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The COLIBRI Platform: Tools, Features and Working Examples

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Successful Case-based Reasoning Applications-2

Part of the book series: Studies in Computational Intelligence ((SCI,volume 494))

Abstract

COLIBRI is an open source platform for the development of Case-based reasoning (CBR) systems. It supports the development of different families of specialized CBR systems: from Textual CBR to Knowledge Intensive applications. This chapter provides a functional description of the platform, its capabilities and tools. These features are illustrated with real examples of working systems that have been developed using COLIBRI. This overview should serve to motivate and guide those readers that plan to develop CBR systems and are looking for a tool that eases this task.

Supported by Spanish Ministry of Science & Education (TIN2009-13692-C03-03), Madrid Education Council and UCM (Group 910494), and the Spanish Ministry of Economy and Competitiveness (IPT-2011-1890-430000).

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Notes

  1. 1.

    The complete list of applications and their references to colibri is available on the project web page http://gaia.fdi.ucm.es/research/colibri/people-users-apps.

  2. 2.

    Download, reference and academic publications can be fount at the web site: www.jcolibri.net.

  3. 3.

    Available at: www.colibricbrstudio.net.

  4. 4.

    http://www.eclipse.org

  5. 5.

    Java 2 Enterprise Edition.

  6. 6.

    http://www.hibernate.org

  7. 7.

    Maintenance components were contributed to the library by Lisa Cummins and Derek Bridge from the University College of Cork, Ireland.

  8. 8.

    The visualization facility was contributed by Josep Lluis Arcos (Artificial Intelligence Research Institute, Spain).

  9. 9.

    http://gaia.fdi.ucm.es/research/colibri/jcolibri/contributions

  10. 10.

    This extension was developed in collaboration with Nirmalie Wiratunga from The Robert Gordon University, U.K.

  11. 11.

    http://opennlp.sourceforge.net

  12. 12.

    http://gate.ac.uk

  13. 13.

    http://project.carrot2.org/

  14. 14.

    The recommenders extension has been developed in collaboration with Derek Bridge from University College Cork, Ireland.

  15. 15.

    http://gaia.fdi.ucm.es/

  16. 16.

    Thunder was developed in collaboration with Albert Fornells, from Universitat Ramon Llull, Spain. Available at: http://gaia.fdi.ucm.es/research/colibri/jcolibri/contributions.

  17. 17.

    http://www.cs.waikato.ac.nz/ml/weka/

  18. 18.

    JADE is a framework for building multi-agent systems following the FIPA specifications. It is available at: http://jade.tilab.com/.

  19. 19.

    Foundation for Intelligent Physical Agents. http://www.fipa.org/.

  20. 20.

    ALADIN and SALADIN extensions are available at: http://gaia.fdi.ucm.es/research/colibri/jcolibri/contributions.

  21. 21.

    This extension is also available at http://gaia.fdi.ucm.es/research/colibri/jcolibri/contributions.

  22. 22.

    http://www.cs.indiana.edu/~sbogaert/CBR/

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  1. University Complutense of Madrid, Madrid, Spain

    Juan A. Recio-García, Belén Díaz-Agudo & Pedro A. González-Calero

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    Stefania Montani

  2. Faculty of Education, Science, Technology & Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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Recio-García, J.A., Díaz-Agudo, B., González-Calero, P.A. (2014). The COLIBRI Platform: Tools, Features and Working Examples. In: Montani, S., Jain, L. (eds) Successful Case-based Reasoning Applications-2. Studies in Computational Intelligence, vol 494. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38736-4_5

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