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The Semantic Web – ISWC 2017

Overview of attention for book
The Semantic Web – ISWC 2017
Springer, Cham

Table of Contents

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    Book Overview
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    Chapter 1 Multi-label Based Learning for Better Multi-criteria Ranking of Ontology Reasoners
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    Chapter 2 The Efficacy of OWL and DL on User Understanding of Axioms and Their Entailments
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    Chapter 3 A Decidable Very Expressive Description Logic for Databases
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    Chapter 4 Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions
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    Chapter 5 An Empirical Study on How the Distribution of Ontologies Affects Reasoning on the Web
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    Chapter 6 Expressive Stream Reasoning with Laser
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    Chapter 7 Semantics and Validation of Shapes Schemas for RDF
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    Chapter 8 Temporal Query Answering in DL-Lite over Inconsistent Data
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    Chapter 9 Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media
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    Chapter 10 Tractable Query Answering for Expressive Ontologies and Existential Rules
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    Chapter 11 Zooming in on Ontologies: Minimal Modules and Best Excerpts
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    Chapter 12 Global RDF Vector Space Embeddings
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    Chapter 13 LDScript: A Linked Data Script Language
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    Chapter 14 Practical Update Management in Ontology-Based Data Access
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    Chapter 15 Computing Authoring Tests from Competency Questions: Experimental Validation
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    Chapter 16 Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings
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    Chapter 17 Learning Commonalities in SPARQL
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    Chapter 18 Meta Structures in Knowledge Graphs
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    Chapter 19 Challenges of Source Selection in the WoD
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    Chapter 20 AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
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    Chapter 21 Computing FO-Rewritings in $$\mathcal{EL}$$ in Practice: From Atomic to Conjunctive Queries
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    Chapter 22 A Formal Framework for Comparing Linked Data Fragments
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    Chapter 23 Language-Agnostic Relation Extraction from Wikipedia Abstracts
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    Chapter 24 Alignment Cubes: Towards Interactive Visual Exploration and Evaluation of Multiple Ontology Alignments
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    Chapter 25 Attributed Description Logics: Ontologies for Knowledge Graphs
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    Chapter 26 Reliable Granular References to Changing Linked Data
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    Chapter 27 Cost-Driven Ontology-Based Data Access
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    Chapter 28 The Odyssey Approach for Optimizing Federated SPARQL Queries
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    Chapter 29 Automated Fine-Grained Trust Assessment in Federated Knowledge Bases
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    Chapter 30 Completeness-Aware Rule Learning from Knowledge Graphs
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    Chapter 31 Entity Comparison in RDF Graphs
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    Chapter 32 Provenance Information in a Collaborative Knowledge Graph: An Evaluation of Wikidata External References
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    Chapter 33 Strider: A Hybrid Adaptive Distributed RDF Stream Processing Engine
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    Chapter 34 Mining Hypotheses from Data in OWL: Advanced Evaluation and Complete Construction
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    Chapter 35 Semantic Faceted Search with Aggregation and Recursion
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    Chapter 36 Investigating Learnability, User Performance, and Preferences of the Path Query Language SemwidgQL Compared to SPARQL
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    Chapter 37 Cross-Lingual Entity Alignment via Joint Attribute-Preserving Embedding
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    Chapter 38 Blockchain Enabled Privacy Audit Logs
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    Chapter 39 VICKEY: Mining Conditional Keys on Knowledge Bases
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    Chapter 40 Ontolex JeuxDeMots and Its Alignment to the Linguistic Linked Open Data Cloud
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    Chapter 41 Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics
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    Chapter 42 An Extension of SPARQL for Expressing Qualitative Preferences
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    Chapter 43 Encoding Category Correlations into Bilingual Topic Modeling for Cross-Lingual Taxonomy Alignment
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    Chapter 44 Cross-Lingual Infobox Alignment in Wikipedia Using Entity-Attribute Factor Graph
Overall attention for this book and its chapters
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Title
The Semantic Web – ISWC 2017
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-68288-4
ISBNs
978-3-31-968287-7, 978-3-31-968288-4
Editors

Claudia d'Amato, Miriam Fernandez, Valentina Tamma, Freddy Lecue, Philippe Cudré-Mauroux, Juan Sequeda, Christoph Lange, Jeff Heflin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 220 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 4%
Student > Master 6 3%
Student > Bachelor 4 2%
Lecturer 2 <1%
Student > Postgraduate 2 <1%
Other 3 1%
Unknown 195 89%
Readers by discipline Count As %
Computer Science 20 9%
Unspecified 1 <1%
Mathematics 1 <1%
Linguistics 1 <1%
Earth and Planetary Sciences 1 <1%
Other 2 <1%
Unknown 194 88%