MOSTRARE

Modeling Tree Structures, Machine Learning, and Information Extraction

During the last decade, the World Wide Web has evolved to the most important public data store on world. The recent data formats used on the Web are heterogeneous and still evolving. The web community is highly interested in adequate information representing so that information on the Web can be accessed and extracted more easily. A major challenge in that perspective is adaptive information extraction that can exploit the tree structure of web documents. Tree structure is available in the recent Web formats, HTML and XML, to encompassed textual information. In this project, we want to integrate tree structures and emerging machine learning techniques into adaptive information extraction systems.

Opening of an R&D engineer position in the QuiXProc transfer project: XML streaming for XProc.

Mostrare is a project of the research center INRIA Lille - Nord Europe and a group of the Lille's computer science department LIFL. The members of Mostrare are employed by the Lille University 1, the Lille University 3, and INRIA.

The picture above was taken on January 9th, 2009.

• up stairs, left to right: Aurélien Lemay, Jérôme Champavère, Slawek Staworko, Grégoire Laurence, Rémi Gilleron, Edouard Gilbert
• on the left, upwards: Fabien Torre, Olivier Gauwin, Benoît Groz
• down stairs, left to right: Karine Lewandowski, Yves Roos, Marc Tommasi, Iovka Boneva, Sophie Tison, Anne-Cécile Caron, Joachim Niehren
• missing: Jean-Baptiste Faddoul, Feriel Lahlali

Another picture, taken at a seminar, october 8, 2004. From left to right, back to front:

• forth row: Iovka Boneva, Yves André, Yves Roos, Alain Terlutte,
• third row: Jean-Marc Talbot, Benjamin Habegger, Fabien Torre, Rémi Gilleron
• second row: Joachim Niehren, Anne-Cécile Caron, Patrick Marty, Isabelle Tellier, Marc Tommasi
• first row: Florent Jousse, Laurent Planque
• photograph: Denis Debarbieux
• missing: Sophie Tison, Julien Carme, Aurélien Lemay, Laurent Candillier.