Titlebook: Datalog in Academia and Industry; Second International Pablo Barceló,Reinhard Pichler Conference proceedings 2012 Springer-Verlag Berlin He

浮夸

HACK

Optimizing Large-Scale Semi-Naïve Datalog Evaluation in Hadooptimizations spanning fundamental changes to the Hadoop infrastructure to basic configuration guidelines that collectively offer a 10x improvement in our experiments. This work lays the foundation for a more comprehensive cost-based algebraic optimization framework for parallel recursive Datalog queries.

影响带来

0302-9743 and current practitioners; the contributions aim to bring every participant up-to-date with the newest developments and map out directions for the future.978-3-642-32924-1978-3-642-32925-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

Anemia

Conference proceedings 20124 revised full papers presented together with 2 invited talks and 2 invited tutorials were carefully reviewed and selected from 17 initial submissions. Datalog 2.0 is a workshop for Datalog pioneers, implementors, and current practitioners; the contributions aim to bring every participant up-to-date

Increment

Corruption and Development in Africaction semantics in linear Datalog+/–, a sublanguage of Datalog+/– that generalizes the . family of tractable description logics (DLs). In particular, we show that query answering in linear Datalog+/– is first-order rewritable under this inconsistency-tolerant semantics, and therefore very efficiently computable in the data complexity.

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相互影响

0302-9743 ernational Workshop on Datalog 2.0, held in Vienna, Austria, in September 2012. .The 14 revised full papers presented together with 2 invited talks and 2 invited tutorials were carefully reviewed and selected from 17 initial submissions. Datalog 2.0 is a workshop for Datalog pioneers, implementors,

弹药

transdermal

Declarative Datalog Debugging for Mere Mortalsantics. The resulting provenance graph can be easily queried and analyzed using a set of predefined and ad-hoc queries. We have prototypically implemented our approach for two different Datalog engines (DLV and LogicBlox), demonstrating the simplicity, effectiveness, and system-independent nature of our method.

interior

Conference proceedings 2012. Datalog 2.0 is a workshop for Datalog pioneers, implementors, and current practitioners; the contributions aim to bring every participant up-to-date with the newest developments and map out directions for the future.