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Semantic Web Challenges

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Cover of 'Semantic Web Challenges'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Second Open Knowledge Extraction Challenge
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    Chapter 2 Enhancing Entity Linking by Combining NER Models
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    Chapter 3 Collective Disambiguation and Semantic Annotation for Entity Linking and Typing
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    Chapter 4 DWS at the 2016 Open Knowledge Extraction Challenge: A Hearst-Like Pattern-Based Approach to Hypernym Extraction and Class Induction
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    Chapter 5 Entity Typing and Linking Using SPARQL Patterns and DBpedia
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    Chapter 6 Challenge on Fine-Grained Sentiment Analysis Within ESWC2016
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    Chapter 7 App2Check Extension for Sentiment Analysis of Amazon Products Reviews
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    Chapter 8 Sentiment Polarity Detection from Amazon Reviews: An Experimental Study
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    Chapter 9 Exploiting Propositions for Opinion Mining
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    Chapter 10 The IRMUDOSA System at ESWC-2016 Challenge on Semantic Sentiment Analysis
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    Chapter 11 A Knowledge-Based Approach for Aspect-Based Opinion Mining
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    Chapter 12 Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
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    Chapter 13 6th Open Challenge on Question Answering over Linked Data (QALD-6)
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    Chapter 14 SPARKLIS on QALD-6 Statistical Questions
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    Chapter 15 Top-K Shortest Paths in Large Typed RDF Datasets Challenge
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    Chapter 16 Top-k Shortest Paths in Directed Labeled Multigraphs
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    Chapter 17 Modified MinG Algorithm to Find Top-K Shortest Paths from large RDF Graphs
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    Chapter 18 Using Triple Pattern Fragments to Enable Streaming of Top-k Shortest Paths via the Web
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    Chapter 19 Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem
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    Chapter 20 Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning
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    Chapter 21 Automatically Identify and Label Sections in Scientific Journals Using Conditional Random Fields
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    Chapter 22 ACM: Article Content Miner for Assessing the Quality of Scientific Output
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    Chapter 23 Information Extraction from PDF Sources Based on Rule-Based System Using Integrated Formats
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    Chapter 24 An Automatic Workflow for the Formalization of Scholarly Articles’ Structural and Semantic Elements
Attention for Chapter 19: Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem
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Chapter title
Semantic Publishing Challenge – Assessing the Quality of Scientific Output in Its Ecosystem
Chapter number 19
Book title
Semantic Web Challenges
Published by
Springer, Cham, May 2016
DOI 10.1007/978-3-319-46565-4_19
Book ISBNs
978-3-31-946564-7, 978-3-31-946565-4
Authors

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

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 %
Librarian 2 13%
Lecturer 2 13%
Student > Bachelor 2 13%
Researcher 2 13%
Student > Ph. D. Student 2 13%
Other 3 20%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 11 73%
Engineering 1 7%
Unknown 3 20%