- Web and Semantic Web Technologies
- Knowledge modelling and knowledge engineering
- Experiential knowledge and trace-based systems
- Multimedia annotations and hypervideo
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.
- The TBS Platform is an effort of the SILEX group to federate the development of interoperable components for building trace-based systems.
- The kernel for trace-based systems (kTBS) is a server dedicated to collecting, storing and transforming interaction traces.
- Advene aims at providing a model and a format to share annotations about digital video documents, as well as tools to edit and visualize the hypervideos generated from both the annotations and the audiovisual documents.
- 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