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International Conference on Case-Based Reasoning

ICCBR 1997: Case-Based Reasoning Research and Development pp 84–93Cite as

CBR for document retrieval: The FAllQ project

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1266))

Abstract

This paper reports about a project on document retrieval in an industrial setting. The objective is to provide a tool that helps finding documents related to a given query, such as answers in Frequently Asked Questions databases. A CBR approach has been used to develop a running prototypical system which is currently under practical evaluation.

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References

  1. K. L. Branting and J. C. Lester. Justification structures for document reuse. In Smith and Faltings [10], pp. 76–90.

    Google Scholar 

  2. G. Kamp. On the use of CBR in corporate service and support. In M. T. Keane, J. P. Haton, and M. Manago, editors, 2nd European Workshop on CBR (EWCBR-94), pp. 175–183

    Google Scholar 

  3. M. Lenz and H.-D. Burkhard. Case Retrieval Nets: Basic ideas and extensions. In G. Görz and S. Hölldobler, editors, KI-96: Advances in Artificial Intelligence, pp. 227–239, LNAI 1137, Springer Verlag, 1996.

    Google Scholar 

  4. M. Lenz and H.-D. Burkhard. Lazy propagation in Case Retrieval Nets. In W. Wahlster, editor, Proc. ECAI-96, pp. 127–131, John Wiley and Sons, 1996.

    Google Scholar 

  5. M. Lenz, H.-D. Burkhard, and S. Brückner. Applying Case Retrieval Nets to diagnostic tasks in technical domains. In Smith and Faltings [10], pp. 219–233.

    Google Scholar 

  6. M. Lenz, H.-D. Burkhard, P. Pirk, E. Auriol, and M. Manago. CBR for Diagnosis and Decision Support. AI Communications, 9(3):138–146, 1996.

    Google Scholar 

  7. E. Riloff and W. Lehnert. Information extraction as a basis for high-precision text classification. ACM Transactions on Information Systems, 12(3):296–333, 1994.

    Google Scholar 

  8. G. Salton and M. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, New York, 1983.

    Google Scholar 

  9. J. Searle. Speech Acts: An Essay in the Philosophy of Language. Cambridge University Press, New York, 1969.

    Google Scholar 

  10. I. Smith and B. Faltings, editors. Advances in Case-Based Reasoning, LNAI 1186. Springer Verlag, 1996.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Humboldt University Berlin, Axel-Springer-Str. 54a, D-10117, Berlin, Germany

    Mario Lenz & Hans-Dieter Burkhard

Authors
  1. Mario Lenz
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  2. Hans-Dieter Burkhard
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Editor information

David B. Leake Enric Plaza

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© 1997 Springer-Verlag Berlin Heidelberg

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Lenz, M., Burkhard, HD. (1997). CBR for document retrieval: The FAllQ project. In: Leake, D.B., Plaza, E. (eds) Case-Based Reasoning Research and Development. ICCBR 1997. Lecture Notes in Computer Science, vol 1266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63233-6_481

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  • DOI: https://doi.org/10.1007/3-540-63233-6_481

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63233-7

  • Online ISBN: 978-3-540-69238-6

  • eBook Packages: Springer Book Archive

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