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Datalog in Academia and Industry

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Cover of 'Datalog in Academia and Industry'

Table of Contents

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    Book Overview
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    Chapter 1 LogicBlox, Platform and Language: A Tutorial
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    Chapter 2 Datalog: A Perspective and the Potential
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    Chapter 3 Existential Rules: A Graph-Based View
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    Chapter 4 How (Well) Do Datalog, SPARQL and RIF Interplay?
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    Chapter 5 Magic-Sets for Datalog with Existential Quantifiers
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    Chapter 6 On the CRON Conjecture
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    Chapter 7 Order in Datalog with Applications to Declarative Output
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    Chapter 8 A Broad Class of First-Order Rewritable Tuple-Generating Dependencies
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    Chapter 9 Datalog Development Tools
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    Chapter 10 Query Rewriting Using Datalog for Duplicate Resolution
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    Chapter 11 Reasoning about Knowledge in Distributed Systems Using Datalog
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    Chapter 12 Declarative Datalog Debugging for Mere Mortals
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    Chapter 13 Inconsistency-Tolerant Query Rewriting for Linear Datalog+/–
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    Chapter 14 Confluence Analysis for Distributed Programs: A Model-Theoretic Approach
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    Chapter 15 Business Network Reconstruction Using Datalog
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    Chapter 16 Data Exchange in Datalog Is Mainly a Matter of Choice
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    Chapter 17 Optimizing Large-Scale Semi-Naïve Datalog Evaluation in Hadoop
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    Chapter 18 Logical Foundations of Continuous Query Languages for Data Streams
Attention for Chapter 4: How (Well) Do Datalog, SPARQL and RIF Interplay?
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