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Semantic Web Evaluation Challenges

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

Table of Contents

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    Book Overview
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    Chapter 1 Open Knowledge Extraction Challenge
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    Chapter 2 CETUS – A Baseline Approach to Type Extraction
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    Chapter 3 A Hybrid Approach for Entity Recognition and Linking
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    Chapter 4 Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population
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    Chapter 5 Exploiting Linked Open Data to Uncover Entity Types
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    Chapter 6 Semantic Publishing Challenge – Assessing the Quality of Scientific Output by Information Extraction and Interlinking
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    Chapter 7 Information Extraction from Web Sources Based on Multi-aspect Content Analysis
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    Chapter 8 Extracting Contextual Information from Scientific Literature Using CERMINE System
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    Chapter 9 Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications
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    Chapter 10 MACJa: Metadata and Citations Jailbreaker
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    Chapter 11 Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings
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    Chapter 12 CEUR-WS-LOD: Conversion of CEUR-WS Workshops to Linked Data
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    Chapter 13 Metadata Extraction from Conference Proceedings Using Template-Based Approach
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    Chapter 14 Semantically Annotating CEUR-WS Workshop Proceedings with RML
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    Chapter 15 On the Automated Generation of Scholarly Publishing Linked Datasets: The Case of CEUR-WS Proceedings
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    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
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    Chapter 18 ESWC 15 Challenge on Concept-Level Sentiment Analysis
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    Chapter 19 The Benefit of Concept-Based Features for Sentiment Analysis
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    Chapter 20 An Information Retrieval-Based System for Multi-domain Sentiment Analysis
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    Chapter 21 Detecting Sentiment Polarities with Sentilo
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    Chapter 22 Supervised Opinion Frames Detection with RAID
Overall attention for this book and its chapters
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Citations

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Title
Semantic Web Evaluation Challenges
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-25518-7
ISBNs
978-3-31-925517-0, 978-3-31-925518-7
Authors

Fabien Gandon, Elena Cabrio, Milan Stankovic, Antoine Zimmermann

Editors

Fabien Gandon, Elena Cabrio, Milan Stankovic, Antoine Zimmermann

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X Demographics

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.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 5%
Researcher 1 2%
Student > Ph. D. Student 1 2%
Unknown 40 91%
Readers by discipline Count As %
Computer Science 4 9%
Unknown 40 91%

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