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2014 | OriginalPaper | Buchkapitel

7. Taaable: A Case-Based System for Personalized Cooking

verfasst von : Amélie Cordier, Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer, Fadi Badra, Julien Cojan, Emmanuelle Gaillard, Laura Infante-Blanco, Pascal Molli, Amedeo Napoli, Hala Skaf-Molli

Erschienen in: Successful Case-based Reasoning Applications-2

Verlag: Springer Berlin Heidelberg

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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. Its success is due, in particular, to a smart combination of various methods and techniques from knowledge-based systems: CBR, knowledge representation, knowledge acquisition and discovery, knowledge management, and natural language processing. In this chapter, we describe Taaable and its modules. We first present the CBR engine and features such as the retrieval process based on minimal generalization of a query and the different adaptation processes available. Next, we focus on the knowledge containers used by the system. We report on our experiences in building and managing these containers. The Taaable system has been operational for several years and is constantly evolving. To conclude, we discuss the future developments: the lessons that we learned and the possible extensions.

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Vorheriges Kapitel Case-Based Reasoning to Support Annotating Manuscripts in Digital Archives

Nur mit Berechtigung zugänglich

http://computercookingcontest.net

http://kolflow.univ-nantes.fr

http://taaable.fr

For the adaptation challenge, the recipe base contains a sole case, the recipe that must be adapted.

\(\mathtt{cabbage }\) is not a subclass of \(\mathtt{inflorescentvegetable }\) (drumhead cabbages are not flowers), neither is \(\mathtt{inflorescentvegetable }\) a subclass of \(\mathtt{cabbage }\) (artichokes are inflorescent vegetables).

http://lpsolve.sourceforge.net/5.5/

http://www.foodsubs.com

http://www.freebase.com

http://www.recipesource.com

http://www.nal.usda.gov

http://wikitaaable.loria.fr/

http://semantic-mediawiki.org

It can be noticed that at least one repair strategy is always applicable for a selected explanation pattern. Indeed, if the explanation pattern corresponds to a dependence of the form “\(x\) requires \(y\)”, then either \({\mathtt{tgt }} \mathrel {{\models }_\mathtt{DK }}\not y\) or \({\mathtt{tgt }} \not \mathrel {{\models }_\mathtt{DK }}\not y\) holds. If the explanation pattern corresponds to a dependence of the form “\(x\) and \(y\) are incompatible”, then \({\mathtt{tgt }} \mathrel {{\models }_\mathtt{DK }}x\) and \({\mathtt{tgt }} \mathrel {{\models }_\mathtt{DK }}y\) holding simultaneously would mean that \({\mathtt{tgt }}\) contains two incompatible ingredients.

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Titel: Taaable: A Case-Based System for Personalized Cooking
verfasst von: Amélie Cordier
Valmi Dufour-Lussier
Jean Lieber
Emmanuel Nauer
Fadi Badra
Julien Cojan
Emmanuelle Gaillard
Laura Infante-Blanco
Pascal Molli
Amedeo Napoli
Hala Skaf-Molli
Verlag: Springer Berlin Heidelberg
Buch: Successful Case-based Reasoning Applications-2
Print ISBN: 978-3-642-38735-7

Electronic ISBN: 978-3-642-38736-4

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-38736-4_7

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