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Knowledge Acquisition Evaluation Using Simulated Experts

  • Conference paper
Managing Knowledge in a World of Networks (EKAW 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4248))

Abstract

Evaluation of knowledge acquisition (KA) is difficult in general because of the costs of using a human expert. In this paper, we use a general simulation framework to evaluate some aspects of KA. We focus on the importance of acquiring domain ontological structures and the use of stored or cornerstone cases to validate changes. We find that the for a higher level of expertise, an ontology is very useful, but cornerstone cases less so, but the weaker the level of expertise, the more valuable the cornerstone cases and the less helpful an ontology.

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References

  1. Cao, T., Compton, P.: A simulation framework for knowledge acquisition evaluation. In: Proceedings of 28th Australasian Computer Science Conference, pp. 353–361 (2005)

    Google Scholar 

  2. Clancey, W.J.: Heuristic classification. Artificial Intelligence 27, 289–350 (1985)

    Article  Google Scholar 

  3. Compton, P., Jansen, R.: A philosophical basis for knowledge acquisition. knowledge acquisition 2, 241–257 (1990)

    Article  Google Scholar 

  4. Compton, P., Preston, P., Kang, B.: The use of simulated experts in evaluating knowledge acquisition. In: Gaines, B., Musen, M. (eds.) 9th Banff KAW Proceeding, pp. 1–12 (1995)

    Google Scholar 

  5. Compton, P., Peters, L., Edwards, G., Lavers, T.: Experience with ripple-down rules. Knowledge Based Systems (to appear, 2006)

    Google Scholar 

  6. Gomez-Perez, A.: Evaluation of ontologies. Int. J. Intelligent Systems 16, 391–409 (2001)

    Article  MATH  Google Scholar 

  7. Menzies, T., Van Hamelen, F.: Editorial: Evaluating knowledge engineering techniques. Journal of Human-Computer Studies 51(4), 715–727 (1999)

    Article  Google Scholar 

  8. Noy, N.F., Sintek, M., Decker, S., Crubézy, M., Fergerson, R.W., Musen, M.A.: Creating semantic web contents with protégé-2000. IEEE Intelligent Systems 16(2), 60–71 (2001)

    Article  Google Scholar 

  9. Shadbolt, N., O’Hara, K.: The experimental evaluation of knowledge acquisition techniques and methods: history, problem and new directions. Journal of Human-Computer Studies 51(4), 729–775 (1999)

    Article  Google Scholar 

  10. Sure, Y., Gómez-Pérez, A., Daelemans, W., Reinberger, M.-L., Guarino, N., Noy, N.F.: Why evaluate ontology technologies? because it works!. IEEE Intelligent Systems 19(4), 74–81 (2004)

    Article  Google Scholar 

  11. van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in kbs development. Journal of Human-Computer Studies 45, 183–292 (1997)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Cao, T.M., Compton, P. (2006). Knowledge Acquisition Evaluation Using Simulated Experts. In: Staab, S., Svátek, V. (eds) Managing Knowledge in a World of Networks. EKAW 2006. Lecture Notes in Computer Science(), vol 4248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11891451_6

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  • DOI: https://doi.org/10.1007/11891451_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46363-4

  • Online ISBN: 978-3-540-46365-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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