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2016 | OriginalPaper | Buchkapitel

Analogical Transfer in RDFS, Application to Cocktail Name Adaptation

verfasst von : Nadia Kiani, Jean Lieber, Emmanuel Nauer, Jordan Schneider

Erschienen in: Case-Based Reasoning Research and Development

Verlag: 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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Vorheriges Kapitel Similarity Metrics from Social Network Analysis for Content Recommender Systems

Nächstes Kapitel Adaptation-Guided Feature Deletion: Testing Recoverability to Guide Case Compression

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.

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In particular, http://www.1001cocktails.com/ has proven to be useful, since it contains descriptions of cocktails with some named variants.

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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Titel: Analogical Transfer in RDFS, Application to Cocktail Name Adaptation
verfasst von: Nadia Kiani
Jean Lieber
Emmanuel Nauer
Jordan Schneider
Verlag: Springer International Publishing
Buch: Case-Based Reasoning Research and Development
Print ISBN: 978-3-319-47095-5

Electronic ISBN: 978-3-319-47096-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-47096-2_15

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