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Case Provenance: The Value of Remembering Case Sources

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Case-Based Reasoning Research and Development (ICCBR 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4626))

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Abstract

Case-based reasoning systems routinely record the results of prior problem-solving, but not the provenance of new cases: the way in which the new cases were derived. This paper proposes the value of tracking provenance information in CBR, especially when timely feedback may not be available. It illustrates the use of provenance information with studies of the application of provenance information to guide case-base maintenance. Experiments with two data sets illustrate the benefit of using provenance to propagate maintenance and to target maintenance effort.

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References

  1. Leake, D., Sooriamurthi, R.: Case dispatching versus case-base merging: When MCBR matters. International Journal of Artificial Intelligence Tools 13(1), 237–254 (2004)

    Article  Google Scholar 

  2. Göker, M., Roth-Berghofer, T.: Development and utilization of a case-based help-desk support system in a corporate environment. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) Case-Based Reasoning Research and Development. LNCS (LNAI), vol. 1650, pp. 132–146. Springer, Heidelberg (1999)

    Google Scholar 

  3. Evans, M.: Knowledge and Work in Context: A Case of Distributed Troubleshooting Across Ship and Shore. PhD thesis, Indiana University (2004)

    Google Scholar 

  4. Partington, N.: CIS helpdesk feedback statistics (2006) last modified (October 2, 2006), Accessed at http://www.ljmu.ac.uk/cis/aboutCIS/79910.htm

  5. Hammond, K.: Case-Based Planning: Viewing Planning as a Memory Task. Academic Press, San Diego (1989)

    Google Scholar 

  6. Cheetham, W., Price, J.: Measures of solution accuracy in case-based reasoning systems. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 106–118. Springer, Heidelberg (2004)

    Google Scholar 

  7. Borron, J., Morales, D., Klahr, P.: Developing and deploying knowledge on a global scale. In: Proceedings of the Thirteenth National Conference on Artifical Intelligence, vol. 2, pp. 1443–1454. AAAI Press, Menlo Park, CA (1996)

    Google Scholar 

  8. Shortliffe, E.: Computer-based medical consultations: MYCIN. American Elsevier, New York (1976)

    Google Scholar 

  9. Leake, D., Smyth, B., Wilson, D., Yang, Q. (eds.): Maintaining Case-Based Reasoning Systems. Blackwell (2001) Special issue of Computational Intelligence, 17(2) (2001)

    Google Scholar 

  10. Bogaerts, S., Leake, D.: IUCBRF: A framework for rapid and modular CBR system development. Technical Report TR 617, Computer Science Department, Indiana University, Bloomington, IN (2005)

    Google Scholar 

  11. Blake, C., Merz, C.: UCI repository of machine learning databases (2000), http://www.ics.uci.edu/~mlearn/MLRepository.html

  12. Simmhan, Y., Plale, B., Gannon, D.: A survey of data provenance in e-science. SIGMOD Record 34(3), 31–36 (2005)

    Article  Google Scholar 

  13. Murdock, J., McGuiness, D., da Silva, P.P., Welty, C., Ferrucci, D.: Explaining conclusions from diverse knowledge sources. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 861–872. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  14. Doyle, J.: A truth maintenance system. Artificial Intelligence 12, 231–272 (1979)

    Article  MathSciNet  Google Scholar 

  15. Goel, A., Murdock, J.: Meta-cases: Explaining case-based reasoning. In: Smith, I., Faltings, B.V. (eds.) Advances in Case-Based Reasoning. LNCS, vol. 1168, pp. 150–163. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  16. Fox, S., Leake, D.: Modeling case-based planning for repairing reasoning failures. In: Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms, pp. 31–38. AAAI Press, Menlo Park, CA (1995)

    Google Scholar 

  17. Cunningham, P., Doyle, D., Loughrey, J.: An evaluation of the usefulness of case-based explanation. In: Ashley, K.D., Bridge, D.G. (eds.) ICCBR 2003. LNCS, vol. 2689, pp. 122–130. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

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Rosina O. Weber Michael M. Richter

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Leake, D., Whitehead, M. (2007). Case Provenance: The Value of Remembering Case Sources. In: Weber, R.O., Richter, M.M. (eds) Case-Based Reasoning Research and Development. ICCBR 2007. Lecture Notes in Computer Science(), vol 4626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74141-1_14

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  • DOI: https://doi.org/10.1007/978-3-540-74141-1_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74138-1

  • Online ISBN: 978-3-540-74141-1

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