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The Semantic Web – ISWC 2018

Overview of attention for book
Cover of 'The Semantic Web – ISWC 2018'

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
  18. Altmetric Badge
    Chapter 17 A Complex Alignment Benchmark: GeoLink Dataset
  19. Altmetric Badge
    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
  22. Altmetric Badge
    Chapter 21 Ontology-Based Recommendation of Editorial Products
  23. Altmetric Badge
    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 12: The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

8 tweeters
1 Wikipedia page


2 Dimensions

Readers on

81 Mendeley
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Chapter title
The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas
Chapter number 12
Book title
The Semantic Web – ISWC 2018
Published in
Lecture notes in computer science, September 2018
DOI 10.1007/978-3-030-00668-6_12
Book ISBNs
978-3-03-000667-9, 978-3-03-000668-6

Angelo A. Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta, Salatino, Angelo A., Thanapalasingam, Thiviyan, Mannocci, Andrea, Osborne, Francesco, Motta, Enrico

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 11 14%
Student > Doctoral Student 7 9%
Researcher 6 7%
Student > Bachelor 6 7%
Other 16 20%
Unknown 21 26%
Readers by discipline Count As %
Computer Science 41 51%
Social Sciences 5 6%
Business, Management and Accounting 4 5%
Economics, Econometrics and Finance 2 2%
Engineering 2 2%
Other 4 5%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2023.
All research outputs
of 24,274,366 outputs
Outputs from Lecture notes in computer science
of 8,148 outputs
Outputs of similar age
of 345,391 outputs
Outputs of similar age from Lecture notes in computer science
of 10 outputs
Altmetric has tracked 24,274,366 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,148 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 345,391 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.