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Foundations of Information and Knowledge Systems

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Cover of 'Foundations of Information and Knowledge Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Functional Dependencies in Incomplete Databases with Limited Domains
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    Chapter 2 Normal Forms of Conditional Knowledge Bases Respecting Entailments and Renamings
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    Chapter 3 On Matrices and K -Relations
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    Chapter 4 Social Consolidations: Rational Belief in a Many-Valued Logic of Evidence and Peerhood
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    Chapter 5 ASPARTIX-V19 - An Answer-Set Programming Based System for Abstract Argumentation
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    Chapter 6 Proper Hierarchies in Polylogarithmic Time and Absence of Complete Problems
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    Chapter 7 Diversity, Dependence and Independence
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    Chapter 8 Towards Probabilistic Reasoning in Type Theory - The Intersection Type Case
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    Chapter 9 Measuring Inconsistency in a General Information Space
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    Chapter 10 Parameterised Complexity of Model Checking and Satisfiability in Propositional Dependence Logic
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    Chapter 11 Utilizing Deep Learning and RDF to Predict Heart Transplantation Survival
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    Chapter 12 Game Description Logic with Integers: A GDL Numerical Extension
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    Chapter 13 Craig Interpolation of Epistemic Logics with Distributed Knowledge
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    Chapter 14 On the Dynamics of Structured Argumentation: Modeling Changes in Default Justification Logic
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    Chapter 15 Logic-Based Approach to Incremental Monitoring and Optimization on Strongly Distributed Data Streams
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    Chapter 16 Realisability of Choreographies
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    Chapter 17 Schema Optimisation Instead of (Local) Normalisation
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    Chapter 18 Strongly Minimal MapReduce Algorithms: A TeraSort Case Study
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    Chapter 19 Event Sequence Interpretation of Structural Geomodels: A Knowledge-Based Approach for Extracting Tectonic Sequences
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Title
Foundations of Information and Knowledge Systems
Published by
Springer International Publishing, April 2020
DOI 10.1007/978-3-030-39951-1
ISBNs
978-3-03-039950-4, 978-3-03-039951-1
Editors

Herzig, Andreas, Kontinen, Juha

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