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Analogical Transfer in RDFS, Application to Cocktail Name Adaptation

  • Nadia Kiani
  • Jean LieberEmail author
  • Emmanuel Nauer
  • Jordan Schneider
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9969)

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?

Keywords

Adaptation Analogical transfer RDFS Cocktail name adaptation 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Nadia Kiani
    • 1
  • Jean Lieber
    • 2
    • 3
    • 4
    Email author
  • Emmanuel Nauer
    • 2
    • 3
    • 4
  • Jordan Schneider
    • 1
  1. 1.Université de Lorraine, SCA Master (Cognitive Sciences and Their Applications)NancyFrance
  2. 2.Université de Lorraine, LORIAVandœuvre-lès-NancyFrance
  3. 3.CNRSVandœuvre-lès-NancyFrance
  4. 4.InriaVillers-lès-NancyFrance

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