Acquisition et extraction de connaissances pour le système de raisonnement à partir de cas textuels WikiTaaable

Fadi Badra (1) , Julien Cojan (1) , Amélie Cordier (2) , Jean Lieber (1) , Thomas Meilender (1) , Alain Mille (2) , Pascal Molli (1) , Emmanuel Nauer (1) , Amedeo Napoli (1) , Hala Skaf-Molli (1) , Yannick Toussaint (1)

1 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 SILEX - Supporting Interaction and Learning by Experience

The textual case-based cooking system \wikitaaable 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.

Domaines: Informatique [cs]

Fadi Badra, Julien Cojan, Amélie Cordier, Jean Lieber, Thomas Meilender, et al.. Acquisition et extraction de connaissances pour le système de raisonnement à partir de cas textuels WikiTaaable. 17ème atelier de Raisonnement à Partir de Cas, Jun 2009, Paris, France. pp.13-22. ⟨hal-01437739⟩