Datalog in Academia and Industry
Second International Workshop, Datalog 2.0, Vienna, Austria, September 11-13, 2012, Proceedings
Herausgegeben:Barceló, Pablo; Pichler, Reinhard
Datalog in Academia and Industry
Second International Workshop, Datalog 2.0, Vienna, Austria, September 11-13, 2012, Proceedings
Herausgegeben:Barceló, Pablo; Pichler, Reinhard
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This book constitutes the refereed proceedings of the Second International 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, and current practitioners; the contributions aim to bring every participant up-to-date with the newest developments and map out directions for the future.
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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, and current practitioners; the contributions aim to bring every participant up-to-date with the newest developments and map out directions for the future.
- Produktdetails
- Lecture Notes in Computer Science 7494
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-642-32924-1
- 2012
- Seitenzahl: 208
- Erscheinungstermin: 30. Juli 2012
- Englisch
- Abmessung: 235mm x 155mm x 12mm
- Gewicht: 324g
- ISBN-13: 9783642329241
- ISBN-10: 3642329241
- Artikelnr.: 36155738
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
- Lecture Notes in Computer Science 7494
- Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
- Artikelnr. des Verlages: 978-3-642-32924-1
- 2012
- Seitenzahl: 208
- Erscheinungstermin: 30. Juli 2012
- Englisch
- Abmessung: 235mm x 155mm x 12mm
- Gewicht: 324g
- ISBN-13: 9783642329241
- ISBN-10: 3642329241
- Artikelnr.: 36155738
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
A Retrospective on Datalog 1.0.- LogicBlox, Platform and Language: A Tutorial.- Datalog: A Perspective and the Potential.- Existential Rules: A Graph-Based View.- How (Well) Do Datalog, SPARQL and RIF Interplay?.- Magic-Sets for Datalog with Existential Quantifiers.- On the CRON Conjecture.- Order in Datalog with Applications to Declarative Output.- A Broad Class of First-Order Rewritable Tuple-Generating Dependencies.- Datalog Development Tools.- Query Rewriting Using Datalog for Duplicate Resolution.- Reasoning about Knowledge in Distributed Systems Using Datalog.- Declarative Datalog Debugging for Mere Mortals.- Inconsistency-Tolerant Query Rewriting for Linear Datalog+/- .- Confluence Analysis for Distributed Programs: A Model-Theoretic Approach.- Business Network Reconstruction Using Datalog.- Data Exchange in Datalog Is Mainly a Matter of Choice.- Optimizing Large-Scale Semi-Na¨ive Datalog Evaluation in Hadoop.- Logical Foundations of Continuous Query Languages for Data Streams.
A Retrospective on Datalog 1.0.- LogicBlox, Platform and Language: A Tutorial.- Datalog: A Perspective and the Potential.- Existential Rules: A Graph-Based View.- How (Well) Do Datalog, SPARQL and RIF Interplay?.- Magic-Sets for Datalog with Existential Quantifiers.- On the CRON Conjecture.- Order in Datalog with Applications to Declarative Output.- A Broad Class of First-Order Rewritable Tuple-Generating Dependencies.- Datalog Development Tools.- Query Rewriting Using Datalog for Duplicate Resolution.- Reasoning about Knowledge in Distributed Systems Using Datalog.- Declarative Datalog Debugging for Mere Mortals.- Inconsistency-Tolerant Query Rewriting for Linear Datalog+/- .- Confluence Analysis for Distributed Programs: A Model-Theoretic Approach.- Business Network Reconstruction Using Datalog.- Data Exchange in Datalog Is Mainly a Matter of Choice.- Optimizing Large-Scale Semi-Na¨ive Datalog Evaluation in Hadoop.- Logical Foundations of Continuous Query Languages for Data Streams.