Knowledge acquisition and discovery for the textual case-based cooking system WIKITAAABLE - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2009

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

Julien Cojan
  • Function : Author
  • PersonId : 836380
Jean Lieber
Thomas Meilender
  • Function : Author
  • PersonId : 855192
Pascal Molli
Emmanuel Nauer
Amedeo Napoli
Hala Skaf-Molli

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.
Fichier principal
Vignette du fichier
papier-soumission-taaable2.pdf (391.01 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

inria-00411508 , version 1 (27-08-2009)

Identifiers

  • HAL Id : inria-00411508 , version 1

Cite

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⟩
620 View
310 Download

Share

More