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The Semantic Web – ISWC 2016

Overview of attention for book
Cover of 'The Semantic Web – ISWC 2016'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Ontological Representation of Audio Features
  3. Altmetric Badge
    Chapter 2 Abstract Meaning Representations as Linked Data
  4. Altmetric Badge
    Chapter 3 Interoperability for Smart Appliances in the IoT World
  5. Altmetric Badge
    Chapter 4 An Ontology of Soil Properties and Processes
  6. Altmetric Badge
    Chapter 5 LODStats: The Data Web Census Dataset
  7. Altmetric Badge
    Chapter 6 Zhishi.lemon: On Publishing Zhishi.me as Linguistic Linked Open Data
  8. Altmetric Badge
    Chapter 7 Linked Disambiguated Distributional Semantic Networks
  9. Altmetric Badge
    Chapter 8 BESDUI: A Benchmark for End-User Structured Data User Interfaces
  10. Altmetric Badge
    Chapter 9 SPARQLGX: Efficient Distributed Evaluation of SPARQL with Apache Spark
  11. Altmetric Badge
    Chapter 10 Querying Wikidata: Comparing SPARQL, Relational and Graph Databases
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    Chapter 11 Clinga: Bringing Chinese Physical and Human Geography in Linked Open Data
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    Chapter 12 LinkGen: Multipurpose Linked Data Generator
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    Chapter 13 OntoBench: Generating Custom OWL 2 Benchmark Ontologies
  15. Altmetric Badge
    Chapter 14 Linked Data (in Low-Resource) Platforms: A Mapping for Constrained Application Protocol
  16. Altmetric Badge
    Chapter 15 TripleWave: Spreading RDF Streams on the Web
  17. Altmetric Badge
    Chapter 16 Conference Linked Data: The ScholarlyData Project
  18. Altmetric Badge
    Chapter 17 The OWL Reasoner Evaluation (ORE) 2015 Resources
  19. Altmetric Badge
    Chapter 18 FOOD: FOod in Open Data
  20. Altmetric Badge
    Chapter 19 YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames
  21. Altmetric Badge
    Chapter 20 A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web
  22. Altmetric Badge
    Chapter 21 Enabling Combined Software and Data Engineering at Web-Scale: The ALIGNED Suite of Ontologies
  23. Altmetric Badge
    Chapter 22 A Replication Study of the Top Performing Systems in SemEval Twitter Sentiment Analysis
  24. Altmetric Badge
    Chapter 23 VoldemortKG: Mapping schema.org and Web Entities to Linked Open Data
  25. Altmetric Badge
    Chapter 24 AUFX-O: Novel Methods for the Representation of Audio Processing Workflows
  26. Altmetric Badge
    Chapter 25 Translating Ontologies in Real-World Settings
  27. Altmetric Badge
    Chapter 26 EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption
  28. Altmetric Badge
    Chapter 27 Extracting Semantic Information for e-Commerce
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    Chapter 28 Building Urban LOD for Solving Illegally Parked Bicycles in Tokyo
  30. Altmetric Badge
    Chapter 29 Ontology-Based Design of Space Systems
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    Chapter 30 Capturing Industrial Information Models with Ontologies and Constraints
  32. Altmetric Badge
    Chapter 31 Towards Analytics Aware Ontology Based Access to Static and Streaming Data
  33. Altmetric Badge
    Chapter 32 QuerioDALI: Question Answering Over Dynamic and Linked Knowledge Graphs
  34. Altmetric Badge
    Chapter 33 Automatic Classification of Springer Nature Proceedings with Smart Topic Miner
  35. Altmetric Badge
    Chapter 34 Semantic Technologies for Data Analysis in Health Care
  36. Altmetric Badge
    Chapter 35 Building and Exploring an Enterprise Knowledge Graph for Investment Analysis
  37. Altmetric Badge
    Chapter 36 Extending SPARQL for Data Analytic Tasks
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
2 blogs
twitter
15 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
120 Mendeley
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Title
The Semantic Web – ISWC 2016
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46547-0
ISBNs
978-3-31-946546-3, 978-3-31-946547-0
Editors

Paul Groth, Elena Simperl, Alasdair Gray, Marta Sabou, Markus Krötzsch, Freddy Lecue, Fabian Flöck, Yolanda Gil

Twitter Demographics

The data shown below were collected from the profiles of 15 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 120 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 2%
Student > Bachelor 2 2%
Student > Master 2 2%
Researcher 1 <1%
Unknown 113 94%
Readers by discipline Count As %
Computer Science 5 4%
Linguistics 1 <1%
Engineering 1 <1%
Unknown 113 94%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 25 September 2019.
All research outputs
#1,323,961
of 21,192,559 outputs
Outputs from Lecture notes in computer science
#237
of 8,040 outputs
Outputs of similar age
#28,388
of 283,114 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 113 outputs
Altmetric has tracked 21,192,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,040 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 97% 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 283,114 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 89% of its contemporaries.
We're also able to compare this research output to 113 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.