Adaptation of TAAABLE to the CCC'2017 Mixology and Salad Challenges, Adaptation of the Cocktail Names

نویسندگان

  • Emmanuelle Gaillard
  • Jean Lieber
  • Emmanuel Nauer
چکیده

This paper presents the submission of the TAAABLE team to the 2017 Computer Cooking Contest. All challenges except the sandwich challenge are addressed. Online systems have been developed for the salad and mixology challenges by adapting previous successful CCC TAAABLE systems to the requirements of the 2017 challenges. However, this paper presents two main contributions. The first contribution is a new approach based on adaptation rules for managing the ingredients available for adapting salad recipes, and the second contribution is a work on cocktail name adaptation which is submitted to the open challenge. The cocktail name adaptation takes into account the name of the recipe which has to be adapted, knowledge about the name of the recipe and about the substituted and substituting ingredients. The naming process uses the problemsolution dependency to the context of the target problem, exploiting knowledge encoded in RDFS, a semantic Web representation language. This approach in the framework of the representation language RDFS is a general approach and can be applied in other problem solving contexts.

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تاریخ انتشار 2017