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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 Structuring Linked Data Search Results Using Probabilistic Soft Logic
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    Chapter 2 The Multiset Semantics of SPARQL Patterns
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    Chapter 3 Ontop of Geospatial Databases
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    Chapter 4 Expressive Multi-level Modeling for the Semantic Web
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    Chapter 5 A Practical Acyclicity Notion for Query Answering Over Horn- $$\mathcal {SRIQ}$$ Ontologies
  7. Altmetric Badge
    Chapter 6 Containment of Expressive SPARQL Navigational Queries
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    Chapter 7 WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge
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    Chapter 8 Efficient Algorithms for Association Finding and Frequent Association Pattern Mining
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    Chapter 9 A Reuse-Based Annotation Approach for Medical Documents
  11. Altmetric Badge
    Chapter 10 Knowledge Representation on the Web Revisited: The Case for Prototypes
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    Chapter 11 Updating DL-Lite Ontologies Through First-Order Queries
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    Chapter 12 Are Names Meaningful? Quantifying Social Meaning on the Semantic Web
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    Chapter 13 User Validation in Ontology Alignment
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    Chapter 14 Seed, an End-User Text Composition Tool for the Semantic Web
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    Chapter 15 Exception-Enriched Rule Learning from Knowledge Graphs
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    Chapter 16 Planning Ahead: Stream-Driven Linked-Data Access Under Update-Budget Constraints
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    Chapter 17 Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies
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    Chapter 18 Predicting Energy Consumption of Ontology Reasoning over Mobile Devices
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    Chapter 19 Walking Without a Map: Ranking-Based Traversal for Querying Linked Data
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    Chapter 20 CubeQA—Question Answering on RDF Data Cubes
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    Chapter 21 Optimizing Aggregate SPARQL Queries Using Materialized RDF Views
  23. Altmetric Badge
    Chapter 22 Algebraic Calculi for Weighted Ontology Alignments
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    Chapter 23 Ontologies for Knowledge Graphs: Breaking the Rules
  25. Altmetric Badge
    Chapter 24 An Extensible Linear Approach for Holistic Ontology Matching
  26. Altmetric Badge
    Chapter 25 Semantic Sensitive Simultaneous Tensor Factorization
  27. Altmetric Badge
    Chapter 26 Multi-level Semantic Labelling of Numerical Values
  28. Altmetric Badge
    Chapter 27 Semantic Labeling: A Domain-Independent Approach
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    Chapter 28 Exploiting Emergent Schemas to Make RDF Systems More Efficient
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    Chapter 29 Distributed RDF Query Answering with Dynamic Data Exchange
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    Chapter 30 RDF2Vec: RDF Graph Embeddings for Data Mining
  32. Altmetric Badge
    Chapter 31 SPARQL-to-SQL on Internet of Things Databases and Streams
  33. Altmetric Badge
    Chapter 32 Can You Imagine... A Language for Combinatorial Creativity?
  34. Altmetric Badge
    Chapter 33 Leveraging Linked Data to Discover Semantic Relations Within Data Sources
  35. Altmetric Badge
    Chapter 34 Integrating Medical Scientific Knowledge with the Semantically Quantified Self
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    Chapter 35 Learning to Assess Linked Data Relationships Using Genetic Programming
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    Chapter 36 A Probabilistic Model for Time-Aware Entity Recommendation
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    Chapter 37 A Knowledge Base Approach to Cross-Lingual Keyword Query Interpretation
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    Chapter 38 Context-Free Path Queries on RDF Graphs
  40. Altmetric Badge
    Chapter 39 Unsupervised Entity Resolution on Multi-type Graphs
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
28 tweeters
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
156 Mendeley
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Title
The Semantic Web – ISWC 2016
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-46523-4
ISBNs
978-3-31-946522-7, 978-3-31-946523-4
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 28 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 1%
France 1 <1%
Netherlands 1 <1%
Egypt 1 <1%
Spain 1 <1%
Unknown 150 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Student > Master 30 19%
Researcher 15 10%
Student > Bachelor 14 9%
Student > Doctoral Student 11 7%
Other 26 17%
Unknown 25 16%
Readers by discipline Count As %
Computer Science 99 63%
Engineering 6 4%
Agricultural and Biological Sciences 3 2%
Social Sciences 3 2%
Medicine and Dentistry 2 1%
Other 13 8%
Unknown 30 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 03 July 2022.
All research outputs
#943,426
of 22,491,736 outputs
Outputs from Lecture notes in computer science
#120
of 8,128 outputs
Outputs of similar age
#19,452
of 409,478 outputs
Outputs of similar age from Lecture notes in computer science
#46
of 1,246 outputs
Altmetric has tracked 22,491,736 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 409,478 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 1,246 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 96% of its contemporaries.