Graph-Based Representation and Reasoning

Name: Graph-Based Representation and Reasoning | 23rd International Conference on Conceptual Structures, ICCS 2018, Edinburgh, UK, June 20-22, 2018, Proceedings
Brand: Springer
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23rd International Conference on Conceptual Structures, ICCS 2018, Edinburgh, UK, June 20-22, 2018, Proceedings

Peter Chapman Dominik Endres Nathalie Pernelle(Editor)

Springer (Publisher)

Published on 7. June 2018

XII, 201 pages

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978-3-319-91379-7 (ISBN)

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Content

Intro
Preface
Organization
Diagrams and Nonmonotonic Logic: What is the Cognitive Relation? (Abstract)
Contents
Invited Keynote
Modular Ontologies as a Bridge Between Human Conceptualization and Data
1 The Case for Modular Ontologies
2 Ontology Design Patterns
3 The Future of Modular Ontology Engineering
References
Graph- and Concept-Based Inference
Using Analogical Complexes to Improve Human Reasoning and Decision Making in Electronic Health Record Systems
1 Introduction
2 Preliminaries
2.1 Formal Concept Analysis
2.2 Proportional Analogies for Formal Concepts
3 Motivation
4 Experiments
5 Conclusions and Future Work
References
An Efficient Approximation of Concept Stability Using Low-Discrepancy Sampling
1 Introduction
2 Background
2.1 Formal Concept Analysis
2.2 Stability Index
2.3 Approximating Stability
3 LDS for Stability
3.1 LDS Framework
3.2 Generating Low-Discrepancy Sequences
3.3 LDS Algorithm for Estimating Stability
3.4 LDS Versus MCS
4 Experimental Evaluation
4.1 Methodology
4.2 Results and Discussion
5 Conclusion
References
Lifted Most Probable Explanation
1 Introduction
2 Preliminaries
2.1 Parameterised Models
2.2 Query Answering Algorithms
3 Lifted Algorithms for Most Probable Explanations
3.1 Most Probable Explanation with LVE
3.2 Most Probable Explanation with LJT
3.3 Discussion
4 Case Study: Risk Analysis
5 Conclusion
References
Lifted Dynamic Junction Tree Algorithm
1 Introduction
2 Parameterised Probabilistic Dynamic Models
2.1 Parameterised Probabilistic Models
2.2 Parameterised Probabilistic Dynamic Models
3 Lifted Dynamic Junction Tree Algorithm
3.1 Lifted Junction Tree Algorithm
3.2 Interface Algorithm
3.3 LDJT: Overview
3.4 LDJT: FO Jtree Construction for PDMs
3.5 LDJT: Reasoning with FO Jtrees from PDMs
4 Evaluation
5 Conclusion
References
Computer Human Interaction and Human Cognition
Defining Argumentation Attacks in Practice: An Experiment in Food Packaging Consumer Expectations
1 Introduction
2 Argumentation Primer
3 Case Study
4 Experimentation Protocol
5 Discussion
6 Conclusion
References
Empirically Evaluating the Similarity Model of Geist, Lengnink and Wille
1 Introduction
2 Similarity Models
2.1 Contrast Model
2.2 GLW Model
3 Experimental Test of the GLW Model
3.1 Feature List Experiment
3.2 Main Experiment
4 Discussion
References
Combining and Contrasting Formal Concept Analysis and APOS Theory
1 Introduction
2 A Short Description of the Two Theories
2.1 Formal Concept Analysis (FCA)
2.2 APOS Theory
3 Interiorisation and Conceptualisation
4 Encapsulation and Switching to a Meta-Level
5 Conclusion
References
Musical Descriptions Based on Formal Concept Analysis and Mathematical Morphology
1 Introduction
2 Lattice of Interval Structures
3 Mathematical Morphology Operations on Musical Concept Lattices
3.1 Preliminaries
3.2 Dilations and Erosions from the Decomposition into Join or Meet Irreducible Elements
3.3 Dilations and Erosions Based on Structuring Elements Derived from a Valuation
4 Harmonico-Morphological Descriptors Based on Congruence Relations
4.1 Definitions
4.2 Algorithm
4.3 Example on Ligeti's String Quartet No. 2
5 Conclusion
References
Towards Collaborative Conceptual Exploration
1 Introduction
2 Related Work
3 Attribute Exploration and FCA Basics
3.1 Setting
3.2 Attribute Exploration
4 Consortium
5 Exploration with Consortial Experts
5.1 Correcting Falsely Accepted Implications
5.2 Consistency
5.3 Abilities and Limitations of a Consortium
5.4 Extensions
6 Conclusion and Outlook
References
Graph Visualization
A Visual Analytics Technique for Exploring Gene Expression in the Developing Mouse Embryo
1 Introduction
2 The e-Mouse Atlas Project
3 Creating a Formal Context of Gene Expression
3.1 Inferred Gene Expression Results
3.2 An Algorithm for Creating Formal Contexts of Gene Expression from EMAGE Data
4 Concept Lattices of Gene Expression
5 Related Work
6 Conclusions and Further Work
References
Exploring Heterogeneous Sequential Data on River Networks with Relational Concept Analysis
1 Introduction
2 Preliminaries
2.1 Heterogeneous CPO-Patterns
2.2 RCA
3 Heterogeneous Hydro-Ecological Data
4 Data Modelling
5 Exploration of Heterogeneous Data by Using RCA
6 Extraction of Heterogeneous CPO-Patterns Organised into a Hierarchy
7 Results and Evaluation
8 Related Work
9 Conclusion
References
Conceptual Graphs Based Modeling of Semi-structured Data
1 Introduction and Related Work
2 Graphic Representation of Semi-structured Data Model by Conceptual Graphs
3 CG Based Representation of XML Data Structure
4 An Example to Illustrate the Representation of XML Schema with Conceptual Graphs
5 The Visual Interface
6 Conclusions and Future Work
References
Using Conceptual Structures in Enterprise Architecture to Develop a New Way of Thinking and Working for Organisations
1 Introduction
2 Understanding Architectural Layers in Organisations
2.1 An Illustration
3 Conceptual Structures
3.1 The Business Layer
3.2 The Information Systems Layer
4 The Whole Meta-Model
5 Conclusions
References
Posters
Visualizing Conceptual Structures Using FCA Tools Bundle
1 Introduction
2 Related Work
3 FCA Tools Bundle - Description and Features
4 Conclusions and Future Work
References
Node-Link Diagrams as Lenses for Organizational Knowledge Sharing on a Social Business Platform
1 Introduction
2 Method
3 Towards More Insightful Node-Link Diagrams
References
Author Index

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Graph-Based Representation and Reasoning

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