Research
I am associate researcher at IRIT, in the SIG team, under the supervision of Olivier Teste.
My current research theme mainly concerns the ontology matching (I participate in OAEI). Besides the technical aspect, the question that interests me more broadly is "How can one explain or verify a correspondence or a model produced by a learning system?".
During my thesis, my focus was on disability issues, particularly related to visual impairment and text input (on mobile devices). This work was carried out under the supervision of Mathieu Raynal, in the Elipse team.
Finally, my first experience in the world of research was the study of emotion mining (emotion mining), carried out during an internship at the LIA laboratory at EPFL.
For any questions related to research, you can contact me at Philippe.Roussille@irit.fr .
Publications
2018
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Philippe Roussille, Imen Megdiche Bousarsar, Olivier Teste, and Cassia Trojahn dos Santos.
Holontology: results of the 2018 oaei evaluation campaign.
In Holontology: results of the 2018 OAEI evaluation campaign. CEUR-WS: Workshop proceedings, 2018.
[details] [full text] [BibTeX▼] -
Philippe Roussille, Imen Megdiche, Olivier Teste, and Cássia Trojahn.
Boosting holistic ontology matching: generating graph clique-based relaxed reference alignments for holistic evaluation.
In European Knowledge Acquisition Workshop, 355–369. Springer, 2018.
[details] [full text] [BibTeX▼] - Mathieu Raynal and Philippe Roussille.
Use of duck keyboard for a daily use.
In International Conference on Computers Helping People with Special Needs, 399–406. Springer, 2018.
[details] [full text] [BibTeX▼]
2017
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Philippe Roussille.
Techniques d'assistance à la saisie de texte sur périphériques mobiles dans le cas de la déficience visuelle [Assistive techniques for text entry on mobile devices for the visually impaired].
PhD thesis, Paul Sabatier University, Toulouse, France, 2017.
[details] [full text] [BibTeX▼] - William Raynaut, Julien Aligon, Philippe Roussille, Chantal Soulé-Dupuy, and Nathalie Vallès-Parlangeau.
Towards a Meta-analysis-based User Assistant for Analysis Processes.
In 11th International Conference on Computer Science and Information Technology (CSIT 2017), 63–66. Yerevan, Armenia, September 2017.
[details] [full text] [BibTeX▼] - Mathieu Raynal and Philippe Roussille.
Duck: a deductive soft keyboard for visually impaired users.
In Harnessing the Power of Technology to Improve Lives, pages 902–909.
IOS Press, 2017.
[details] [BibTeX▼]
2016
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Philippe Roussille and Mathieu Raynal.
Lovie: a word list optimized for visually impaired users on smartphones.
In International Conference on Universal Access in Human-Computer Interaction, 185–197. Springer, 2016.
[details] [full text] [BibTeX▼] -
Philippe Roussille and Mathieu Raynal.
Swift: a short word solution for fast typing.
In International Conference on Computers Helping People with Special Needs, 464–471. Springer, 2016.
[details] [full text] [BibTeX▼]
2015
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Philippe Roussille, Mathieu Raynal, and Christophe Jouffrais.
Clavier duck: utilisation d'un système de déduction de mots pour faciliter la saisie de texte sur écran tactile pour les non-voyants.
In 27ème conférence francophone sur l'Interaction Homme-Machine., a19. ACM, 2015.
[details] [full text] [BibTeX▼] -
Philippe Roussille, Mathieu Raynal, and Christophe Jouffrais.
Duck: a deductive soft keyboard for visually impaired users.
In Proceedings of the 27th Conference on l'Interaction Homme-Machine, 1–8. 2015.
[details] [BibTeX▼]
2013
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Philippe Roussille, Mathieu Raynal, Slim Kammoun, Emmanuel Dubois, and Christophe Jouffrais.
Duck: a deductive keyboard.
In Proceedings of MOBACC 2013. ACM, 2013.
[details] [full text] [BibTeX▼] - Claudiu-Cristian Musat, Boi Faltings, and Philippe Roussille.
A model of online social interactions based on sentiment analysis and content similarity.
Technical Report, EPFL, 2013.
[details] [full text] [BibTeX▼]