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Graph-Based Representation and Reasoning

Overview of attention for book
Cover of 'Graph-Based Representation and Reasoning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Conceptual Graphs Are Also Graphs
  3. Altmetric Badge
    Chapter 2 Argumentation-Based Paraconsistent Logics
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    Chapter 3 Towards a Framework for Learning from Networked Data
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    Chapter 4 Games on Graphs
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    Chapter 5 A Partial-Closure Canonicity Test to Increase the Efficiency of CbO-Type Algorithms
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    Chapter 6 On Conceptual Graphs and Explanation of Query Answering under Inconsistency
  8. Altmetric Badge
    Chapter 7 Defining Key Semantics for the RDF Datasets: Experiments and Evaluations
  9. Altmetric Badge
    Chapter 8 A Framework for Qualitative Representation and Reasoning about Spatiotemporal Patterns
  10. Altmetric Badge
    Chapter 9 Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection
  11. Altmetric Badge
    Chapter 10 Knowledge Management and Human Trafficking: Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime
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    Chapter 11 Default Reasoning Implementation in CoGui
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    Chapter 12 Extracting Threshold Conceptual Structures from Web Documents
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    Chapter 13 A Formal Topology of Web Classification
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    Chapter 14 Specifying Well-Formed Part-Whole Relations in Coq
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    Chapter 15 Automatic Extraction of Semantic Relations by Using Web Statistical Information
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    Chapter 16 Efficient Representation of Extensional Constraints
  18. Altmetric Badge
    Chapter 17 On the Usability of Random Indexing in Patent Retrieval
  19. Altmetric Badge
    Chapter 18 Teaching Syllogistics Using Conceptual Graphs
  20. Altmetric Badge
    Chapter 19 Graph-Based Representation and Reasoning
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    Chapter 20 Computing Concept Lattices from Very Sparse Large-Scale Formal Contexts
  22. Altmetric Badge
    Chapter 21 Swip: A Natural Language to SPARQL Interface Implemented with SPARQL
  23. Altmetric Badge
    Chapter 22 Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats
  24. Altmetric Badge
    Chapter 23 Combining Business Intelligence with Semantic Technologies: The CUBIST Project
  25. Altmetric Badge
    Chapter 24 FCA-Based Recommender Models and Data Analysis for Crowdsourcing Platform Witology
  26. Altmetric Badge
    Chapter 25 Conceptual Structures in LEADing and Best Enterprise Practices
  27. Altmetric Badge
    Chapter 26 Investigating Oncological Databases Using Conceptual Landscapes
  28. Altmetric Badge
    Chapter 27 Eco-Efficient Packaging Material Selection for Fresh Produce: Industrial Session
Attention for Chapter 19: Graph-Based Representation and Reasoning
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

1 Wikipedia page


2 Dimensions

Readers on

4 Mendeley
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Chapter title
Graph-Based Representation and Reasoning
Chapter number 19
Book title
Graph-Based Representation and Reasoning
Published in
Lecture notes in computer science, July 2014
DOI 10.1007/978-3-319-08389-6_19
Book ISBNs
978-3-31-908388-9, 978-3-31-908389-6

Alexandre Miguel Pinto, Leandro Barroso


Nathalie Hernandez, Robert Jäschke, Madalina Croitoru

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Business, Management and Accounting 1 25%
Unknown 3 75%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 October 2016.
All research outputs
of 8,472,367 outputs
Outputs from Lecture notes in computer science
of 6,729 outputs
Outputs of similar age
of 253,489 outputs
Outputs of similar age from Lecture notes in computer science
of 132 outputs
Altmetric has tracked 8,472,367 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 6,729 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 62% 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 253,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.