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Improving Consistency Within Knowledge Bases

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Knowledge, Data and Computer-Assisted Decisions

Part of the book series: NATO ASI Series ((NATO ASI F,volume 61))

Summary

This paper shows how automatic symbolic classification of all knowledge objects in a knowledge base can alleviate the task of knowledge acquisition. It presents a knowledge representation structure, called knowledge space, that permits such symbolic classification. Simple and efficient algorithms which create the structure are also presented1.

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References

  • BROOKES, B.C. (1977), Theory of the Bradford Law, Journal of Documentation, 33(3), 180–209.

    Article  Google Scholar 

  • CARBONELL, J.G. (1983), Learning by analogy: formulating and generalizing plans from past experience, in: Machine Learning: An Artificial Intelligence Approach, eds. R.S. Michalski, J.G. Carbonell and T.M. Mitchell, Morgan Kaufmann Publishers, Los Altos, CA, 137–161.

    Google Scholar 

  • DIDAY, E. (1987), Orders and Overlapping Clusters by Pyramids, Rapport de Recherche N° 730, IN RIA.

    Google Scholar 

  • FISHER, D., and LANGLEY, P. (1985), Approaches to Conceptual Clustering, Proceedings of IJCAI-85, Morgan Kaufmann, Los Altos, CA, 691–697.

    Google Scholar 

  • GODIN, R., SAUNDERS, E., and GECSEI, J. (1986), Lattice Model of Browsable Data Spaces, Information Sciences, 40, 89–116.

    Article  MATH  Google Scholar 

  • JACKSON, P. (1986), Introduction to Expert Systems, Addison-Wesley, New York.

    MATH  Google Scholar 

  • MICHALSKI, R.S., STEPP, R.E., and DIDAY, E. (1981), A Recent Advance in Data Analysis: Clustering Objects into Classes Characterized by Conjunctive Concepts, in: Progress in Pattern Recognition, eds. L.N. Kanal and A. Rosenfeld, North-Holland, Amsterdam, 33–56.

    Google Scholar 

  • MINEAU, G., GECSEI, J., and GODIN, R. (1989), Structuring knowledge bases using automatic learning, submitted for publication.

    Google Scholar 

  • MINSKY, M. (1975), A Framework for Representing Knowledge, in: The Psychology of Computer Vision, ed. P. Winston, McGraw-Hill, New York, 211–277.

    Google Scholar 

  • MITCHELL, T.M., CARBONELL, J.G., and MICHALSKI, R.S. (1986), Machine Learning: A Guide to Current Research, Kluwer Academic, New York.

    Google Scholar 

  • SOWA, J.F. (1984), Conceptual Structures: Information Processing in Mind and Machine, Addison-Wesley, New York.

    MATH  Google Scholar 

  • STEPP, R.E., and MICHALSKI, R.S. (1986), Conceptual Clustering: Inventing Goal-Oriented Classifications of Structured Objects, in: Machine Learning: An Artificial Intelligence Approach, Vol. 2, eds. R.S. Michalski, J.G. Carbonell and T.M. Mitchell, Morgan Kaufmann, Los Altos, CA, 471–498.

    Google Scholar 

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© 1990 Springer-Verlag Berlin Heidelberg

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Mineau, G., Gecsei, J., Godin, R. (1990). Improving Consistency Within Knowledge Bases. In: Schader, M., Gaul, W. (eds) Knowledge, Data and Computer-Assisted Decisions. NATO ASI Series, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84218-4_4

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  • DOI: https://doi.org/10.1007/978-3-642-84218-4_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-84220-7

  • Online ISBN: 978-3-642-84218-4

  • eBook Packages: Springer Book Archive

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