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Lessons learned in the development and implementation of a bilingual nationally accessible knowledge-based system

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Advances in Artificial Intelligence (Canadian AI 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1418))

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Abstract

The lessons learned in the development and implementation of a knowledge-based system at Revenue Canada are presented. Numerous development decisions were made including determining how to capture and represent a large set of complex rules and selecting the appropriate system development methodology. In addition, many technical challenges were overcome such as providing a fully bilingual system, and storing incomplete waiver determinations. This paper will discuss these issues and their resolution. The paper concludes with the characteristics of a successful knowledge-based project based on the experiences of Revenue Canada.

This work was carried out while the authors were with Revenue Canada's Information Technology Branch

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References

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Author information

Authors and Affiliations

  1. Interim Manager, Reporting and Research Section, Revenue Collections Directorate, Revenue Canada, Room 7036, 400 Cumberland Street, K1A OL8, Ottawa, Ontario

    Brett Hodges

  2. Consultant, DRT Systems International, Deloitte & Touche Consulting Group, Suite 200, 1101 Prince of Wales Drive, K2C 3W7, Ottawa, Ontario

    Larry Hodgson

Authors
  1. Brett Hodges
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  2. Larry Hodgson
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Editor information

Robert E. Mercer Eric Neufeld

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© 1998 Springer-Verlag Berlin Heidelberg

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Hodges, B., Hodgson, L. (1998). Lessons learned in the development and implementation of a bilingual nationally accessible knowledge-based system. In: Mercer, R.E., Neufeld, E. (eds) Advances in Artificial Intelligence. Canadian AI 1998. Lecture Notes in Computer Science, vol 1418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64575-6_51

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  • DOI: https://doi.org/10.1007/3-540-64575-6_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64575-7

  • Online ISBN: 978-3-540-69349-9

  • eBook Packages: Springer Book Archive

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