| Modelling concepts for reasoning about access to knowledge |
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International Conference on Management of Data
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Proceedings of the 1980 workshop on Data abstraction, databases and conceptual modeling
table of contents
Pingree Park, Colorado, United States
Pages: 138 - 140
Year of Publication: 1980
ISBN:0-89791-031-1
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Downloads (6 Weeks): 5, Downloads (12 Months): 24, Citation Count: 1
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ABSTRACT
There is growing agreement about the usefulness of putting semantic database constraints into explicit form that can be manipulated by various database management programs. Indeed, this is a prerequisite for building intelligent database mediators. These are programs that perform the task of a good database analyst: to pose the most effective and easily processed queries to help solve a problem. Semantic query optimization is a technique to exploit semantic constraints for one aspect of intelligent database mediation: increasing retrieval efficiency. The technique is to use semantic constraints to transform a query into an equivalent one that can be processed more efficiently. Various kinds of semantic knowledge that can be used for this purpose are described.
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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Borgida, Alexander, Utilizing the conceptual organization of actions, In {12}.
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Brodie, Michael L., Data abstraction, databases, and conceptual modelling: an annotated bibliography, National Bureau of Standards Special publication 500-59, May 1980.
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Goldstein, Ira, summary remarks in {12}.
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King, Jonathan J., Intelligent retrieval planning, In Proc. First National Conference on Artificial Intelligence, Stanford, California, 1980.
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McLeod, Dennis J., A semantic data base model and its associated structured user interface, MIT Laboratory for Computer Science Technical Report 214, August 1978.
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Zdonik, Stanley B. Jr., On the use of domain specific knowledge in the processing of database queries, masters thesis, Massachusetts Institute of Technology, June 1980.
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