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Implementing NRDR Using OO Database Management System (OODBMS)

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PRICAI 2002: Trends in Artificial Intelligence (PRICAI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2417))

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Abstract

Motives for using a database management system (DBMS) to build a knowledge base system (KBS), include KBS’s lack of ability to manage large sets of rules, to control concurrent access and to manage multiple knowledge bases simultaneously. In work, we build a KBS using a database management system DBMS for its schema evolution ability. We use this ability of an Object Oriented DBMS (OODBMS) to manage the consistency of an incrementally built knowledge base (KB).

The significance of this work is two folds: first, it provides an efficient mechanism maintaining consistency of an evolving classification hierarchy, using built-in schema evolution features of an OODBMS. Second, it enhances the interface of an OODBMS, to allow intelligent classification queries over stored objects.

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References

  1. Al-Jadir, L., T. Estier, G. Falquet, and M. Leonard. Evolution Features of the F2 OODBMS. in 4th International Conference on Database Systems for Advanced Applications (DASFAA95). 1995. Singapore: World Scientific.

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  2. Beydoun, G. and A. Hoffmann, Theoretical Basis of Hierarchical Incremental Acquisition. International Journal of Human Computer Interactions, Academic Press, 2001. 54(3): p. 407–452.

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© 2002 Springer-Verlag Berlin Heidelberg

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Beydoun, G., Al-Jadir, L. (2002). Implementing NRDR Using OO Database Management System (OODBMS). In: Ishizuka, M., Sattar, A. (eds) PRICAI 2002: Trends in Artificial Intelligence. PRICAI 2002. Lecture Notes in Computer Science(), vol 2417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45683-X_73

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  • DOI: https://doi.org/10.1007/3-540-45683-X_73

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44038-3

  • Online ISBN: 978-3-540-45683-4

  • eBook Packages: Springer Book Archive

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