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The Semantic Web

Overview of attention for book
Cover of 'The Semantic Web'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Enhancing Sequential Recommendation via Decoupled Knowledge Graphs
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    Chapter 2 An Analysis of Links in Wikidata
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    Chapter 3 Knowledge Graph Entity Type Prediction with Relational Aggregation Graph Attention Network
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    Chapter 4 Union and Intersection of All Justifications
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    Chapter 5 Supervised Knowledge Aggregation for Knowledge Graph Completion
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    Chapter 6 Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and Reasoning
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    Chapter 7 Impact of the Characteristics of Multi-source Entity Matching Tasks on the Performance of Active Learning Methods
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    Chapter 8 Optimal ABox Repair w.r.t. Static $$\mathcal {EL}$$ EL TBoxes: From Quantified ABoxes Back to ABoxes
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    Chapter 9 Ensemble-Based Fact Classification with Knowledge Graph Embeddings
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    Chapter 10 The Problem with XSD Binary Floating Point Datatypes in RDF
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    Chapter 11 DCWEB-SOBA: Deep Contextual Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification
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    Chapter 12 Never Mind the Semantic Gap: Modular, Lazy and Safe Loading of RDF Data
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    Chapter 13 Improving Question Answering Quality Through Language Feature-Based SPARQL Query Candidate Validation
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    Chapter 14 Learning Concept Lengths Accelerates Concept Learning in ALC
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    Chapter 15 Dihedron Algebraic Embeddings for Spatio-Temporal Knowledge Graph Completion
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    Chapter 16 Hierarchical Topic Modelling for Knowledge Graphs
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    Chapter 17 Do Arduinos Dream of Efficient Reasoners?
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    Chapter 18 A Programming Interface for Creating Data According to the SPAR Ontologies and the OpenCitations Data Model
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    Chapter 19 LD Connect: A Linked Data Portal for IOS Press Scientometrics
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    Chapter 20 Chowlk: from UML-Based Ontology Conceptualizations to OWL
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    Chapter 21 QuoteKG : A Multilingual Knowledge Graph of Quotes
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    Chapter 22 Stunning Doodle: A Tool for Joint Visualization and Analysis of Knowledge Graphs and Graph Embeddings
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    Chapter 23 Capturing the Semantics of Smell: The Odeuropa Data Model for Olfactory Heritage Information
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    Chapter 24 Stream Reasoning Playground
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    Chapter 25 The Dow Jones Knowledge Graph
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    Chapter 26 CONSTRUCT Queries Performance on a Spark-Based Big RDF Triplestore
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    Chapter 27 Matching Multiple Ontologies to Build a Knowledge Graph for Personalized Medicine
  29. Altmetric Badge
    Chapter 28 FindSampo : A Linked Data Based Portal and Data Service for Analyzing and Disseminating Archaeological Object Finds
Attention for Chapter 10: The Problem with XSD Binary Floating Point Datatypes in RDF
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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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5 X users
wikipedia
1 Wikipedia page

Readers on

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1 Mendeley
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Chapter title
The Problem with XSD Binary Floating Point Datatypes in RDF
Chapter number 10
Book title
The Semantic Web
Published in
arXiv, January 2022
DOI 10.1007/978-3-031-06981-9_10
Book ISBNs
978-3-03-106980-2, 978-3-03-106981-9
Authors

Keil, Jan Martin, Gänßinger, Merle, Jan Martin Keil, Merle Gänßinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 20 December 2022.
All research outputs
#4,697,419
of 25,030,708 outputs
Outputs from arXiv
#103,555
of 1,022,002 outputs
Outputs of similar age
#108,806
of 515,397 outputs
Outputs of similar age from arXiv
#3,741
of 32,516 outputs
Altmetric has tracked 25,030,708 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,022,002 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 515,397 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 78% of its contemporaries.
We're also able to compare this research output to 32,516 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.