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The Semantic Web – ISWC 2018

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 DOREMUS: A Graph of Linked Musical Works
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    Chapter 2 Audio Commons Ontology: A Data Model for an Audio Content Ecosystem
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    Chapter 3 Wiki-MID: A Very Large Multi-domain Interests Dataset of Twitter Users with Mappings to Wikipedia
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    Chapter 4 HeLiS: An Ontology for Supporting Healthy Lifestyles
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    Chapter 5 SABINE: A Multi-purpose Dataset of Semantically-Annotated Social Content
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    Chapter 6 Querying Large Knowledge Graphs over Triple Pattern Fragments: An Empirical Study
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    Chapter 7 Drammar: A Comprehensive Ontological Resource on Drama
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    Chapter 8 The SPAR Ontologies
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    Chapter 9 Browsing Linked Data Catalogs with LODAtlas
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    Chapter 10 A Framework to Build Games with a Purpose for Linked Data Refinement
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    Chapter 11 VoxEL: A Benchmark Dataset for Multilingual Entity Linking
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    Chapter 12 The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas
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    Chapter 13 DistLODStats: Distributed Computation of RDF Dataset Statistics
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    Chapter 14 Knowledge Integration for Disease Characterization: A Breast Cancer Example
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    Chapter 15 Comunica: A Modular SPARQL Query Engine for the Web
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    Chapter 16 VoCaLS: Vocabulary and Catalog of Linked Streams
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    Chapter 17 A Complex Alignment Benchmark: GeoLink Dataset
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    Chapter 18 Supporting Digital Healthcare Services Using Semantic Web Technologies
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    Chapter 19 Semantic Technologies for Healthy Lifestyle Monitoring
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    Chapter 20 Reshaping the Knowledge Graph by Connecting Researchers, Data and Practices in ResearchSpace
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    Chapter 21 Ontology-Based Recommendation of Editorial Products
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    Chapter 22 Synthesizing Knowledge Graphs from Web Sources with the MINTE$$^+$$+ Framework
  24. Altmetric Badge
    Chapter 23 Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia’s Knowledge Graph
Attention for Chapter 8: The SPAR Ontologies
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Chapter title
The SPAR Ontologies
Chapter number 8
Book title
The Semantic Web – ISWC 2018
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-00668-6_8
Book ISBNs
978-3-03-000667-9, 978-3-03-000668-6
Authors

Silvio Peroni, David Shotton

Twitter Demographics

Twitter Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Professor 6 21%
Student > Master 4 14%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 9 31%
Readers by discipline Count As %
Computer Science 11 38%
Arts and Humanities 1 3%
Chemical Engineering 1 3%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 12 41%