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Reasoning Web. Learning, Uncertainty, Streaming, and Scalability

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Cover of 'Reasoning Web. Learning, Uncertainty, Streaming, and Scalability'

Table of Contents

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    Book Overview
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    Chapter 1 Practical Normative Reasoning with Defeasible Deontic Logic
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    Chapter 2 Efficient and Convenient SPARQL+Text Search: A Quick Survey
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    Chapter 3 A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases
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    Chapter 4 Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields
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    Chapter 5 Machine Learning with and for Semantic Web Knowledge Graphs
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    Chapter 6 Rule Induction and Reasoning over Knowledge Graphs
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    Chapter 7 Storing and Querying Semantic Data in the Cloud
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    Chapter 8 Engineering of Web Stream Processing Applications
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    Chapter 9 Reasoning at Scale (Tutorial)
Attention for Chapter 5: Machine Learning with and for Semantic Web Knowledge Graphs
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