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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
  2. Altmetric Badge
    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 2: A Description Logic for Unifying Different Points of View
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Chapter title
A Description Logic for Unifying Different Points of View
Chapter number 2
Book title
Knowledge Graphs and Semantic Web
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-21395-4_2
Book ISBNs
978-3-03-021394-7, 978-3-03-021395-4
Authors

Paula Severi, Edelweis Rohrer, Regina Motz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 100%
Professor 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Computer Science 4 200%

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