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The Semantic Web - ISWC 2015

Overview of attention for book
Cover of 'The Semantic Web - ISWC 2015'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 SPARQL with Property Paths
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    Chapter 2 Recursion in SPARQL
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    Chapter 3 Federated SPARQL Queries Processing with Replicated Fragments
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    Chapter 4 FEASIBLE: A Feature-Based SPARQL Benchmark Generation Framework
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    Chapter 5 LDQL: A Query Language for the Web of Linked Data
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    Chapter 6 Opportunistic Linked Data Querying Through Approximate Membership Metadata
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    Chapter 7 Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data
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    Chapter 8 Substring Filtering for Low-Cost Linked Data Interfaces
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    Chapter 9 LinkDaViz – Automatic Binding of Linked Data to Visualizations
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    Chapter 10 Facilitating Entity Navigation Through Top-K Link Patterns
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    Chapter 11 Serving DBpedia with DOLCE – More than Just Adding a Cherry on Top
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    Chapter 12 Ontology-Based Integration of Cross-Linked Datasets
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    Chapter 13 Mapping Analysis in Ontology-Based Data Access: Algorithms and Complexity
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    Chapter 14 Towards Defeasible Mappings for Tractable Description Logics
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    Chapter 15 An Algebra of Qualitative Taxonomical Relations for Ontology Alignments
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    Chapter 16 CogMap: A Cognitive Support Approach to Property and Instance Alignment
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    Chapter 17 Effective Online Knowledge Graph Fusion
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    Chapter 18 Adding DL-Lite TBoxes to Proper Knowledge Bases
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    Chapter 19 R \(_2\) O \(_2\) : An Efficient Ranking-Based Reasoner for OWL Ontologies
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    Chapter 20 Rewriting-Based Instance Retrieval for Negated Concepts in Description Logic Ontologies
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    Chapter 21 Optimizing the Computation of Overriding
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    Chapter 22 LANCE: Piercing to the Heart of Instance Matching Tools
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    Chapter 23 Decision-Making Bias in Instance Matching Model Selection
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    Chapter 24 Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks
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    Chapter 25 TabEL: Entity Linking in Web Tables
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    Chapter 26 Path-Based Semantic Relatedness on Linked Data and Its Use to Word and Entity Disambiguation
  28. Altmetric Badge
    Chapter 27 SANAPHOR: Ontology-Based Coreference Resolution
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    Chapter 28 Improving Entity Retrieval on Structured Data
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    Chapter 29 A Flexible Framework for Understanding the Dynamics of Evolving RDF Datasets
  31. Altmetric Badge
    Chapter 30 Interest-Based RDF Update Propagation
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    Chapter 31 The Semantic Web - ISWC 2015
  33. Altmetric Badge
    Chapter 32 Understanding How Users Edit Ontologies: Comparing Hypotheses About Four Real-World Projects
  34. Altmetric Badge
    Chapter 33 Next Step for NoHR: OWL 2 QL
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    Chapter 34 The Semantic Web - ISWC 2015
  36. Altmetric Badge
    Chapter 35 Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain
  37. Altmetric Badge
    Chapter 36 Explaining and Suggesting Relatedness in Knowledge Graphs
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    Chapter 37 Type-Constrained Representation Learning in Knowledge Graphs
  39. Altmetric Badge
    Chapter 38 Publishing Without Publishers: A Decentralized Approach to Dissemination, Retrieval, and Archiving of Data
Attention for Chapter 28: Improving Entity Retrieval on Structured Data
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

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2 Dimensions

Readers on

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21 Mendeley
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Chapter title
Improving Entity Retrieval on Structured Data
Chapter number 28
Book title
The Semantic Web - ISWC 2015
Published in
Lecture notes in computer science, October 2015
DOI 10.1007/978-3-319-25007-6_28
Book ISBNs
978-3-31-925006-9, 978-3-31-925007-6
Authors

Besnik Fetahu, Ujwal Gadiraju, Stefan Dietze, Besnik Fetahu, Ujwal Gadiraju, Stefan Dietze

Editors

Marcelo Arenas, Oscar Corcho, Elena Simperl, Markus Strohmaier, Mathieu d'Aquin, Kavitha Srinivas, Paul Groth, Michel Dumontier, Jeff Heflin, Krishnaprasad Thirunarayan, Krishnaprasad Thirunarayan, Steffen Staab

Twitter Demographics

The data shown below were collected from the profiles of 7 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 %
United Kingdom 1 5%
Netherlands 1 5%
Norway 1 5%
Unknown 18 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Other 3 14%
Professor 2 10%
Student > Bachelor 2 10%
Student > Doctoral Student 2 10%
Other 4 19%
Unknown 2 10%
Readers by discipline Count As %
Computer Science 15 71%
Engineering 2 10%
Mathematics 1 5%
Unknown 3 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2017.
All research outputs
#6,439,558
of 12,172,600 outputs
Outputs from Lecture notes in computer science
#3,242
of 7,229 outputs
Outputs of similar age
#114,359
of 285,117 outputs
Outputs of similar age from Lecture notes in computer science
#41
of 83 outputs
Altmetric has tracked 12,172,600 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,229 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 54% 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 285,117 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.