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Knowledge Engineering and Knowledge Management

Overview of attention for book
Cover of 'Knowledge Engineering and Knowledge Management'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Language Resources and Linked Data: A Practical Perspective
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    Chapter 2 From Knowledge Engineering for Development to Development Informatics
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    Chapter 3 Acquisition, Representation and Reasoning About Context with Logic (ARCOE-Logic 2014)
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    Chapter 4 Knowledge Propagation in Contextualized Knowledge Repositories: An Experimental Evaluation
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    Chapter 5 Different Types of Conflicting Knowledge in AmI Environments
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    Chapter 6 Summary of the Workshop on Educational Knowledge Management
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    Chapter 7 Generating Multiple Choice Questions From Ontologies: How Far Can We Go?
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    Chapter 8 Introduction to VISUAL 2014 - Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics
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    Chapter 9 OntoViBe 2: Advancing the Ontology Visualization Benchmark
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    Chapter 10 The Semantic Lancet Project: A Linked Open Dataset for Scholarly Publishing
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    Chapter 11 Personalised, Serendipitous and Diverse Linked Data Resource Recommendations
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    Chapter 12 Spreadsheet-Based Knowledge Acquisition for Facilitating Active Domain Expert Participation
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    Chapter 13 From ER Models to the Entity Model
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    Chapter 14 xWCPS: Bridging the Gap Between Array and Semi-structured Data
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    Chapter 15 Adapting the SEPIA system to the educational context
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    Chapter 16 An Intelligent Textbook that Answers Questions
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    Chapter 17 SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data
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    Chapter 18 Legalo: Revealing the Semantics of Links
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    Chapter 19 TourRDF: Representing, Enriching, and Publishing Curated Tours Based on Linked Data
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    Chapter 20 SUGOI: Automated Ontology Interchangeability
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    Chapter 21 WebVOWL: Web-based Visualization of Ontologies
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    Chapter 22 LSD Dimensions: Use and Reuse of Linked Statistical Data
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    Chapter 23 Storyscope: Using Setting and Theme to Assist the Interpretation and Development of Museum Stories
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    Chapter 24 A Linked Data Approach to Know-How
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    Chapter 25 OntoEnrich: A Platform for the Lexical Analysis of Ontologies
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    Chapter 26 Integrating Unstructured and Structured Knowledge with the KnowledgeStore
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    Chapter 27 Assessing the Spatio-Temporal Fitness of Information Supply and Demand on an Adaptive Ship Bridge
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    Chapter 28 Versatile Visualization, Authoring and Reuse of Ontological Schemas Leveraging on Dataset Summaries
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    Chapter 29 Linked Data Cleansing and Change Management
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    Chapter 30 Culture-Aware Approaches to Modeling and Description of Intonation Using Multimodal Data
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    Chapter 31 RDF Based Management, Syndication and Aggregation of Web Content
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    Chapter 32 Towards Ontology Refinement by Combination of Machine Learning and Attribute Exploration
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

1 blog
1 policy source
2 tweeters
1 Facebook page

Readers on

145 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.
Knowledge Engineering and Knowledge Management
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-17966-7
978-3-31-917965-0, 978-3-31-917966-7

Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini


Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini

Twitter Demographics

The data shown below were collected from the profiles of 2 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Finland 1 <1%
Austria 1 <1%
South Africa 1 <1%
Italy 1 <1%
France 1 <1%
United Kingdom 1 <1%
Egypt 1 <1%
Kuwait 1 <1%
Other 1 <1%
Unknown 134 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 25%
Student > Ph. D. Student 31 21%
Researcher 22 15%
Student > Doctoral Student 15 10%
Student > Bachelor 11 8%
Other 24 17%
Unknown 6 4%
Readers by discipline Count As %
Computer Science 84 58%
Engineering 16 11%
Social Sciences 6 4%
Business, Management and Accounting 5 3%
Agricultural and Biological Sciences 4 3%
Other 18 12%
Unknown 12 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 15 April 2019.
All research outputs
of 14,634,562 outputs
Outputs from Lecture notes in computer science
of 7,473 outputs
Outputs of similar age
of 233,829 outputs
Outputs of similar age from Lecture notes in computer science
of 98 outputs
Altmetric has tracked 14,634,562 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,473 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 233,829 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 87% of its contemporaries.
We're also able to compare this research output to 98 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 96% of its contemporaries.