Man-Machine Collaboration to Acquire Cooking Adaptation Knowledge for the TAAABLE Case-Based Reasoning System

Amélie Cordier 1 Emmanuelle Gaillard 2 Emmanuel Nauer 2
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
2 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : This paper shows how humans and machines can better collaborate to acquire adaptation knowledge (AK) in the framework of a case-based reasoning (CBR) system whose knowledge is encoded in a semantic wiki. Automatic processes like the CBR reasoning process itself, or speci c tools for acquiring AK are integrated as wiki extensions. These tools and processes are combined on purpose to collect AK. Users are at the center of our approach, as they are in a classical wiki, but they will now bene t from automatic tools for helping them to feed the wiki. In particular, the CBR system, which is currently only a consumer for the knowledge encoded in the semantic wiki, will also be used for producing knowledge for the wiki. A use case in the domain of cooking is given to exemplify the man-machine collaboration.
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Submitted on : Thursday, May 10, 2012 - 3:09:23 PM
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Amélie Cordier, Emmanuelle Gaillard, Emmanuel Nauer. Man-Machine Collaboration to Acquire Cooking Adaptation Knowledge for the TAAABLE Case-Based Reasoning System. SWCS Semantic Web Collaborative Spaces, Apr 2012, Lyon, France. pp.1113-1120. ⟨hal-00696013⟩

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