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Semantic Technology

Overview of attention for book
Cover of 'Semantic Technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Modeling and Querying Spatial Data Warehouses on the Semantic Web
  3. Altmetric Badge
    Chapter 2 RDF Graph Visualization by Interpreting Linked Data as Knowledge
  4. Altmetric Badge
    Chapter 3 Linked Open Vocabulary Recommendation Based on Ranking and Linked Open Data
  5. Altmetric Badge
    Chapter 4 Heuristic-Based Configuration Learning for Linked Data Instance Matching
  6. Altmetric Badge
    Chapter 5 Alignment Aware Linked Data Compression
  7. Altmetric Badge
    Chapter 6 ERA-RJN: A SPARQL-Rank Based Top-k Join Query Optimization
  8. Altmetric Badge
    Chapter 7 CNME: A System for Chinese News Meta-Data Extraction
  9. Altmetric Badge
    Chapter 8 Bootstrapping Yahoo! Finance by Wikipedia for Competitor Mining
  10. Altmetric Badge
    Chapter 9 Leveraging Chinese Encyclopedia for Weakly Supervised Relation Extraction
  11. Altmetric Badge
    Chapter 10 Improving Knowledge Base Completion by Incorporating Implicit Information
  12. Altmetric Badge
    Chapter 11 Automatic Generation of Semantic Data for Event-Related Medical Guidelines
  13. Altmetric Badge
    Chapter 12 Evaluating and Comparing Web-Scale Extracted Knowledge Bases in Chinese and English
  14. Altmetric Badge
    Chapter 13 Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes
  15. Altmetric Badge
    Chapter 14 Identifying an Agent’s Preferences Toward Similarity Measures in Description Logics
  16. Altmetric Badge
    Chapter 15 A Contrastive Study on Semantic Prosodies of Minimal Degree Adverbs in Chinese and English
  17. Altmetric Badge
    Chapter 16 A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia
  18. Altmetric Badge
    Chapter 17 Answer Type Identification for Question Answering
  19. Altmetric Badge
    Chapter 18 PROSE: A Plugin-Based Paraconsistent OWL Reasoner
  20. Altmetric Badge
    Chapter 19 Meta-Level Properties for Reasoning on Dynamic Data
  21. Altmetric Badge
    Chapter 20 Distance-Based Ranking of Negative Answers
  22. Altmetric Badge
    Chapter 21 Contrasting RDF Stream Processing Semantics
  23. Altmetric Badge
    Chapter 22 Towards an Enterprise Entity Hub: Integration of General and Enterprise Knowledge
  24. Altmetric Badge
    Chapter 23 Ontology Development for Interoperable Database to Share Data in Service Fields
  25. Altmetric Badge
    Chapter 24 Efficiently Finding Paths Between Classes to Build a SPARQL Query for Life-Science Databases
Attention for Chapter 16: A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
32 Mendeley
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Chapter title
A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia
Chapter number 16
Book title
Semantic Technology
Published in
arXiv, November 2015
DOI 10.1007/978-3-319-31676-5_16
Book ISBNs
978-3-31-931675-8, 978-3-31-931676-5
Authors

Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu, Zhu, Chenhao, Ren, Kan, Liu, Xuan, Wang, Haofen, Tian, Yiding, Yu, Yong

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 31%
Student > Ph. D. Student 6 19%
Student > Bachelor 3 9%
Other 2 6%
Lecturer 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Computer Science 19 59%
Engineering 3 9%
Linguistics 1 3%
Environmental Science 1 3%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 August 2018.
All research outputs
#15,059,467
of 25,211,948 outputs
Outputs from arXiv
#238,582
of 1,027,022 outputs
Outputs of similar age
#141,467
of 289,536 outputs
Outputs of similar age from arXiv
#2,008
of 13,536 outputs
Altmetric has tracked 25,211,948 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
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 gotten more attention than average, scoring higher than 74% 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 289,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13,536 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.