Advertisement

The DARPA high performance knowledge bases programme

  • John Kingston
Invited Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1319)

Abstract

The HPKB programme aims to enable the development of very large knowledge bases which are comprehensive, reusable, maintainable, and address areas of interest to DARPA. These knowledge bases are expected to require foundation knowledge, knowledge acquisition facilities, and efficient problem solving techniques. The programme encourages development of multiple applications which will be tested against “challenge problems” at the end of each year of the programme.

Keywords

Knowledge Acquisition Efficient Problem Large Knowledge Base Knowledge Base Development Rome Laboratory 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [Cycorp1997]
    Cycorp. 1997. Cycorp, Inc. http://www.cyc.com/.Google Scholar
  2. [DARPA1997]
    DARPA. 1997. High Performance Knowledge Bases. http://www.teknowledge.com/HPKB/.Google Scholar
  3. [Doyle1997]
    Doyle, J. 1997. The MAITA project. http://medg.Ics.mit.edu/projects/maita/.Google Scholar
  4. [Gennari1997]
    Gennari, J. 1997. HPKB Project at the Section on Medical Informatics. http://www-smi.stanford.edu/projects/protege/Hpkb-web/.Google Scholar
  5. [Gil & Melz1996]
    Gil, Y., and Melz, E. 1996. Explicit Representation of Problem-Solving Strategies to Support Knowledge Acquisition. In Proceedings of AAAI-96. AAAI.Google Scholar
  6. [Kingston, Griffith, & Lydiard1997]
    Kingston, J. K.; Griffith, A.; and Lydiard, T. 1997. Multi-Perspective Modelling of the Air Campaign Planning process. In Proceedings of IJCAI-97. AAAI Press.Google Scholar
  7. [SRI1997]
    SRI. 1997. Generic Frame Protocol (GFP). http://www.ai.sri.com/~gfp.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • John Kingston
    • 1
  1. 1.AIAI University of EdinburghUK

Personalised recommendations