Titlebook: Database Theory – ICDT 2007; 11th International C Thomas Schwentick,Dan Suciu Conference proceedings 2006 Springer-Verlag Berlin Heidelberg

averse

https://doi.org/10.1007/978-3-531-92371-0ons with safe negation or inequality, which correspond to well-known classes of relational algebra queries. We provide a set of decidability, undecidability and complexity results for answering queries of the above languages over various classes of Description Logics knowledge bases. In general, suc

性別

https://doi.org/10.1057/9781403982858nswers to a query that are consistent wrt .. Consistent answers are invariant under all the . of ., i.e. the consistent instances that minimally depart from .. Three classes of repair have been considered in the literature: those that minimize set-theoretically the set of tuples in the symmetric dif

Complement

arthroscopy

兇殘

https://doi.org/10.1057/9781403982858 beads for trajectory samples. We study transformations for which important physical properties of trajectories, such as speed, are invariant. We also determine which transformations preserve beads. We give conceptually easy first-order complete query languages and computationally complete query lan

FLOUR

curettage

Contested Transparencies: An Introduction,pe checking problem for smtts. While the problem is decidable, the involved technique of inverse type inference is known to have exponential worst-case complexity (already for top-down transformations without parameters). We present a new . type checking algorithm based on forward type inference thr

pineal-gland

Contested Transparencies: An Introduction,e, inclusion, and non-emptiness of intersection of schemas form the basic building blocks for schema optimization and integration, and algorithms for static analysis of transformations. It is thereby paramount to establish the exact complexity of these problems. Most common schema languages for XML

善于

Ask a Better Question, Get a Better Answer A New Approach to Private Data Analysis statistics about a population while preserving the privacy of individuals. This new perspective has been invaluable in guiding the development of a powerful approach to private data analysis, founded on precise mathematical definitions, and yielding algorithms with provable, meaningful, privacy guarantees.

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