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The Semantic Web. Latest Advances and New Domains

Overview of attention for book
Cover of 'The Semantic Web. Latest Advances and New Domains'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Requirements for and Evaluation of User Support for Large-Scale Ontology Alignment
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    Chapter 2 RODI: A Benchmark for Automatic Mapping Generation in Relational-to-Ontology Data Integration
  4. Altmetric Badge
    Chapter 3 VocBench: A Web Application for Collaborative Development of Multilingual Thesauri
  5. Altmetric Badge
    Chapter 4 Leveraging and Balancing Heterogeneous Sources of Evidence in Ontology Learning
  6. Altmetric Badge
    Chapter 5 A Context-Based Semantics for SPARQL Property Paths Over the Web
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    Chapter 6 Distributed and Scalable OWL EL Reasoning
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    Chapter 7 Large Scale Rule-Based Reasoning Using a Laptop
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    Chapter 8 RDF Digest: Efficient Summarization of RDF/S KBs
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    Chapter 9 A Comparison of Data Structures to Manage URIs on the Web of Data
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    Chapter 10 Heuristics for Fixing Common Errors in Deployed schema.org Microdata
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    Chapter 11 Using @Twitter Conventions to Improve #LOD-Based Named Entity Disambiguation
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    Chapter 12 Knowledge Enabled Approach to Predict the Location of Twitter Users
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    Chapter 13 A Compact In-Memory Dictionary for RDF Data
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    Chapter 14 Quality Assessment of Linked Datasets Using Probabilistic Approximation
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    Chapter 15 Cooperative Techniques for SPARQL Query Relaxation in RDF Databases
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    Chapter 16 HDT-MR: A Scalable Solution for RDF Compression with HDT and MapReduce
  18. Altmetric Badge
    Chapter 17 Processing Aggregate Queries in a Federation of SPARQL Endpoints
  19. Altmetric Badge
    Chapter 18 The Semantic Web. Latest Advances and New Domains
  20. Altmetric Badge
    Chapter 19 Query Execution Optimization for Clients of Triple Pattern Fragments
  21. Altmetric Badge
    Chapter 20 LIME: The Metadata Module for OntoLex
  22. Altmetric Badge
    Chapter 21 Learning a Cross-Lingual Semantic Representation of Relations Expressed in Text
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    Chapter 22 HAWK – Hybrid Question Answering Using Linked Data
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    Chapter 23 Automating RDF Dataset Transformation and Enrichment
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    Chapter 24 Semi-supervised Instance Matching Using Boosted Classifiers
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    Chapter 25 Assigning Semantic Labels to Data Sources
  27. Altmetric Badge
    Chapter 26 Inductive Classification Through Evidence-Based Models and Their Ensembles
  28. Altmetric Badge
    Chapter 27 Standardized and Efficient RDF Encoding for Constrained Embedded Networks
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    Chapter 28 SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks
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    Chapter 29 Linked Data-as-a-Service: The Semantic Web Redeployed
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    Chapter 30 Gagg: A Graph Aggregation Operator
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    Chapter 31 FrameBase: Representing N-Ary Relations Using Semantic Frames
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    Chapter 32 Towards Hybrid NER: A Study of Content and Crowdsourcing-Related Performance Factors
  34. Altmetric Badge
    Chapter 33 Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets
  35. Altmetric Badge
    Chapter 34 Troubleshooting and Optimizing Named Entity Resolution Systems in the Industry
  36. Altmetric Badge
    Chapter 35 Using Ontologies for Modeling Virtual Reality Scenarios
  37. Altmetric Badge
    Chapter 36 Supporting Open Collaboration in Science Through Explicit and Linked Semantic Description of Processes
  38. Altmetric Badge
    Chapter 37 Crowdmapping Digital Social Innovation with Linked Data
  39. Altmetric Badge
    Chapter 38 Desperately Searching for Travel Offers? Formulate Better Queries with Some Help from Linked Data
  40. Altmetric Badge
    Chapter 39 Towards the Russian Linked Culture Cloud: Data Enrichment and Publishing
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    Chapter 40 From Symptoms to Diseases – Creating the Missing Link
  42. Altmetric Badge
    Chapter 41 Using Semantic Web Technologies for Enterprise Architecture Analysis
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    Chapter 42 PADTUN-Using semantic technologies in Tunnel Diagnosis and Maintenance Domain
  44. Altmetric Badge
    Chapter 43 Crowdsourcing Disagreement for Collecting Semantic Annotation
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    Chapter 44 Ontology Change in Ontology-Based Information Integration Systems
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    Chapter 45 Creating Learning Material from Web Resources
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    Chapter 46 The Design and Implementation of Semantic Web-Based Architecture for Augmented Reality Browser
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    Chapter 47 Information Extraction for Learning Expressive Ontologies
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    Chapter 48 A Scalable Adaptive Method for Complex Reasoning Over Semantic Data Streams
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    Chapter 49 Sequential Decision Making with Medical Interpretation Algorithms in the Semantic Web
  51. Altmetric Badge
    Chapter 50 Towards Linked Open Data Enabled Data Mining
  52. Altmetric Badge
    Chapter 51 Semantic Support for Recording Laboratory Experimental Metadata: A Study in Food Chemistry
  53. Altmetric Badge
    Chapter 52 Exploiting Semantics from Ontologies to Enhance Accuracy of Similarity Measures
  54. Altmetric Badge
    Chapter 53 e-Document Standards as Background Knowledge in Context-Based Ontology Matching
  55. Altmetric Badge
    Chapter 54 Semantics-Enabled User Interest Mining
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
35 X users
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
99 Mendeley
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Title
The Semantic Web. Latest Advances and New Domains
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-18818-8
ISBNs
978-3-31-918817-1, 978-3-31-918818-8
Authors

Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann

Editors

Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United Kingdom 1 1%
Brazil 1 1%
Unknown 95 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Student > Master 21 21%
Researcher 13 13%
Student > Doctoral Student 7 7%
Professor 4 4%
Other 16 16%
Unknown 11 11%
Readers by discipline Count As %
Computer Science 66 67%
Engineering 6 6%
Social Sciences 2 2%
Business, Management and Accounting 1 1%
Linguistics 1 1%
Other 5 5%
Unknown 18 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 05 January 2023.
All research outputs
#1,123,813
of 25,376,589 outputs
Outputs from Lecture notes in computer science
#131
of 8,154 outputs
Outputs of similar age
#14,366
of 355,156 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 257 outputs
Altmetric has tracked 25,376,589 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 355,156 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.