Skip to main content

Ontology based CBR with jCOLIBRI

  • Conference paper
Applications and Innovations in Intelligent Systems XIV (SGAI 2006)

Abstract

jCOLIBRI1 is a Java framework that helps designing Case Based Reasoning systems. This paper presents the incorporation of Description Logics reasoning capabilities to the new release of the framework. With this extension jCOLIBRI facilitates the development of Knowledge Intensive CBR applications. Ontologies are useful regarding different aspects: as the vocabulary to describe cases and/or queries, as a knowledge structure where the cases are located, and as the knowledge source to achieve semantic reasoning methods for similarity assessment and case adaptation that are reusable across different domains.

Supported by the Spanish Committee of Science & Technology (TIN05-09382-C02-01)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Aamodt. Knowledge intensive case-based reasoning and sustained learning. In Procs. 9th European Conference on Artificial Intelligence (ECAI-90), pages 1–6, 1990.

    Google Scholar 

  2. K. D. Ashley and V. Aleven. A Logical Representation for Relevance Criteria. In EWCBR’ 93: Selected papers from the First European Workshop on Topics in CBR, volume 837 of LNCS, pages 338–352, London, UK, 1994. Springer-Verlag.

    Google Scholar 

  3. R. Bergmann and A. Stahl. Similarity Measures for Object-Oriented Case Representations. In B. Smyth and P. Cunningham, editors, Procs. of the 4th European Workshop on Advances in Case-Based Reasoning (EWCBR’ 98), volume 1488 of LNCS, pages 25–36. Springer-Verlag, 1998.

    Google Scholar 

  4. B. Díaz-Agudo and P. A. González-Calero. An Architecture for Knowledge Intensive CBR Systems. In E. Blanzieri and L. Portinale, editors, Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning (EWCBR’ 00), volume 1898 of LNCS, pages 37–48. Springer-Verlag, 2000.

    Google Scholar 

  5. B. Díaz-Agudo and P. A. González-Calero. Knowledge Intensive CBR through Ontologies. In B. Lees, editor, Procs of the 6ht UK CBR Workshop. 2001.

    Google Scholar 

  6. B. Diaz-Agudo and P. A. Gonzalez-Calero. Ontologies in the Context of Information Systems, chapter An ontological approach to develop Knowledge Intensive CBR systems, page 45. Springer-Verlag, 2006.

    Google Scholar 

  7. P. A. González-Calero, M. Gómez-Albarrán, and B. Díaz-Agudo. Applying DLs for Retrieval in Case-Based Reasoning. In Procs. of the 1999 Description Logics Workshop (Dl’ 99). Linkopings universitet, Sweden, 1999.

    Google Scholar 

  8. P. A. González-Calero, M. Gómez-Albarrán, and B. Díaz-Agudo. A Substitutionbased Adaptation Model. In Challenges for Case-Based Reasoning — Proc. of the ICCBR’99 Workshops. Univ. of Kaiserslautern, 1999.

    Google Scholar 

  9. P. A. González-Calero, M. Gómez-Albarrán, and B. Díaz-Agudo. A Substitutionbased Adaptation Model. In Procs. of the ICCBR’99 Workshops. University of Kaiserslautern, Germany, 1999.

    Google Scholar 

  10. G. Kamp. Using Description Logics for KI-CBR. In B. Faltings and I. Smith, editors, Third European Workshop on Case-Based Reasoning (EWCBR’96), volume 1168 of LNCS, pages 204–218. Springer-Verlag, Switzerland, 1996.

    Google Scholar 

  11. J. Koehler. An Application of Terminological Logics to CBR. In J. Doyle, E. Sandewall, and P. Torasso, editors, KR’ 94: Principles of Knowledge Representation and Reasoning, pages 351–362. Morgan Kaufmann, 1994.

    Google Scholar 

  12. J. Kolodner. Case-Based Reasoning. Morgan Kaufmann, San Mateo, 1993.

    Google Scholar 

  13. A. Napoli, J. Lieber, and R. Courien. Classification-Based Problem Solving in CBR. In I. Smith and B. Faltings, editors, Proceedings of the Third European Workshop on Advances in Case-Based Reasoning (EWCBR’ 96), volume 1168 of LNCS, pages 295–308. Springer-Verlag, 1996.

    Google Scholar 

  14. J. A. Recio, B. Díaz-Agudo, M. A. Gómez-Martín, and N. Wiratunga. Extending jCOLIBRI for textual CBR. In Procs. of 6th International Conference on CBR, ICCBR 2005, volume 3620 of LNCS, pages 421–435. Springer-Verlang, 2005.

    Google Scholar 

  15. S. Salotti and V. Ventos. Study and Formalization of a CBR System using a Description Logic. In Advances in Case-Based Reasoning (EWCBR’ 98), volume 1488 of LNCS, pages 286–301. Springer-Verlag, 1998.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag London Limited

About this paper

Cite this paper

Recio-Garía, J.A., Díaz-Agudo, B. (2007). Ontology based CBR with jCOLIBRI. In: Ellis, R., Allen, T., Tuson, A. (eds) Applications and Innovations in Intelligent Systems XIV. SGAI 2006. Springer, London. https://doi.org/10.1007/978-1-84628-666-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-666-7_12

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-665-0

  • Online ISBN: 978-1-84628-666-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics