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The Semantic Web – ISWC 2019

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Cover of 'The Semantic Web – ISWC 2019'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Decentralized Indexing over a Network of RDF Peers
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    Chapter 2 Datalog Materialisation in Distributed RDF Stores with Dynamic Data Exchange
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    Chapter 3 How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs
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    Chapter 4 Observing LOD Using Equivalent Set Graphs: It Is Mostly Flat and Sparsely Linked
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    Chapter 5 Optimizing Horn- $$\mathcal {SHIQ}$$ Reasoning for OBDA
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    Chapter 6 Using a KG-Copy Network for Non-goal Oriented Dialogues
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    Chapter 7 Canonicalizing Knowledge Base Literals
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    Chapter 8 Bag Semantics of DL-Lite with Functionality Axioms
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    Chapter 9 Validating S hacl Constraints over a S parql Endpoint
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    Chapter 10 Mapping Factoid Adjective Constraints to Existential Restrictions over Knowledge Bases
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    Chapter 11 Mining Significant Maximum Cardinalities in Knowledge Bases
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    Chapter 12 HapPenIng: Happen, Predict, Infer—Event Series Completion in a Knowledge Graph
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    Chapter 13 Uncovering the Semantics of Wikipedia Categories
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    Chapter 14 Qsearch: Answering Quantity Queries from Text
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    Chapter 15 A Worst-Case Optimal Join Algorithm for SPARQL
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    Chapter 16 Knowledge Graph Consolidation by Unifying Synonymous Relationships
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    Chapter 17 Skyline Queries over Knowledge Graphs
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    Chapter 18 Detecting Influences of Ontology Design Patterns in Biomedical Ontologies
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    Chapter 19 Popularity-Driven Ontology Ranking Using Qualitative Features
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    Chapter 20 Incorporating Literals into Knowledge Graph Embeddings
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    Chapter 21 Extracting Novel Facts from Tables for Knowledge Graph Completion
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    Chapter 22 Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs
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    Chapter 23 Type Checking Program Code Using SHACL
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    Chapter 24 Decentralized Reasoning on a Network of Aligned Ontologies with Link Keys
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    Chapter 25 Ontology Completion Using Graph Convolutional Networks
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    Chapter 26 Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs—The Case of Wikidata
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    Chapter 27 Pretrained Transformers for Simple Question Answering over Knowledge Graphs
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    Chapter 28 Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs
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    Chapter 29 THOTH: Neural Translation and Enrichment of Knowledge Graphs
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    Chapter 30 Entity Enabled Relation Linking
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    Chapter 31 SHACL Constraints with Inference Rules
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    Chapter 32 Query-Based Entity Comparison in Knowledge Graphs Revisited
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    Chapter 33 Anytime Large-Scale Analytics of Linked Open Data
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    Chapter 34 Absorption-Based Query Answering for Expressive Description Logics
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    Chapter 35 TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs
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    Chapter 36 Unsupervised Discovery of Corroborative Paths for Fact Validation
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    Chapter 37 RDF Explorer: A Visual SPARQL Query Builder
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    Chapter 38 Capturing Semantic and Syntactic Information for Link Prediction in Knowledge Graphs
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    Chapter 39 A Framework for Evaluating Snippet Generation for Dataset Search
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    Chapter 40 Summarizing News Articles Using Question-and-Answer Pairs via Learning
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    Chapter 41 Product Classification Using Microdata Annotations
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    Chapter 42 Truthful Mechanisms for Multi Agent Self-interested Correspondence Selection
Overall attention for this book and its chapters
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17 X users
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Citations

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Title
The Semantic Web – ISWC 2019
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-30793-6
ISBNs
978-3-03-030792-9, 978-3-03-030793-6
Editors

Ghidini, Chiara, Hartig, Olaf, Maleshkova, Maria, Svátek, Vojtěch, Cruz, Isabel, Hogan, Aidan, Song, Jie, Lefrançois, Maxime, Gandon, Fabien

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 4 11%
Student > Bachelor 3 8%
Researcher 2 5%
Other 1 3%
Other 2 5%
Unknown 18 49%
Readers by discipline Count As %
Computer Science 14 38%
Engineering 3 8%
Linguistics 1 3%
Arts and Humanities 1 3%
Unknown 18 49%