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ABSTRACT
A sound and, in certain cases, complete method is described for evaluating queries in relational databases with null values where these nulls represent existing but unknown individuals. The soundness and completeness results are proved relative to a formalization of such databases as suitable theories of first-order logic. Because the algorithm conforms to the relational algebra, it may easily be incorporated into existing relational systems.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 25
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Wen-Chi Hou , Zhongyang Zhang , Nong Zhou, Statistical inference of unknown attribute values in databases, Proceedings of the second international conference on Information and knowledge management, p.21-30, November 01-05, 1993, Washington, D.C., United States
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REVIEW
"Haim I. Kilov : Reviewer"
Yet another paper dealing with null values? Yes and no—the main point of the
paper is not so much the null values issue itself, but rather an example of
application of first-order logic to databases. In order to make the semantics
clear, p
more...
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