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2016 | OriginalPaper | Chapter

Analogical Transfer in RDFS, Application to Cocktail Name Adaptation

Authors : Nadia Kiani, Jean Lieber, Emmanuel Nauer, Jordan Schneider

Published in: Case-Based Reasoning Research and Development

Publisher: Springer International Publishing

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Abstract

This paper deals with analogical transfer in the framework of the representation language RDFS. The application of analogical transfer to case-based reasoning consists in reusing the problem-solution dependency to the context of the target problem; thus it is a general approach to adaptation. RDFS is a representation language that is a standard of the semantic Web; it is based on RDF, a graphical representation of data, completed by an entailment relation. A dependency is therefore represented as a graph representing complex links between a problem and a solution, and analogical transfer uses, in particular, RDFS entailment. This research work is applied (and inspired from) the issue of cocktail name adaptation: given a cocktail and a way this cocktail is adapted by changing its ingredient list, how can the cocktail name be modified?

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Footnotes
1
For instance, the adjective "cheesy" is added to the recipe name if the adapted recipe of a sandwich contains some cheese. This is not a published material, though. In the paper [10], the accent is put on other issues. The authors wish to thank Gilbert Müller and Ralph Bergmann for having given them some hints about the recipe adaptation in CookingCAKE.
 
5
The CWA is assumed: if it cannot be entailed that a recipe contains some alcohol, then it is concluded that it does not.
 
6
In particular, http://​www.​1001cocktails.​com/​ has proven to be useful, since it contains descriptions of cocktails with some named variants.
 
7
Actually, the 9 of Sect. 6.3 could also be counted as modeled by Sect. 6.4: the second strategy generalizes the latter.
 
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Metadata
Title
Analogical Transfer in RDFS, Application to Cocktail Name Adaptation
Authors
Nadia Kiani
Jean Lieber
Emmanuel Nauer
Jordan Schneider
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-47096-2_15

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