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Graph-Based Representation and Reasoning

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Cover of 'Graph-Based Representation and Reasoning'

Table of Contents

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    Book Overview
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    Chapter 1 Modular Ontologies as a Bridge Between Human Conceptualization and Data
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    Chapter 2 Using Analogical Complexes to Improve Human Reasoning and Decision Making in Electronic Health Record Systems
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    Chapter 3 An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling
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    Chapter 4 Lifted Most Probable Explanation
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    Chapter 5 Lifted Dynamic Junction Tree Algorithm
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    Chapter 6 Defining Argumentation Attacks in Practice: An Experiment in Food Packaging Consumer Expectations
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    Chapter 7 Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille
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    Chapter 8 Combining and Contrasting Formal Concept Analysis and APOS Theory
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    Chapter 9 Musical Descriptions Based on Formal Concept Analysis and Mathematical Morphology
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    Chapter 10 Towards Collaborative Conceptual Exploration
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    Chapter 11 A Visual Analytics Technique for Exploring Gene Expression in the Developing Mouse Embryo
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    Chapter 12 Exploring Heterogeneous Sequential Data on River Networks with Relational Concept Analysis
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    Chapter 13 Conceptual Graphs Based Modeling of Semi-structured Data
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    Chapter 14 Using Conceptual Structures in Enterprise Architecture to Develop a New Way of Thinking and Working for Organisations
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    Chapter 15 Visualizing Conceptual Structures Using FCA Tools Bundle
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    Chapter 16 Node-Link Diagrams as Lenses for Organizational Knowledge Sharing on a Social Business Platform
Attention for Chapter 1: Modular Ontologies as a Bridge Between Human Conceptualization and Data
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4 Mendeley
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Chapter title
Modular Ontologies as a Bridge Between Human Conceptualization and Data
Chapter number 1
Book title
Graph-Based Representation and Reasoning
Published by
Springer, Cham, June 2018
DOI 10.1007/978-3-319-91379-7_1
Book ISBNs
978-3-31-991378-0, 978-3-31-991379-7

Pascal Hitzler, Cogan Shimizu

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 > Master 2 50%
Professor > Associate Professor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%
Medicine and Dentistry 1 25%
Unknown 1 25%