Ontology Axioms Violation

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Table of contents

1 Introduction 
1.1 Objectives & Contributions
1.2 Thesis Outline
2 State of the Art 
2.1 Identity Analysis
2.2 Identity Management Services
2.3 Detection of Erroneous Identity Links
2.3.1 Evaluation Measures
2.3.2 Inconsistency-based Detection Approaches
2.3.3 Content-based Approaches
2.3.4 Network-based Approaches
2.4 Alternative Identity Links
2.4.1 Weak-Identity and Similarity Predicates
2.4.2 Contextual Identity
2.5 Conclusion
3 Identity Analysis and Management Service 
3.1 Approach
3.1.1 Explicit Identity Network: Extraction
3.1.2 Explicit Identity Network: Compaction
3.1.3 Implicit Identity Network: Closure
3.2 Implementation & Experiments
3.2.1 Data Graph
3.2.2 Explicit Identity Network: Extraction
3.2.3 Explicit Identity Network: Compaction
3.2.4 Implicit Identity Network: Closure
3.3 Data analytics
3.3.1 Explicit Identity Network Analysis
3.3.2 Implicit Identity Network Analysis
3.3.3 Schema Assertions About Identity
3.4 Dataset & Web Service
3.4.1 Dataset
3.4.2 Web Service
3.5 Conclusion
4 Erroneous Identity Link Detection 
4.1 Community Structure
4.1.1 Overview
4.1.2 Graph Partitioning Algorithms
4.1.3 Louvain Algorithm
4.2 Approach
4.2.1 Identity Network Construction
4.2.2 Links Ranking
4.3 Implementation & Experiments
4.3.1 Data Graph
4.3.2 Explicit Identity Network Extraction
4.3.3 Identity Network Construction
4.3.4 Graph Partitioning
4.3.5 Links Ranking
4.4 Analysis & Evaluation
4.4.1 Community Structure Analysis
4.4.2 Links Ranking Evaluation
4.5 Conclusion
5 Contextual Identity Relation 
5.1 Contextual Identity Definition
5.1.1 RDF Knowledge Graph
5.1.2 Problem statement
5.1.3 Identity Contexts
5.1.4 Contextual Identity
5.2 Detection of Contextual Identity Links
5.2.1 Experts Knowledge
5.2.2 Contextual Identity in RDF
5.2.3 DECIDE – Algorithm for Detecting Contextual Identity
5.2.4 Contextual Identity Links Examples
5.3 Conclusion
6 Contextual Identity for Life Sciences Knowledge Graphs 
6.1 Five Star Knowledge Graph for Life Sciences
6.1.1 Application Domain
6.1.2 Conceptual Model
6.1.3 Knowledge Graph Construction
6.2 Detection of Contextual Identity in Scientific Experiments
6.2.1 DECIDE Results
6.2.2 Use of Experts Constraints
6.3 Contextual Identity Links for Rule Detection
6.4 Results Summary
6.5 Conclusion
7 Conclusion & Perspectives

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