Audrey Baneyx


I am a doctor in data processing from the Université Paris 6, specialized in knowledge engineering and text mining.

My research have situated themselves at the confluences of artificial intelligence, in particular the modeling of knowledge, and automatic natural language processing. After working specifically for a few years on textual analysis and the representation of knowledge in medicine, notably at the Inserm, I have since four years reinvested my methodological knowledge and techniques in service of social sciences.

Within the médialab, I intervene as a project leader and expert in the modeling  knowledge. My research activities have three major axis :

1. Think of different paths to resolve the problem of heterogeneity of digital data with the help of ontologies in order to improve our understanding of knowledge communities. The research led concerned the construction of epistemic networks centered around the way that communities form, how they evolve, interact and, more generally, the style of collaboration process they produce. There is a double challenge: On the one hand, to characterize the emergence and entanglement of these communities at different levels of granularity and, on the other hand, exhibit the objects of collaborations between individuals within communities.

2. To make visible the complexity of scientific production in the wide sense, it’s mechanisms and functioning (ScholarscapeSciencescape). At a time where universities are set in international rankings, the issues are important for a field like social sciences that must be able to make sense of it’s activity in order to evaluate itself while the disciplines that compose it are badly represented in the wide bases of normalized bibliometrics data (Scopus, Web of Science for example).

3. To develop automatic natural language processing tools adapted to social science research that permits to go from the constitution of a digital textual corpus (ANTA v2) to the modeling of the knowledge that it contains.


G. Declerck, A. Baneyx, X. Aimé, and J. Charlet. À quoi servent les ontologies fondationnelles ? In Conférence Ingénierie des Connaissances, pages 67-82, Juin 2012

BANEYX, Audrey, BRICON-SOUF, Nathalie, BRINGAY, Sandra. Extraction et contextualisation des connaissances. Bulletin de l'Association Française pour l'Intelligence Artificielle. octobre 2011, n°73, p.52-53.

BRINGAY, Sandra, BRICON-SOUF, Nathalie, BANEYX, Audrey. Ordinateur et médecine : extraire des connaissances à partir de données médicales. Bulletin de l’Association Française pour l’Intelligence Artificielle. juin 2011, n°72, p. 42-45.

J. Charlet, S. Szulman, N. Aussenac-Gilles, A. Nazarenko, N. Hernandez, N. Nadah, E. Sardet, J. Delahousse, V. Teguiak, and A. Baneyx. Dafoe : une plateforme pour construire des ontologies à partir de textes et de thésaurus. In 10ième Conférence Internationale Francophone sur l’Extraction et la Gestion des Connaissances, Hammamet, Tunisie, 2010.

Journal Articles

VENTURINI, T., JACOMY, M., BANEYX, A., & GIRARD, P. (2015). Hors champs: la multipositionnalité par l’analyse des réseaux. Working Paper, Médialab.

GIRARD, Paul, JACOMY, Mathieu, BANEYX, Audrey,  et al. The Hypertext Corpus Initiative : methods and tools for Social Sciences to build corpus from the web. Digital Humanities Luxembourg 2012 : Websites as Sources. Luxembourg, LUXEMBOURG.  2012.

J. Charlet, A. Baneyx, O. Steichen, I. Alecu, C. D.-L. Bozec, C. Bousquet, and M.-C. Jaulent. Utiliser et construire des ontologies en médecine. Le primat de la terminologie. Technique et Science Informatiques, 28(2):145–171, 2009.

A. Baneyx. Publish or perish as citation metrics used to analyze scientific output in the humanities: international case studies in economics, geography, social sciences, philosophy and history. Archivum Immunologiae et Therapiae Experimentalis, 56(6):363–371, December 2008.

Maps & Viz is an online atlas providing data, visualizations and commentaries about climate adaptation debate. It contains 33 issue-maps and 5 issue-stories.

Other publications

A. Baneyx and P. Breucker. K-words lab : un outil d’analyse des mots clés permettant d’explorer les dynamiques d’un domaine scientifique. In 10ième Conférence Internationale Francophone sur l’Extraction et la Gestion des Connaissances, Hammamet, Tunisie, 2010.