to Set Up Epiphytic Assistance Systems
- Rakebul Hasan (dir. Fabien Gandon): Predicting Query Performance and Explaining Results to Assist Linked Data Consumption