Case-Based Cooking with Generic Computer Utensils: Taaable Next Generation
Identifieur interne : 000926 ( Main/Exploration ); précédent : 000925; suivant : 000927Case-Based Cooking with Generic Computer Utensils: Taaable Next Generation
Auteurs : Emmanuelle Gaillard [France] ; Jean Lieber [France] ; Emmanuel Nauer [France]Source :
English descriptors
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Abstract
This paper presents the participation of the Taaable team in the 2014 Computer Cooking Contest. The three challenges proposed this year are addressed. The basic challenge is addressed with a new version of the Taaable system, built on Tuuurbine, a generic case-basedreasoning system over RDFS. The mixology challenge which requires building recipes only by using a set of available foods is also directly addressed using Tuuurbine conjointly with Revisor, an adaptation engine implementing various revision operators. For the mixology challenge,Revisor is used to compute ingredient substitutions and to adjust the ingredient quantities. The taste score is evaluated as the probability that the adapted cocktail is tasty, depending on the probabilities that the retrieved recipe and the adaptation performed are good. The text of the preparation is adapted using textual substitutions. Finally, the originality challenge addresses reasoning on knowledge built collaboratively by an e-community, taking into account the reliability of knowledge units.
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Le document en format XML
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CNRS)</orgName><desc><address><country key="FR"></country></address></desc></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>adaptation of ingredient quantities</term><term>adaptation of recipe preparations</term><term>belief revision</term><term>case-based reasoning</term><term>knowledge reliability</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents the participation of the Taaable team in the 2014 Computer Cooking Contest. The three challenges proposed this year are addressed. The basic challenge is addressed with a new version of the Taaable system, built on Tuuurbine, a generic case-basedreasoning system over RDFS. The mixology challenge which requires building recipes only by using a set of available foods is also directly addressed using Tuuurbine conjointly with Revisor, an adaptation engine implementing various revision operators. For the mixology challenge,Revisor is used to compute ingredient substitutions and to adjust the ingredient quantities. The taste score is evaluated as the probability that the adapted cocktail is tasty, depending on the probabilities that the retrieved recipe and the adaptation performed are good. The text of the preparation is adapted using textual substitutions. Finally, the originality challenge addresses reasoning on knowledge built collaboratively by an e-community, taking into account the reliability of knowledge units.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Gaillard, Emmanuelle" sort="Gaillard, Emmanuelle" uniqKey="Gaillard E" first="Emmanuelle" last="Gaillard">Emmanuelle Gaillard</name></region><name sortKey="Lieber, Jean" sort="Lieber, Jean" uniqKey="Lieber J" first="Jean" last="Lieber">Jean Lieber</name><name sortKey="Nauer, Emmanuel" sort="Nauer, Emmanuel" uniqKey="Nauer E" first="Emmanuel" last="Nauer">Emmanuel Nauer</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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