Knowledge Technologies: A ReUse Perspective

(Extended Abstract)
  • Derek Sleeman
Conference paper


In 2000 the EPSRC funded an Interdisciplinary Research Collaboration (IRC) in Advanced Knowledge Technologies for the period 2000–2006, which involves 5 UK Universities: Aberdeen, Edinburgh, OU, Sheffield & Southampton. The project seeks to provide an intellectual underpinning for much of eCommerce, and at the same time it is contributing to the definition & realization of the Semantic Web. Six grand challenges have been identified, namely: Knowledge Acquisition, Modelling, Use/ReUse, Retrieval, Knowledge Publishing, & Maintenance. Considerable effort is being expended to ensure that the different knowledge sources can inter-operate. Additionally, several industrial test beds should ensure that the group’s earlier & new technologies are integrated; these test beds are in the service & manufacturing sectors, and AKT is also applying these techniques to the Consortium’s own information management. In the talk I plan to review each of the above activities, but will focus on ReUse (a holy grail for KBS Research). I will give an overview of what has been achieved to date, & will discuss several current projects in this sub-area.


Knowledge Acquisition Knowledge Source Grand Challenge Knowledge Engineer Brokering Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Shortliffe, EH (1976). Computer-based Medical Consultation: MYCIN. New York: American Elsevier.Google Scholar
  2. 2.
    Kalfoglou, Y, Menzies, T, Althoff, K-D, & Motta, E. (2000). Meta-Knowledge in systems design: Panacea or undelivered promise. Knowledge Engineering Review, Vol 15, 4, pp381 - 404.CrossRefGoogle Scholar
  3. 3.
    Winter, M & Sleeman, D (1995). REFINER+: An Efficient System for Detecting and Removing Inconsistencies in Example Sets. In Research & Development in Expert Systems XII (eds MA Bramer, JL Nealon & R Milne). Oxford: Information Press Ltd. pp 115–132.Google Scholar
  4. 4.
    Alberdi, E & Sleeman, D. (1997). ReTAX: a step in the automation of taxonomic revision. Artificial Intelligence, p 257–279.Google Scholar
  5. 5.
    Winter, M, Sleeman, D & Parsons, T (1997). Inventory Management using Constraint Satisfaction and Knowledge Refinement Techniques. In Proceedings of ES97 (J Hunt & R Miles (eds)) Publ: Oxford: SGES press (ISBN 1 899621 20 2), pp 277–293.Google Scholar
  6. 6.
    Carbonara, L & Sleeman, D. (1999). Effective and Efficient Knowledge Base Refinement. Machine Learning, Vol 37, pp143–181.MATHCrossRefGoogle Scholar
  7. 7.
    Preece, A, Hui, K, Gray, A, Marti, P, Bench-Capon, T, Jones, D & Cui, Z. The KRAFT Architecture for Knowledge Fusion and Transformation, In M Bramer, A Macintosh & F Coenen (eds) Research and Development in Intelligent Systems XVI (Proc ES99), Springer, pages 23–38, 1999.Google Scholar
  8. 8.
    Puppe, F., (1998), “Knowledge Reuse among Diagnostic Problem-Solving Methods in the Shell-Kit D3”, International Journal of Human-Computer Studies, Academic Press, Vol. 49, No. 4, pp. 627–649.CrossRefGoogle Scholar
  9. 9.
    Gennari, J. H., Cheng, H., Altman, R. B., Musen, M. A., (1998), “Reuse, CORBA, and Knowledge-based Systems”, International Journal of Human-Computer Studies, Vol. 49, No. 4, pp. 523–546.CrossRefGoogle Scholar
  10. 10.
    White, S & Sleeman, D. (1999). A Constraint-based Approach to the Description of Competence. Knowledge Acquisition, Modeling & Management eds D. Fensel and R. Studer. Publ: Springer, p291–308.Google Scholar
  11. 11.
    White, S & Sleeman, D. (to appear). A Grammar-Driven Knowledge Acquisition Tool that incorporates Constraint Propagation. Proceedings of the 1st International Conference on Knowledge Capture (K-Cap’0I).Google Scholar

Copyright information

© Springer-Verlag London 2002

Authors and Affiliations

  • Derek Sleeman
    • 1
  1. 1.Computing Science DepartmentThe University AberdeenUK

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