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A Physical Embedding Model for Knowledge Graphs

Overview of attention for book
Cover of 'A Physical Embedding Model for Knowledge Graphs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Building a Large-Scale Knowledge Graph for Elementary Education in China
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    Chapter 2 A Temporal Semantic Search System for Traditional Chinese Medicine Based on Temporal Knowledge Graphs
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    Chapter 3 Testing of Various Approaches for Semiautomatic Parish Records Word Standardization
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    Chapter 4 Concept Similarity Under the Agent’s Preferences for the Description Logic $$\mathcal {A}\!\mathcal {L}\!\mathcal {E}\!\mathcal {H}$$ A L E H
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    Chapter 5 Data Quality for Deep Learning of Judgment Documents: An Empirical Study
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    Chapter 6 Aligning Sentences Between Comparable Texts of Different Styles
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    Chapter 7 An In-depth Analysis of Graph Neural Networks for Semi-supervised Learning
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    Chapter 8 XTransE: Explainable Knowledge Graph Embedding for Link Prediction with Lifestyles in e-Commerce
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    Chapter 9 Feasibility Study: Rule Generation for Ontology-Based Decision-Making Systems
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    Chapter 10 Attention-Based Direct Interaction Model for Knowledge Graph Embedding
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    Chapter 11 Discovering Hypernymy Relationships in Chinese Traffic Legal Texts
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    Chapter 12 Multi-task Learning for Attribute Extraction from Unstructured Electronic Medical Records
  14. Altmetric Badge
    Chapter 13 Uncertain Ontology-Aware Knowledge Graph Embeddings
  15. Altmetric Badge
    Chapter 14 Investigating Schema Definitions Using RDFS and OWL 2 for RDF Databases in Life Sciences
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    Chapter 15 RQE: Rule-Driven Query Expansion to Solve Empty Answers in SPARQL
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    Chapter 16 Aspect-Level Sentiment Analysis of Online Product Reviews Based on Multi-features
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    Chapter 17 A Seq2seq-Based Approach to Question Answering over Knowledge Bases
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    Chapter 18 Building Knowledge Graph Across Different Subdomains Using Interlinking Ontology for Biomedical Concepts
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    Chapter 19 WPQA: A Gaming Support System Based on Machine Learning and Knowledge Graph
  21. Altmetric Badge
    Chapter 20 Combining Concept Graph with Improved Neural Networks for Chinese Short Text Classification
  22. Altmetric Badge
    Chapter 21 Construction of Chinese Pediatric Medical Knowledge Graph
  23. Altmetric Badge
    Chapter 22 EasyKG: An End-to-End Knowledge Graph Construction System
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
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
A Physical Embedding Model for Knowledge Graphs
Published by
arXiv, January 2020
DOI 10.1007/978-981-15-3412-6
ISBNs
978-9-81-153411-9, 978-9-81-153412-6
Authors

Caglar Demir, Axel-Cyrille Ngonga Ngomo

Editors

Wang, Xin, Lisi, Francesca A., Xiao, Guohui, Botoeva, Elena

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Student > Ph. D. Student 2 50%
Researcher 2 50%
Lecturer 1 25%
Student > Postgraduate 1 25%
Other 0 0%
Readers by discipline Count As %
Computer Science 6 150%
Engineering 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 January 2020.
All research outputs
#6,284,493
of 25,211,948 outputs
Outputs from arXiv
#115,572
of 1,027,022 outputs
Outputs of similar age
#124,155
of 469,990 outputs
Outputs of similar age from arXiv
#3,874
of 26,671 outputs
Altmetric has tracked 25,211,948 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,027,022 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 88% 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 469,990 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 73% of its contemporaries.
We're also able to compare this research output to 26,671 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.