↓ Skip to main content

Knowledge Discovery, Knowlege Engineering and Knowledge Management

Overview of attention for book
Cover of 'Knowledge Discovery, Knowlege Engineering and Knowledge Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Helping People Remember: Coactive Assistance for Personal Information Management on a Semantic Desktop
  3. Altmetric Badge
    Chapter 2 Modeling Uncertainties in Advanced Knowledge Management
  4. Altmetric Badge
    Chapter 3 Authentication Using Multi-level Social Networks
  5. Altmetric Badge
    Chapter 4 Extracting Relationship Associations from Semantic Graphs in Life Sciences
  6. Altmetric Badge
    Chapter 5 Sequential Supervised Learning for Hypernym Discovery from Wikipedia
  7. Altmetric Badge
    Chapter 6 Knowledge Discovery, Knowlege Engineering and Knowledge Management
  8. Altmetric Badge
    Chapter 7 Extracting and Rendering Representative Sequences
  9. Altmetric Badge
    Chapter 8 Unsupervised Quadratic Discriminant Embeddings Using Gaussian Mixture Models
  10. Altmetric Badge
    Chapter 9 How to Rank Terminology Extracted by Exterlog
  11. Altmetric Badge
    Chapter 10 Average Cluster Consistency for Cluster Ensemble Selection
  12. Altmetric Badge
    Chapter 11 Cross-Lingual Evaluation of Ontologies with Rudify
  13. Altmetric Badge
    Chapter 12 Towards a Formalization of Ontology Relations in the Context of Ontology Repositories
  14. Altmetric Badge
    Chapter 13 ARAGOG Semantic Search Engine: Working, Implementation and Comparison with Keyword-Based Search Engines
  15. Altmetric Badge
    Chapter 14 Cooperative WordNet Editor for Lexical Semantic Acquisition
  16. Altmetric Badge
    Chapter 15 Analogical Cliques in Ontology Construction
  17. Altmetric Badge
    Chapter 16 Detection and Transformation of Ontology Patterns
  18. Altmetric Badge
    Chapter 17 Islands and Query Answering for Alchi-ontologies
  19. Altmetric Badge
    Chapter 18 Ontology Co-construction with an Adaptive Multi-Agent System: Principles and Case-Study
  20. Altmetric Badge
    Chapter 19 A Methodology for Knowledge Acquisition in Consumer-Oriented Healthcare
  21. Altmetric Badge
    Chapter 20 Combining Statistical and Symbolic Reasoning for Active Scene Categorization
  22. Altmetric Badge
    Chapter 21 A Semi-automatic System for Knowledge Base Population
  23. Altmetric Badge
    Chapter 22 Enterprise Wikis – Types of Use, Benefits and Obstacles: A Multiple-Case Study
  24. Altmetric Badge
    Chapter 23 A Knowledge Management System and Social Networking Service to Connect Communities of Practice
  25. Altmetric Badge
    Chapter 24 Design Issues for an Extensible CMS-Based Document Management System
  26. Altmetric Badge
    Chapter 25 CrimeFighter: A Toolbox for Counterterrorism
  27. Altmetric Badge
    Chapter 26 Functional Analysis of Enterprise 2.0 Tools: A Services Catalog
  28. Altmetric Badge
    Chapter 27 Scenario Process as a Community for Organizational Knowledge Creation and Sharing
  29. Altmetric Badge
    Chapter 28 Neural Networks Aided Automatic Keywords Selection
  30. Altmetric Badge
    Chapter 29 Value Knowledge Management for Multi-party Conflicts: An Example of Process Structuring
  31. Altmetric Badge
    Chapter 30 Leveraging Organizational Knowledge Management through Corporate Portal
Overall attention for this book and its chapters
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
4 X users
wikipedia
2 Wikipedia pages

Readers on

mendeley
10 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 Discovery, Knowlege Engineering and Knowledge Management
Published by
ADS, March 2011
DOI 10.1007/978-3-642-19032-2
ISBNs
978-3-64-219031-5, 978-3-64-219032-2
Editors

Fred, Ana, Dietz, Jan L. G., Liu, Kecheng, Filipe, Joaquim

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 20%
Researcher 1 10%
Unknown 7 70%
Readers by discipline Count As %
Computer Science 1 10%
Social Sciences 1 10%
Engineering 1 10%
Unknown 7 70%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 17 February 2024.
All research outputs
#4,454,985
of 23,849,241 outputs
Outputs from ADS
#3,472
of 38,874 outputs
Outputs of similar age
#21,096
of 111,386 outputs
Outputs of similar age from ADS
#30
of 493 outputs
Altmetric has tracked 23,849,241 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38,874 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 111,386 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 493 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 92% of its contemporaries.