Jean-Gabriel Ganascia

Jean-Gabriel Ganascia is presently Professor of computer science at Paris University Pierre et Marie Curie (Paris VI) and researcher at the computer science laboratory of Paris VI University (LIP6) where he leads the ACASA (“Cognitive Agents and Automated Symbolic Learning”) team. He originally worked on symbolic machine learning and knowledge engineering. His “thèse d'état”, defended in 1987, was a pioneering work on the algebraic framework on which the association rule extraction techniques are based. Today, his main scientific interests cover different areas of artificial intelligence: scientific discovery, cognitive modeling, data-mining, and digital humanities. He has published more than 350 scientific papers in conference proceedings, journals, and books. In the past, Jean-Gabriel Ganascia was also program leader in the CNRS executive from 1988 to 1992 before moving to direct the Cognitive Science Coordinated Research Program and head the Cognition Sciences Scientific Interest Group from 1993 until 2000.

Publications

Next Generation Search Engines: Advanced Models for Information Retrieval
Next Generation Search Engines: Advanced Models for Information Retrieval
Christophe Jouis, Ismail Biskri, Jean-Gabriel Ganascia, Magali Roux. © 2012. 560 pages.
Recent technological progress in computer science, Web technologies, and the constantly evolving information available on the Internet has drastically changed the landscape of...