Research and application domains
Background and Fundamentals
- Elements on Knowledge Systems and Semantic Web
- Elements on Text Mining
- From KDD to KDDK
- Methods for Knowledge Discovery guided by Domain Knowledge
- Around the Kasimir research project
- Around the Taaable research project
- KDDK in Life Sciences
- Molecular Dynamics
- Structural Systems Biology and Docking
- The Mining of Complex Data
- Virtual Screening
The Taaable system  won the first prize and the adaptation challenge of the 2010 "Computer Cooking Contest" (CCC), at the 18th International Conference on Case-Based Reasoning (ICCBR), in Alessandria (Italy). This is the third year that the Taaable system is developed for participating in this challenge. The Taaable system is available on line at http://taaable.fr. This system is designed with the collaboration of the Score Team at LORIA and of the SILEX team (LIRIS Lyon). The Taaable system won the second prize in the first CCC  at the European Conference on Case-Based Reasoning in Trier (Germany, September 2008) The system also won the the second prize in the second "Computer Cooking Contest" (at ICCBR-2009, Seattle, USA) . The design of the Taaable system involves a large part of the Orpailleur team, and needs joint efforts and combination of many skills and capabilities, such as knowledge representation, ontology engineering, classification, case-based reasoning, text-mining, information retrieval, and semantic wikis.
The application of KDDK process in the domain of Life Sciences made progress in 2010. Fast algorithms for 3D-shape classification and docking were designed, based on spherical harmonics and GPU programming. Dave Ritchie and others have organized a successful blind shape comparison experiment in the framework of Eurographics Workshop on 3D Object Retrieval (SHREC’10 Track:Protein Models, Norrköping, Sweden, 2010). The GPU version of the well-known Hex docking program is more than 45 times faster in docking computation (http://hexserver.loria.fr).