↓ Skip to main content

Semantic Web Challenges

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Second Open Knowledge Extraction Challenge
  3. Altmetric Badge
    Chapter 2 Enhancing Entity Linking by Combining NER Models
  4. Altmetric Badge
    Chapter 3 Collective Disambiguation and Semantic Annotation for Entity Linking and Typing
  5. Altmetric Badge
    Chapter 4 DWS at the 2016 Open Knowledge Extraction Challenge: A Hearst-Like Pattern-Based Approach to Hypernym Extraction and Class Induction
  6. Altmetric Badge
    Chapter 5 Entity Typing and Linking Using SPARQL Patterns and DBpedia
  7. Altmetric Badge
    Chapter 6 Challenge on Fine-Grained Sentiment Analysis Within ESWC2016
  8. Altmetric Badge
    Chapter 7 App2Check Extension for Sentiment Analysis of Amazon Products Reviews
  9. Altmetric Badge
    Chapter 8 Sentiment Polarity Detection from Amazon Reviews: An Experimental Study
  10. Altmetric Badge
    Chapter 9 Exploiting Propositions for Opinion Mining
  11. Altmetric Badge
    Chapter 10 The IRMUDOSA System at ESWC-2016 Challenge on Semantic Sentiment Analysis
  12. Altmetric Badge
    Chapter 11 A Knowledge-Based Approach for Aspect-Based Opinion Mining
  13. Altmetric Badge
    Chapter 12 Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
  14. Altmetric Badge
    Chapter 13 6th Open Challenge on Question Answering over Linked Data (QALD-6)
  15. Altmetric Badge
    Chapter 14 SPARKLIS on QALD-6 Statistical Questions
  16. Altmetric Badge
    Chapter 15 Top-K Shortest Paths in Large Typed RDF Datasets Challenge
  17. Altmetric Badge
    Chapter 16 Top-k Shortest Paths in Directed Labeled Multigraphs
  18. Altmetric Badge
    Chapter 17 Modified MinG Algorithm to Find Top-K Shortest Paths from large RDF Graphs
  19. Altmetric Badge
    Chapter 18 Using Triple Pattern Fragments to Enable Streaming of Top-k Shortest Paths via the Web
  20. Altmetric Badge
    Chapter 19 Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem
  21. Altmetric Badge
    Chapter 20 Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning
  22. Altmetric Badge
    Chapter 21 Automatically Identify and Label Sections in Scientific Journals Using Conditional Random Fields
  23. Altmetric Badge
    Chapter 22 ACM: Article Content Miner for Assessing the Quality of Scientific Output
  24. Altmetric Badge
    Chapter 23 Information Extraction from PDF Sources Based on Rule-Based System Using Integrated Formats
  25. Altmetric Badge
    Chapter 24 An Automatic Workflow for the Formalization of Scholarly Articles’ Structural and Semantic Elements
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
8 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Semantic Web Challenges
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-46565-4
ISBNs
978-3-31-946564-7, 978-3-31-946565-4
Editors

Harald Sack, Stefan Dietze, Anna Tordai, Christoph Lange

Twitter Demographics

The data shown below were collected from the profiles of 8 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Student > Master 1 4%
Researcher 1 4%
Other 0 0%
Unknown 17 71%
Readers by discipline Count As %
Computer Science 5 21%
Social Sciences 1 4%
Unknown 18 75%