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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
  5. Altmetric Badge
    Chapter 4 HeLiS: An Ontology for Supporting Healthy Lifestyles
  6. Altmetric Badge
    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
  8. Altmetric Badge
    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
  11. Altmetric Badge
    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
  15. Altmetric Badge
    Chapter 14 Knowledge Integration for Disease Characterization: A Breast Cancer Example
  16. Altmetric Badge
    Chapter 15 Comunica: A Modular SPARQL Query Engine for the Web
  17. Altmetric Badge
    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
  20. Altmetric Badge
    Chapter 19 Semantic Technologies for Healthy Lifestyle Monitoring
  21. Altmetric Badge
    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 21: Ontology-Based Recommendation of Editorial Products
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

8 tweeters


2 Dimensions

Readers on

29 Mendeley
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Chapter title
Ontology-Based Recommendation of Editorial Products
Chapter number 21
Book title
The Semantic Web – ISWC 2018
Published in
arXiv, September 2018
DOI 10.1007/978-3-030-00668-6_21
Book ISBNs
978-3-03-000667-9, 978-3-03-000668-6

Thiviyan Thanapalasingam, Francesco Osborne, Aliaksandr Birukou, Enrico Motta

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 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 %
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Unspecified 2 7%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 7 24%
Unknown 10 34%
Readers by discipline Count As %
Computer Science 15 52%
Unspecified 2 7%
Economics, Econometrics and Finance 1 3%
Social Sciences 1 3%
Unknown 10 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 March 2021.
All research outputs
of 23,105,443 outputs
Outputs from arXiv
of 949,599 outputs
Outputs of similar age
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Outputs of similar age from arXiv
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Altmetric has tracked 23,105,443 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 949,599 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 341,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 24,274 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.