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ABSTRACT
Various approaches to interpreting queries in a database with incomplete information are discussed. A simple model of a database is described, based on attributes which can take values in specified attribute domains. Information incompleteness means that instead of having a single value of an attribute, we have a subset of the attribute domain, which represents our knowledge that the actual value, though unknown, is one of the values in this subset. This extends the idea of Codd's null value, corresponding to the case when this subset is the whole attribute domain. A simple query language to communicate with such a system is described and its various semantics are precisely defined. We emphasize the distinction between two different interpretations of the query language—the external one, which refers the queries directly to the real world modeled in an incomplete way by the system, and the internal one, under which the queries refer to the system's information about this world, rather than to the world itself. Both external and internal interpretations are provided with the corresponding sets of axioms which serve as a basis for equivalent transformations of queries. The technique of equivalent transformations of queries is then extensively exploited for evaluating the interpretation of (i.e. the response to) a query.
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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 78
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B. Jin , A. R. Hurson , L. L. Miller, Neural network-based decision support for incomplete database systems: Knowledge acquisition and performance analysis, Proceedings of the conference on Analysis of neural network applications, p.62-75, May 29-31, 1991, Fairfax, Virginia, United States
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Qihua Wang , Ting Yu , Ninghui Li , Jorge Lobo , Elisa Bertino , Keith Irwin , Ji-Won Byun, On the correctness criteria of fine-grained access control in relational databases, Proceedings of the 33rd international conference on Very large data bases, September 23-27, 2007, Vienna, Austria
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Garrett Wolf , Hemal Khatri , Bhaumik Chokshi , Jianchun Fan , Yi Chen , Subbarao Kambhampati, Query processing over incomplete autonomous databases, Proceedings of the 33rd international conference on Very large data bases, September 23-27, 2007, Vienna, Austria
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