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Parallel Knowledge Base Development by Subject Matter Experts

  • Conference paper
Engineering Knowledge in the Age of the Semantic Web (EKAW 2004)

Abstract

This paper presents an experiment of parallel knowledge base development by subject matter experts, performed as part of the DARPA’s Rapid Knowledge Formation Program. It introduces the Disciple-RKF development environment used in this experiment and proposes design guidelines for systems that support authoring of problem solving knowledge by subject matter experts. Finally, it compares Disciple-RKF with the other development environments from the same DARPA program, providing further support for the proposed guidelines.

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References

  1. Barker, K., Blythe, J., Borchardt, G., Chaudhri, V.K., Clark, P.E., Cohen, P., Fitzgerald, J., Forbus, K., Gil, Y., Katz, B., Kim, J., King, G., Mishra, S., Morrison, C., Murray, K., Otstott, C., Porter, B., Schrag, R.C., Uribe, T., Usher, J., Yeh, P.Z.: A Knowledge Acquisition Tool for Course of Action Analysis. In: Proc. of the 15th Innovative Applications of Artificial Intelligence Conference, California, USA, pp. 43–50. AAAI Press, Menlo Park (2003)

    Google Scholar 

  2. Boicu, M.: Modeling and Learning with Incomplete Knowledge, PhD dissertation. George Mason University. Fairfax, Virginia, USA (2002)

    Google Scholar 

  3. Bowman, M.: A Methodology for Modeling Expert Knowledge that Supports Teaching Based Development of Agents, PhD dissertation. George Mason University. Fairfax, Virginia, USA (2002)

    Google Scholar 

  4. Dybala, T.: Shared Expertise Model for Building Interactive Learning Agents, Ph.D. Dissertation, Department of Computer Science, George Mason University. Fairfax, Virginia (1996)

    Google Scholar 

  5. Lenat, D.B.: CYC: A Large-scale Investment in Knowledge Infrastructure. Communications of the ACM 38(11), 33–38 (1995)

    Article  Google Scholar 

  6. Pool, M., Murray, K., Fitzgerald, J., Mehrotra, M., Schrag, R., Blythe, J., Kim, J., Chalupsky, H., Miraglia, P., Russ, T., Schneider, D.: Evaluating Expert-Authored Rules for Military Reasoning. In: Proc. of the 2nd Int. Conf. on Know-ledge Capture, Florida, pp. 69–104. ACM Press, New York (2003)

    Google Scholar 

  7. Strange, J.: Centers of Gravity & Critical Vulnerabilities: Building on the Clausewitzian Foundation So That We Can All Speak the Same Language, USA. Quantico, Virginia, Marine Corps University (1996)

    Google Scholar 

  8. Tecuci, G.: DISCIPLE: A Theory, Methodology and System for Learning Expert Knowledge, Thèse de Docteur en Science, University of Paris-South (1988)

    Google Scholar 

  9. Tecuci, G.: Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies. Academic Press, London (1998)

    Google Scholar 

  10. Tecuci, G., Boicu, M., Bowman, M., Marcu, D., Shyr, P., Cascaval, C.: An Experiment in Agent Teaching by Subject Matter Experts. International Journal of Human-Computer Studies 53, 583–610 (2000)

    Article  Google Scholar 

  11. Tecuci, G., Boicu, M., Bowman, M., Marcu, D., Burke, M.: An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a High Performance Knowledge Base for Course of Action Critiquing. In: AI Magazine, vol. 22(2), pp. 43–61. AAAI Press, Menlo Park (2001)

    Google Scholar 

  12. Tecuci, G., Boicu, M., Marcu, D., Stanescu, B., Boicu, C., Comello, J.: Training and Using Disciple Agents: A Case Study in the Military Center of Gravity Analysis Domain. AI Magazine 23(4), 51–68 (2002)

    Google Scholar 

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© 2004 Springer-Verlag Berlin Heidelberg

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Tecuci, G., Boicu, M., Marcu, D., Stanescu, B., Boicu, C., Barbulescu, M. (2004). Parallel Knowledge Base Development by Subject Matter Experts. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_18

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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