↓ Skip to main content

The Semantic Web – ISWC 2019

Overview of attention for book
Cover of 'The Semantic Web – ISWC 2019'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The KEEN Universe
  3. Altmetric Badge
    Chapter 2 VLog: A Rule Engine for Knowledge Graphs
  4. Altmetric Badge
    Chapter 3 ArCo: The Italian Cultural Heritage Knowledge Graph
  5. Altmetric Badge
    Chapter 4 Making Study Populations Visible Through Knowledge Graphs
  6. Altmetric Badge
    Chapter 5 LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia
  7. Altmetric Badge
    Chapter 6 SEO: A Scientific Events Data Model
  8. Altmetric Badge
    Chapter 7 DBpedia FlexiFusion the Best of Wikipedia > Wikidata > Your Data
  9. Altmetric Badge
    Chapter 8 The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data
  10. Altmetric Badge
    Chapter 9 The RealEstateCore Ontology
  11. Altmetric Badge
    Chapter 10 FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
  12. Altmetric Badge
    Chapter 11 BTC-2019: The 2019 Billion Triple Challenge Dataset
  13. Altmetric Badge
    Chapter 12 Extending the YAGO2 Knowledge Graph with Precise Geospatial Knowledge
  14. Altmetric Badge
    Chapter 13 The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity
  15. Altmetric Badge
    Chapter 14 SemanGit: A Linked Dataset from git
  16. Altmetric Badge
    Chapter 15 Squerall: Virtual Ontology-Based Access to Heterogeneous and Large Data Sources
  17. Altmetric Badge
    Chapter 16 List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists
  18. Altmetric Badge
    Chapter 17 A Scalable Framework for Quality Assessment of RDF Datasets
  19. Altmetric Badge
    Chapter 18 QaldGen: Towards Microbenchmarking of Question Answering Systems over Knowledge Graphs
  20. Altmetric Badge
    Chapter 19 Sparklify: A Scalable Software Component for Efficient Evaluation of SPARQL Queries over Distributed RDF Datasets
  21. Altmetric Badge
    Chapter 20 ClaimsKG: A Knowledge Graph of Fact-Checked Claims
  22. Altmetric Badge
    Chapter 21 CoCoOn: Cloud Computing Ontology for IaaS Price and Performance Comparison
  23. Altmetric Badge
    Chapter 22 Semantically-Enabled Optimization of Digital Marketing Campaigns
  24. Altmetric Badge
    Chapter 23 An End-to-End Semantic Platform for Nutritional Diseases Management
  25. Altmetric Badge
    Chapter 24 VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection
  26. Altmetric Badge
    Chapter 25 Personalized Knowledge Graphs for the Pharmaceutical Domain
  27. Altmetric Badge
    Chapter 26 Use of OWL and Semantic Web Technologies at Pinterest
  28. Altmetric Badge
    Chapter 27 An Assessment of Adoption and Quality of Linked Data in European Open Government Data
  29. Altmetric Badge
    Chapter 28 Easy Web API Development with SPARQL Transformer
  30. Altmetric Badge
    Chapter 29 Benefit Graph Extraction from Healthcare Policies
  31. Altmetric Badge
    Chapter 30 Knowledge Graph Embedding for Ecotoxicological Effect Prediction
  32. Altmetric Badge
    Chapter 31 Improving Editorial Workflow and Metadata Quality at Springer Nature
  33. Altmetric Badge
    Chapter 32 A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases
Attention for Chapter 32: A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases
Altmetric Badge


5 Dimensions

Readers on

23 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
A Pay-as-you-go Methodology to Design and Build Enterprise Knowledge Graphs from Relational Databases
Chapter number 32
Book title
The Semantic Web – ISWC 2019
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-30796-7_32
Book ISBNs
978-3-03-030795-0, 978-3-03-030796-7

Juan F. Sequeda, Willard J. Briggs, Daniel P. Miranker, Wayne P. Heideman, Sequeda, Juan F., Briggs, Willard J., Miranker, Daniel P., Heideman, Wayne P.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 35%
Student > Ph. D. Student 4 17%
Other 1 4%
Student > Bachelor 1 4%
Lecturer 1 4%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Computer Science 12 52%
Engineering 2 9%
Energy 1 4%
Business, Management and Accounting 1 4%
Unknown 7 30%