Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
We study here the complexity of evaluating quaries in logical databases. We focus on Reither's model of closed-world databases with unknown values. We show that in this setting query evaluation is harder than query evaluation for physical databases. For example, while 1st-order queries over physical databases can be evaluated in logarithmic space, evaluation of 1st-order queries in the studied model is co-NP-complete. We describe an approximation algorithm for query evaluation that enables one to implement a logical database on the top of a standard database management system. © 1986.
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
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SPIE Advanced Lithography 1998