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Graph-Based Representation and Reasoning

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

Table of Contents

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    Book Overview
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    Chapter 1 Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains
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    Chapter 2 Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis
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    Chapter 3 The Interpretation of Branching Time Diagrams
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    Chapter 4 Extending GWAPs for Building Profile Aware Associative Networks
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    Chapter 5 Representing Multi-scale Datalog \(+/-\) Using Hierarchical Graphs
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    Chapter 6 Transforming UML Models to and from Conceptual Graphs to Identify Missing Requirements
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    Chapter 7 SDDNet: A Semantic Network for Software Design and Development Domain Via Graph Database
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    Chapter 8 Parallel Attribute Exploration
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    Chapter 9 Graph-FCA in Practice
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    Chapter 10 A Semiotic-Conceptual Analysis of Conceptual Learning
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    Chapter 11 Organised Crime and Social Media: Detecting and Corroborating Weak Signals of Human Trafficking Online
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    Chapter 12 Distilling Conceptual Structures from Weblog Data Using Polyadic FCA
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    Chapter 13 \([MS]^2O\) – A Multi-scale and Multi-step Ontology for Transformation Processes: Application to Micro-Organisms
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    Chapter 14 Knowledge Engineering Method Based on Consensual Knowledge and Trust Computation: The MUSCKA System
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    Chapter 15 Web-Mining Defeasible Knowledge from Concessional Statements
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    Chapter 16 Visualizing Ontologies – A Literature Survey
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    Chapter 17 Key Discovery for Numerical Data: Application to Oenological Practices
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    Chapter 18 A Model for Linked Open Data Acquisition and SPARQL Query Generation
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    Chapter 19 Dealing with Incompatibilities During a Knowledge Bases Fusion Process
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
1 tweeter


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Readers on

60 Mendeley
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Graph-Based Representation and Reasoning
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-40985-6
978-3-31-940984-9, 978-3-31-940985-6

Ollivier Haemmerlé, Gem Stapleton, Catherine Faron Zucker

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 2%
Unknown 59 98%
Readers by discipline Count As %
Computer Science 1 2%
Unknown 59 98%