↓ Skip to main content

Knowledge Engineering and the Semantic Web

Overview of attention for book
Cover of 'Knowledge Engineering and the Semantic Web'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Experiments on Using LOD Cloud Datasets to Enrich the Content of a Scientific Knowledge Base
  3. Altmetric Badge
    Chapter 2 Ontology-Based Content Trust Support of Expert Information Resources in Quantitative Spectroscopy
  4. Altmetric Badge
    Chapter 3 Measuring Psychological Impact on Group Ontology Design and Development: An Empirical Approach
  5. Altmetric Badge
    Chapter 4 Applied Semantics for Integration and Analytics
  6. Altmetric Badge
    Chapter 5 Technology of Ontology Visualization Based on Cognitive Frames for Graphical User Interface
  7. Altmetric Badge
    Chapter 6 SRelation: Fast RDF Graph Traversal
  8. Altmetric Badge
    Chapter 7 An Approach to Improving the Classification of the New York Times Annotated Corpus
  9. Altmetric Badge
    Chapter 8 Applying the Latent Semantic Analysis to the Issue of Automatic Extraction of Collocations from the Domain Texts
  10. Altmetric Badge
    Chapter 9 Exploring Automated Reasoning in First-Order Logic: Tools, Techniques and Application Areas
  11. Altmetric Badge
    Chapter 10 OntoQuad: Native High-Speed RDF DBMS for Semantic Web
  12. Altmetric Badge
    Chapter 11 A Comparison of Federation over SPARQL Endpoints Frameworks
  13. Altmetric Badge
    Chapter 12 Knowledge-Based Support for Complex Systems Exploration in Distributed Problem Solving Environments
  14. Altmetric Badge
    Chapter 13 Efficient Module Extraction for Large Ontologies
  15. Altmetric Badge
    Chapter 14 Representation of Historical Sources on the Semantic Web by Means of Attempto Controlled English
  16. Altmetric Badge
    Chapter 15 Ontology Merging in the Context of a Semantic Web Expert System
  17. Altmetric Badge
    Chapter 16 Web 2.0/3.0 Technology in Lexical Ontology Development: English-Russian WordNet 2.0
  18. Altmetric Badge
    Chapter 17 Topic Crawler for Social Networks Monitoring
  19. Altmetric Badge
    Chapter 18 Conceptual Framework, Models, and Methods of Knowledge Acquisition and Management for Competency Management in Various Areas
  20. Altmetric Badge
    Chapter 19 Linked Open Data Statistics: Collection and Exploitation
  21. Altmetric Badge
    Chapter 20 ORG-Master: Combining Classifications, Matrices and Diagrams in the Enterprise Architecture Modeling Tool
  22. Altmetric Badge
    Chapter 21 User Interface for a Template Based Question Answering System
  23. Altmetric Badge
    Chapter 22 TripleCheckMate: A Tool for Crowdsourcing the Quality Assessment of Linked Data
  24. Altmetric Badge
    Chapter 23 Development of an Ontology-Based E-Learning System
  25. Altmetric Badge
    Chapter 24 Sci-Search: Academic Search and Analysis System Based on Keyphrases
  26. Altmetric Badge
    Chapter 25 Semantically-Enabled Environmental Data Discovery and Integration: Demonstration Using the Iceland Volcano Use Case
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
12 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.
Title
Knowledge Engineering and the Semantic Web
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-41360-5
ISBNs
978-3-64-241359-9, 978-3-64-241360-5
Editors

Pavel Klinov, Dmitry Mouromtsev

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 8%
Student > Master 1 8%
Unknown 10 83%
Readers by discipline Count As %
Computer Science 1 8%
Social Sciences 1 8%
Unknown 10 83%