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Semantic Web Evaluation Challenges

Overview of attention for book
Cover of 'Semantic Web Evaluation Challenges'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Open Knowledge Extraction Challenge
  3. Altmetric Badge
    Chapter 2 CETUS – A Baseline Approach to Type Extraction
  4. Altmetric Badge
    Chapter 3 A Hybrid Approach for Entity Recognition and Linking
  5. Altmetric Badge
    Chapter 4 Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population
  6. Altmetric Badge
    Chapter 5 Exploiting Linked Open Data to Uncover Entity Types
  7. Altmetric Badge
    Chapter 6 Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking
  8. Altmetric Badge
    Chapter 7 Information Extraction from Web Sources Based on Multi-aspect Content Analysis
  9. Altmetric Badge
    Chapter 8 Extracting Contextual Information from Scientific Literature Using CERMINE System
  10. Altmetric Badge
    Chapter 9 Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications
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    Chapter 10 MACJa: Metadata and Citations Jailbreaker
  12. Altmetric Badge
    Chapter 11 Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings
  13. Altmetric Badge
    Chapter 12 CEUR-WS-LOD: Conversion of CEUR-WS Workshops to Linked Data
  14. Altmetric Badge
    Chapter 13 Metadata Extraction from Conference Proceedings Using Template-Based Approach
  15. Altmetric Badge
    Chapter 14 Semantically Annotating CEUR-WS Workshop Proceedings with RML
  16. Altmetric Badge
    Chapter 15 On the Automated Generation of Scholarly Publishing Linked Datasets: The Case of CEUR-WS Proceedings
  17. Altmetric Badge
    Chapter 16 The Schema-Agnostic Queries (SAQ-2015) Semantic Web Challenge: Task Description
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    Chapter 17 UMBC_Ebiquity-SFQ: Schema Free Querying System
  19. Altmetric Badge
    Chapter 18 ESWC 15 Challenge on Concept-Level Sentiment Analysis
  20. Altmetric Badge
    Chapter 19 The Benefit of Concept-Based Features for Sentiment Analysis
  21. Altmetric Badge
    Chapter 20 An Information Retrieval-Based System for Multi-domain Sentiment Analysis
  22. Altmetric Badge
    Chapter 21 Detecting Sentiment Polarities with Sentilo
  23. Altmetric Badge
    Chapter 22 Supervised Opinion Frames Detection with RAID
Attention for Chapter 6: Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking
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Chapter title
Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking
Chapter number 6
Book title
Semantic Web Evaluation Challenges
Published in
Communications in Computer and Information Science, May 2015
DOI 10.1007/978-3-319-25518-7_6
Book ISBNs
978-3-31-925517-0, 978-3-31-925518-7
Authors

Angelo Di Iorio, Christoph Lange, Anastasia Dimou, Sahar Vahdati, Di Iorio, Angelo, Lange, Christoph, Dimou, Anastasia, Vahdati, Sahar

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Other 2 13%
Student > Bachelor 2 13%
Student > Ph. D. Student 1 7%
Lecturer 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 7 47%
Biochemistry, Genetics and Molecular Biology 1 7%
Arts and Humanities 1 7%
Social Sciences 1 7%
Engineering 1 7%
Other 0 0%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 August 2017.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Communications in Computer and Information Science
#1
of 1 outputs
Outputs of similar age
#170,393
of 282,545 outputs
Outputs of similar age from Communications in Computer and Information Science
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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 282,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them