Abstract
In this paper, we extend the Abstract Interpretation framework to the field of query languages for relational databases as a way to support sound approximation techniques. This way, the semantics of query languages can be tuned according to suitable abstractions of the concrete domain of data. The abstraction of relational database system has many interesting applications, in particular, for security purposes, such as fine grained access control, watermarking, etc.
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