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Knowledge Graphs and Semantic Web

Overview of attention for book
Cover of 'Knowledge Graphs and Semantic Web'

Table of Contents

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    Book Overview
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    Chapter 1 A Model for Language Annotations on the Web
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    Chapter 2 A Description Logic for Unifying Different Points of View
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    Chapter 3 OceanGraph: Some Initial Steps Toward a Oceanographic Knowledge Graph
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    Chapter 4 Digital Repositories and Linked Data: Lessons Learned and Challenges
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    Chapter 5 Author-Topic Classification Based on Semantic Knowledge
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    Chapter 6 A General Process for the Semantic Annotation and Enrichment of Electronic Program Guides
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    Chapter 7 Extraction of RDF Statements from Text
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    Chapter 8 Meta-Modelling Ontology Design Pattern
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    Chapter 9 Automated Large Geographic Ontologies Generation Method from Spatial Databases
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    Chapter 10 Towards the Semantic Enrichment of Existing Online 3D Building Geometry to Publish Linked Building Data
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    Chapter 11 A Method for Automatically Generating Schema Diagrams for OWL Ontologies
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    Chapter 12 Conformance Test Cases for the RDF Mapping Language (RML)
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    Chapter 13 Expressive Context Modeling with Description Logics
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    Chapter 14 Dimensions Affecting Representation Styles in Ontologies
Attention for Chapter 13: Expressive Context Modeling with Description Logics
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Chapter title
Expressive Context Modeling with Description Logics
Chapter number 13
Book title
Knowledge Graphs and Semantic Web
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-21395-4_13
Book ISBNs
978-3-03-021394-7, 978-3-03-021395-4
Authors

Rolando Ramírez-Rueda, Everardo Bárcenas, Carmen Mezura-Godoy, Guillermo Molero-Castillo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 50%
Professor > Associate Professor 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 4 100%

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