Knowledge acquisition and discovery for the textual case-based cooking system WIKITAAABLE

Fadi Badra 1, * Julien Cojan 1 Amélie Cordier 2 Jean Lieber 1 Thomas Meilender 1 Alain Mille 2 Pascal Molli 3 Emmanuel Nauer 1 Amedeo Napoli 1 Hala Skaf-Molli 3 Yannick Toussaint 1
* Corresponding author
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 ECOO - Environment for cooperation
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The textual case-based cooking systemWIKITAAABLE participates to the second Computer cooking contest (CCC). It is an extension of the TAAABLE system that has participated to the first CCC. WIKITAAABLE's architecture is composed of a semantic wiki used for the collaborative acquisition of knowledge (recipe, ontology, adaptation knowledge) and of a case-based inference engine using this knowledge for retrieving and adapting recipes. This architecture allows various modes of knowledge acquisition for case-based reasoning that are studied within the TAAABLE project. In particular, opportunistic adaptation knowledge discovery is an approach for interactive and semi-automatic learning of adaptation knowledge triggered by a feedback from the user.
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Fadi Badra, Julien Cojan, Amélie Cordier, Jean Lieber, Thomas Meilender, et al.. Knowledge acquisition and discovery for the textual case-based cooking system WIKITAAABLE. 8th International Conference on Case-Based Reasoning - ICCBR 2009, Workshop Proceedings, Jul 2009, Seattle, United States. pp.249-258. ⟨inria-00411508⟩

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