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The Semantic Web – ISWC 2017

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Cover of 'The Semantic Web – ISWC 2017'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  20. Altmetric Badge
    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
  27. Altmetric Badge
    Chapter 26 Reliable Granular References to Changing Linked Data
  28. Altmetric Badge
    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
  34. Altmetric Badge
    Chapter 33 Strider: A Hybrid Adaptive Distributed RDF Stream Processing Engine
  35. Altmetric Badge
    Chapter 34 Mining Hypotheses from Data in OWL: Advanced Evaluation and Complete Construction
  36. Altmetric Badge
    Chapter 35 Semantic Faceted Search with Aggregation and Recursion
  37. Altmetric Badge
    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
  39. Altmetric Badge
    Chapter 38 Blockchain Enabled Privacy Audit Logs
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    Chapter 39 VICKEY: Mining Conditional Keys on Knowledge Bases
  41. Altmetric Badge
    Chapter 40 Ontolex JeuxDeMots and Its Alignment to the Linguistic Linked Open Data Cloud
  42. Altmetric Badge
    Chapter 41 Towards Holistic Concept Representations: Embedding Relational Knowledge, Visual Attributes, and Distributional Word Semantics
  43. Altmetric Badge
    Chapter 42 An Extension of SPARQL for Expressing Qualitative Preferences
  44. Altmetric Badge
    Chapter 43 Encoding Category Correlations into Bilingual Topic Modeling for Cross-Lingual Taxonomy Alignment
  45. Altmetric Badge
    Chapter 44 Cross-Lingual Infobox Alignment in Wikipedia Using Entity-Attribute Factor Graph
Attention for Chapter 21: Computing FO-Rewritings in $$\mathcal{EL}$$ in Practice: From Atomic to Conjunctive Queries
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Chapter title
Computing FO-Rewritings in $$\mathcal{EL}$$ in Practice: From Atomic to Conjunctive Queries
Chapter number 21
Book title
The Semantic Web – ISWC 2017
Published in
arXiv, October 2017
DOI 10.1007/978-3-319-68288-4_21
Book ISBNs
978-3-31-968287-7, 978-3-31-968288-4
Authors

Peter Hansen, Carsten Lutz

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Unknown 2 67%
Readers by discipline Count As %
Psychology 1 33%
Unknown 2 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2018.
All research outputs
#15,751,441
of 24,002,307 outputs
Outputs from arXiv
#351,916
of 1,011,770 outputs
Outputs of similar age
#198,497
of 331,092 outputs
Outputs of similar age from arXiv
#9,541
of 22,271 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,092 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,271 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.