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The Semantic Web

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

Table of Contents

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    Book Overview
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    Chapter 1 A Decentralized Architecture for Sharing and Querying Semantic Data
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    Chapter 2 Reformulation-Based Query Answering for RDF Graphs with RDFS Ontologies
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    Chapter 3 A Hybrid Graph Model for Distant Supervision Relation Extraction
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    Chapter 4 Retrieving Textual Evidence for Knowledge Graph Facts
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    Chapter 5 Boosting DL Concept Learners
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    Chapter 6 Link Prediction in Knowledge Graphs with Concepts of Nearest Neighbours
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    Chapter 7 Disclosing Citation Meanings for Augmented Research Retrieval and Exploration
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    Chapter 8 Injecting Domain Knowledge in Electronic Medical Records to Improve Hospitalization Prediction
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    Chapter 9 Explore and Exploit. Dictionary Expansion with Human-in-the-Loop
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    Chapter 10 Aligning Biomedical Metadata with Ontologies Using Clustering and Embeddings
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    Chapter 11 Generating Semantic Aspects for Queries
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    Chapter 12 A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context
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    Chapter 13 Learning URI Selection Criteria to Improve the Crawling of Linked Open Data
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    Chapter 14 Deontic Reasoning for Legal Ontologies
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    Chapter 15 Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-task Learning
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    Chapter 16 Link Prediction Using Multi Part Embeddings
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    Chapter 17 Modelling the Compatibility of Licenses
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    Chapter 18 GConsent - A Consent Ontology Based on the GDPR
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    Chapter 19 Latent Relational Model for Relation Extraction
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    Chapter 20 Mini-ME Swift: The First Mobile OWL Reasoner for iOS
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    Chapter 21 Validation of SHACL Constraints over KGs with OWL 2 QL Ontologies via Rewriting
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    Chapter 22 An Ontology-Based Interactive System for Understanding User Queries
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    Chapter 23 Knowledge-Based Short Text Categorization Using Entity and Category Embedding
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    Chapter 24 A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models
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    Chapter 25 Predicting Entity Mentions in Scientific Literature
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    Chapter 26 AYNEC: All You Need for Evaluating Completion Techniques in Knowledge Graphs
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    Chapter 27 RVO - The Research Variable Ontology
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    Chapter 28 EVENTSKG: A 5-Star Dataset of Top-Ranked Events in Eight Computer Science Communities
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    Chapter 29 CORAL: A Corpus of Ontological Requirements Annotated with Lexico-Syntactic Patterns
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    Chapter 30 MMKG: Multi-modal Knowledge Graphs
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    Chapter 31 BeSEPPI: Semantic-Based Benchmarking of Property Path Implementations
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    Chapter 32 QED: Out-of-the-Box Datasets for SPARQL Query Evaluation
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    Chapter 33 ToCo: An Ontology for Representing Hybrid Telecommunication Networks
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    Chapter 34 A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs
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    Chapter 35 The Location Index: A Semantic Web Spatial Data Infrastructure
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    Chapter 36 Legislative Document Content Extraction Based on Semantic Web Technologies
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    Chapter 37 BiographySampo – Publishing and Enriching Biographies on the Semantic Web for Digital Humanities Research
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    Chapter 38 Tinderbook: Fall in Love with Culture
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    Chapter 39 Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation
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2 blogs
16 tweeters


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The Semantic Web
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-21348-0
978-3-03-021347-3, 978-3-03-021348-0

Pascal Hitzler, Miriam Fernández, Krzysztof Janowicz, Amrapali Zaveri, Alasdair J.G. Gray, Vanessa Lopez, Armin Haller, Karl Hammar

Twitter Demographics

The data shown below were collected from the profiles of 16 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Student > Ph. D. Student 4 19%
Researcher 2 10%
Student > Master 2 10%
Lecturer 1 5%
Other 2 10%
Unknown 6 29%
Readers by discipline Count As %
Computer Science 11 52%
Engineering 2 10%
Economics, Econometrics and Finance 1 5%
Social Sciences 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 5 24%