Skip to Main content Skip to Navigation
New interface
Journal articles

TAAABLE: a case-based reasoning system which adapts cooking recipes

Emmanuelle Gaillard 1 Jean Lieber 2 Emmanuel Nauer 2 
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : TAAABLE is a Case-Based Reasoning (CBR) system that uses a recipe book as a case base to answer cooking queries. TAAABLE participates in the Computer Cooking Contest since 2008, and succeeds thanks to a smart combination of various knowledge-based system methods and techniques, such as: CBR, knowledge representation, acquisition, discovery and management, and natural language processing. In this paper, we first present the CBR engine and its features such as the retrieval process based on minimal generalization of a query and different adaptation processes. Then the knowledge containers used by the system, and how they were acquired is detailed. To conclude, we discuss some research developments resulting from this application.
Document type :
Journal articles
Complete list of metadata
Contributor : Emmanuel Nauer Connect in order to contact the contributor
Submitted on : Wednesday, December 6, 2017 - 4:15:28 PM
Last modification on : Thursday, August 4, 2022 - 5:18:46 PM



Emmanuelle Gaillard, Jean Lieber, Emmanuel Nauer. TAAABLE: a case-based reasoning system which adapts cooking recipes . Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2017, 31 (1-2), pp.207 - 235. ⟨10.3166/ria.31.207-235⟩. ⟨hal-01657387⟩



Record views