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The Semantic Web – ISWC 2018

Overview of attention for book
Cover of 'The Semantic Web – ISWC 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion
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    Chapter 2 Aligning Knowledge Base and Document Embedding Models Using Regularized Multi-Task Learning
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    Chapter 3 Inducing Implicit Relations from Text Using Distantly Supervised Deep Nets
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    Chapter 4 Towards Encoding Time in Text-Based Entity Embeddings
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    Chapter 5 Rule Learning from Knowledge Graphs Guided by Embedding Models
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    Chapter 6 A Novel Ensemble Method for Named Entity Recognition and Disambiguation Based on Neural Network
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    Chapter 7 EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs
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    Chapter 8 TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications
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    Chapter 9 An Ontology-Driven Probabilistic Soft Logic Approach to Improve NLP Entity Annotations
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    Chapter 10 Ontology Driven Extraction of Research Processes
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    Chapter 11 Enriching Knowledge Bases with Counting Quantifiers
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    Chapter 12 QA4IE: A Question Answering Based Framework for Information Extraction
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    Chapter 13 Constructing a Recipe Web from Historical Newspapers
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    Chapter 14 Structured Event Entity Resolution in Humanitarian Domains
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    Chapter 15 That’s Interesting, Tell Me More! Finding Descriptive Support Passages for Knowledge Graph Relationships
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    Chapter 16 Exploring RDFS KBs Using Summaries
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    Chapter 17 What Is the Cube Root of 27? Question Answering Over CodeOntology
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    Chapter 18 GraFa: Scalable Faceted Browsing for RDF Graphs
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    Chapter 19 Semantics and Validation of Recursive SHACL
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    Chapter 20 Certain Answers for SPARQL with Blank Nodes
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    Chapter 21 Efficient Handling of SPARQL OPTIONAL for OBDA
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    Chapter 22 Representativeness of Knowledge Bases with the Generalized Benford’s Law
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    Chapter 23 Detecting Erroneous Identity Links on the Web Using Network Metrics
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    Chapter 24 $$SPgen $$ : A Benchmark Generator for Spatial Link Discovery Tools
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    Chapter 25 Specifying, Monitoring, and Executing Workflows in Linked Data Environments
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    Chapter 26 Mapping Diverse Data to RDF in Practice
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    Chapter 27 A Novel Approach and Practical Algorithms for Ontology Integration
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    Chapter 28 Practical Ontology Pattern Instantiation, Discovery, and Maintenance with Reasonable Ontology Templates
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    Chapter 29 Pragmatic Ontology Evolution: Reconciling User Requirements and Application Performance
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    Chapter 30 Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding
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    Chapter 31 Query-Based Linked Data Anonymization
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    Chapter 32 Answering Provenance-Aware Queries on RDF Data Cubes Under Memory Budgets
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    Chapter 33 Bash Datalog: Answering Datalog Queries with Unix Shell Commands
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    Chapter 34 WORQ: Workload-Driven RDF Query Processing
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    Chapter 35 Canonicalisation of Monotone SPARQL Queries
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    Chapter 36 Cross-Lingual Classification of Crisis Data
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    Chapter 37 Measuring Semantic Coherence of a Conversation
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    Chapter 38 Combining Truth Discovery and RDF Knowledge Bases to Their Mutual Advantage
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    Chapter 39 Content Based Fake News Detection Using Knowledge Graphs
Overall attention for this book and its chapters
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Title
The Semantic Web – ISWC 2018
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-030-00671-6
ISBNs
978-3-03-000670-9, 978-3-03-000671-6
Editors

Vrandečić, Denny, Bontcheva, Kalina, Suárez-Figueroa, Mari Carmen, Presutti, Valentina, Celino, Irene, Sabou, Marta, Kaffee, Lucie-Aimée, Simperl, Elena

Twitter Demographics

The data shown below were collected from the profiles of 39 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 3%
Unknown 29 97%
Readers by discipline Count As %
Computer Science 1 3%
Unknown 29 97%