Abstract
At the end of this chapter the reader will be able to:
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Discuss the genesis of the deductive data model in formal logic
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Describe the major elements of the deductive data model
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Explain why deductive databases are sometimes described as ‘intelligent’ databases
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References
Beynon-Davies, P. (2002). Information Systems: An Introduction to Informatics in Organisations. Basingstoke, Palgrave (formerly Macmillan).
Gallaire, H. and G. Minker (1978). Logic and Databases, New York, Plenum Press.
Gardarin, G. and P. Valduriez (1989). Relational Databases and Knowledge Bases. Reading, MA, Addison-Wesley.
Newell, A. and H.A. Simon (1976). Computer science as empirical inquiry: symbols and search. Comm. of ACM 19(3).
Reiter, R. (1984). Towards a logical reconstruction of relational database theory. In M.L. Brodie, J. Mylopoulos and J.W. Schmidt (Eds), On Conceptual Modelling: Perspectives from Artificial Intelligence, Databases and Programming Languages. New York, Springer-Verlag.
Tsitchizris, D.C. and F.H. Lochovsky (1982). Data Models. Englewood Cliffs, NJ, Prentice-Hall.
Winograd, T. and F. Flores (1986). Understanding Computers and Cognition: A New Foundation for Design. Norwood, NJ, Ablex Publishing.
Winston, P.H. (1984). Artificial Intelligence. Reading, MA, Addison-Wesley.
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© 2004 Paul Beynon-Davies
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Beynon-Davies, P. (2004). Deductive Data Model. In: Database Systems. Palgrave, London. https://doi.org/10.1007/978-0-230-00107-7_9
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DOI: https://doi.org/10.1007/978-0-230-00107-7_9
Publisher Name: Palgrave, London
Print ISBN: 978-1-4039-1601-3
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