Table of Contents
Table of Figures
Table of Tables
Table of Tables
Table of Definitions
Table of Definitions
Acknowledgements
Summary
Declaration
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PART I - MOTIVATION

1. INTRODUCTION
1.1 Motivation
1.2 What is Within the Scope of the Thesis…
1.3 … and What is Beyond
1.4 Outline of Thesis
1.4.1 Motivation
1.4.2 Contexts and Context Mediation
1.4.3 Context Mediation in Knowledge Discovery
1.4.4 Conclusions
1.4.5 Appendices
1.5 Accompanying Examples
1.6 Summary

2. RELATED WORK
2.1 A Historical Perspective of Semantic Heterogeneity
2.2 Organisation of Literature Review
2.3 Semantic Heterogeneity Resolution in Multi-Databases
2.3.1 Virtual View Integration
2.3.2 Materialised View Integration
2.3.3 Summary and Evaluation of discussed Approaches
2.4 Mediation in Information Systems
2.4.1 Recapitulation of Mediation Fundamentals
2.4.2 Mediation-based Data Models and Query Languages
2.4.3 Summary and Evaluation of discussed Approaches
2.5 Contexts in Database Environments
2.5.1 Context Representation and Interchange
2.5.2 Context Co-ordination and Building
2.5.3 Context-driven Data Manipulation
2.5.4 Context-Sensitive Reasoning
2.5.5 Summary and Evaluation of discussed Approaches
2.6 Semantic Similarity and Proximity
2.6.1 Attribute-based Approaches
2.6.2 Context-based Approaches
2.6.3 Summary and Evaluation of discussed Approaches
2.7 Knowledge Integration
2.7.1 Knowledge Discovery from Multiple Information Sources
2.7.2 Information Fusion and Ensemble Methods
2.7.3 Knowledge Comparison
2.7.4 Summary and Evaluation of discussed Approaches
2.8 Summary Evaluation of Related Work
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PART II - CONTEXTS AND CONTEXT MEDIATION

3. CONTEXT FUNDAMENTALS
3.1 Context Disciplines
3.1.1 Philosophy
3.1.2 Cognitive Science and Psychology
3.1.3 Linguistics and Lexicographics
3.1.4 Artificial Intelligence
3.1.4.1 Context in Knowledge Representation
3.1.4.2 Context Logic
3.1.4.3 Context in Reasoning
3.1.4.4 Context in Machine Learning
3.1.5 Miscellaneous Fields of Study
3.2 Some Principles of the Study of Contexts
3.3 The Concept of Contexts
3.3.1 Context Identity and Semantic Values
3.3.2 Contextual Comparison Operations
3.3.3 Context Comparison Specification
3.3.4 Ordering Semantic Values
3.3.4.1 Atomic Data Types
3.3.4.2 Complex Data Types
3.3.4.3 Abstract Data Types
3.3.5 Distances between Semantic Values
3.3.6 Topological Organisation of Contexts
3.4 Inter-Ontology Relationships
3.5 Recapitulation

4. CONTEXT MEDIATION
4.1 Context Mediation Objectives
4.2 A Primitive Data Context Mediator
4.3 Early Prototypical Work
4.3.1 Implementation
4.3.2 Performance and Scalability
4.4 A Product and Data Management Application
4.4.1 The Collaboration Architecture
4.4.2 Product and Data Management Ontologies
4.4.3 Ontology Mappings and Mediation
4.4.4 Communication in Product and Data Management
4.5 Recapitulation
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PART III - CONTEXT MEDIATION IN KNOWLEDGE DISCOVERY

5. CONTEXTUAL DATA MEDIATION
5.1 Contextual Data
5.2 The Context Object Data Model
5.2.1 Model Building Prerequisites
5.2.2 The ODMG Object Model
5.2.3 ODMG Meta-Model Extensions
5.3 Context Object Definition Language
5.3.1 Attribute Declaration
5.3.2 Context and Mediator Declaration
5.4 Context Object Query Language
5.5 An Internationalisation Application
5.5.1 Definition of Locales and Locale Mediators
5.5.2 Definition of Localised Data
5.5.3 Working with Localised Data
5.6 Recapitulation

6. CONTEXTUAL DOMAIN KNOWLEDGE MEDIATION
6.1 The Role of Domain Knowledge in Data-intensive Environments
6.2 Domain Knowledge Classification
6.2.1 Taxonomies
6.2.2 Constraints
6.2.3 Previously discovered Knowledge
6.2.4 User Preferences
6.3 Domain Knowledge in Context
6.3.1 Objective and Subjective Domain Knowledge
6.3.2 Contextual Domain Knowledge
6.3.3 Domain Knowledge Context Mediation
6.4 An Application in the Meteorology Domain
6.4.1 Some Meteorological Background Information
6.4.2 Domain Knowledge Extraction and Mediation
6.4.2.1 Domain Knowledge for Data Pre-Processing
6.4.2.2 Domain Knowledge for Pattern Discovery
6.4.3 Summary of Domain Knowledge Mediation
6.5 Summary of Proposed Concepts

7. CONTEXTUAL KNOWLEDGE PATTERN MEDIATION
7.1 Introduction to Knowledge Patterns
7.2 Knowledge Pattern Framework
7.3 Contextual Ranking of Knowledge Patterns
7.3.1 Quantitative and Qualitative Measurements
7.3.1.1 Normalisation
7.3.1.2 Qualitative Measurement
7.3.1.3 Quantitative Measurement
7.3.1.4 Measurement Coalescence
7.3.2 Manipulating ? Distributions
7.3.2.1 Boosting
7.3.2.2 Balancing
7.3.2.3 Inversion
7.3.2.4 Concatenation of Manipulations
7.4 Comparison of Discovered Knowledge
7.4.1 Summary Values
7.4.2 Comparative Operations
7.4.3 Specific Knowledge Types
7.4.3.1 Segments
7.4.3.2 Associations
7.5 Knowledge Cumulus
7.6 A Web Mining Application
7.6.1 Knowledge Comparison between Contexts
7.6.2 Knowledge Ranking in different Contexts
7.7 Summary of Presented Techniques
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PART IV -CONCLUSIONS

8. CONCLUDING REMARKS
8.1 Summary of Contributions
8.1.1 Introducing Context and Context Mediation Fundamentals
8.1.2 Mapping of Context Concepts to Knowledge Discovery Components
8.1.3 Applying Context Mediation Facilities in different Domains
8.1.4 A Contextual Knowledge Discovery Architecture
8.2 Future Work
8.2.1 Improvement of Work Carried out
8.2.2 Enhancements to Presented Research
8.3 Coda
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APPENDICES

A.1. Collection of Introduced Definitions
A.1.1 Contexts
A.1.2 Data Mediation
A.1.3 Domain Knowledge Mediation
A.1.4 Knowledge Pattern Mediation
A.2. Full BNF of Contextual ODMG Extensions
A.3. Predictive Modeling Markup Language
A.4. List of Relevant Publications
A.4.1 Books and Book Chapters
A.4.2 Refereed Journal Articles
A.4.3 Refereed Conference Papers
A.4.4 Refereed Workshop and Colloquia Papers
A.4.5 Miscellaneous Publications
A.4.6 Conference and Workshop Activities
A.5. References
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