Advertisement

Tuuurbine: A Generic CBR Engine over RDFS

  • Emmanuelle Gaillard
  • Laura Infante-Blanco
  • Jean Lieber
  • Emmanuel Nauer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8765)

Abstract

This paper presents Tuuurbine, a case-based reasoning (CBR) system for the Semantic Web. Tuuurbine is built as a generic CBR system able to reason on knowledge stored in RDF format; it uses Semantic Web technologies like RDF/RDFS, RDF stores, SPARQL, and optionally Semantic Wikis. Tuuurbine implements a generic case-based inference mechanism in which adaptation consists in retrieving similar cases and in replacing some features of these cases in order to obtain one or more solutions for a given query. The search for similar cases is based on a generalization/specialization method performed by means of generalization costs and adaptation rules. The whole knowledge (cases, domain knowledge, costs, adaptation rules) is stored in an RDF store.

Keywords

generic CBR engine Semantic Web RDFS triple store 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cordier, A., et al.: Taaable: a Case-Based System for personalized Cooking. In: Montani, S., Jain, L.C. (eds.) Successful Case-based Reasoning Applications-2. SCI, vol. 494, pp. 121–162. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  2. 2.
    Cordier, A., Lieber, J., Molli, P., Nauer, E., Skaf-Molli, H., Toussaint, Y.: WIKITAAABLE: A semantic wiki as a blackboard for a textual case-based reasoning system. In: SemWiki 2009 - 4th Semantic Wiki Workshop at the 6th European Semantic Web Conference - ESWC 2009, Heraklion, Grèce (May 2009)Google Scholar
  3. 3.
    Badra, F., Bendaoud, R., Bentebibel, R., Champin, P.-A., Cojan, J., Cordier, A., Després, S., Jean-Daubias, S., Lieber, J., Meilender, T., Mille, A., Nauer, E., Napoli, A., Toussaint, Y.: TAAABLE: Text Mining, Ontology Engineering, and Hierarchical Classification for Textual Case-Based Cooking. In: Schaaf, M. (ed.) 9th European Conference on Case-Based Reasoning - ECCBR 2008, Workshop Proceedings, Trier, Allemagne, pp. 219–228 (2008)Google Scholar
  4. 4.
    Shakespeare, W.: Romeo and Juliet (1597)Google Scholar
  5. 5.
    Richter, M.M.: Introduction. In: Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (eds.) Case-Based Reasoning Technology. LNCS (LNAI), vol. 1400, pp. 1–15. Springer, Heidelberg (1998)CrossRefGoogle Scholar
  6. 6.
    Maximini, K., Maximini, R., Bergmann, R.: An investigation of generalized cases. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS (LNAI), vol. 2689, pp. 261–275. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  7. 7.
    Recio-García, J.A., González-Calero, P.A., Díaz-Agudo, B.: jcolibri2: A framework for building case-based reasoning systems. Science of Computer Programming (79), 126–145 (2014)Google Scholar
  8. 8.
    Dufour-Lussier, V., Lieber, J., Nauer, E., Toussaint, Y.: Improving case retrieval by enrichment of the domain ontology. In: Ram, A., Wiratunga, N. (eds.) ICCBR 2011. LNCS, vol. 6880, pp. 62–76. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  9. 9.
    Bach, K., Althoff, K.-D.: Developing case-based reasoning applications using myCBR 3. In: Díaz Agudo, B., Watson, I. (eds.) ICCBR 2012. LNCS (LNAI), vol. 7466, pp. 17–31. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  10. 10.
    Cojan, J., Lieber, J.: Applying belief revision to case-based reasoning. In: Prade, H., Richard, G. (eds.) Computational Approaches to Analogical Reasoning: Current Trends. SCI, vol. 548, pp. 133–161. Springer, Heidelberg (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Emmanuelle Gaillard
    • 1
    • 2
    • 3
  • Laura Infante-Blanco
    • 1
    • 2
    • 3
  • Jean Lieber
    • 1
    • 2
    • 3
  • Emmanuel Nauer
    • 1
    • 2
    • 3
  1. 1.Université de Lorraine, LORIAVandœuvre-lès-NancyFrance
  2. 2.CNRSVandœuvre-lès-NancyFrance
  3. 3.InriaVillers-lès-NancyFrance

Personalised recommendations