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Table of contents
Introduction
Motivation and aim of the work
Frame of the work
Contributions
Thesis organization
1 State of the Art
1.1 Introduction
1.2 Definitions of knowledge
1.3 Knowledge Management
1.4 Knowledge representation and reasoning
1.5 Knowledge Conceptualization
1.6 Knowledge acquisition
1.6.1 Ontology matching and merging
1.6.1.1 Schema-based systems
1.6.1.2 Instance-based systems
1.6.1.3 Mixed and meta-matching systems
1.6.1.4 Merging systems
1.6.1.5 Differences and similarities between this work and the related works
1.6.2 Knowledge acquisition in intelligent systems
1.6.2.1 Differences and similarities between this work and the related works
2 Modular framework for knowledge management
2.1 Logical view of the research framework
2.2 General Knowledge base
2.2.1 Ontological model
2.2.2 Extensibility through matching and merging
2.2.2.1 Matching phase
2.2.2.2 Merging phase
2.3 Approaches to knowledge construction
2.3.1 Top-down approach
2.3.2 Bottom-up approach
2.3.2.1 Self-Organizing Maps
2.3.2.2 Growing Hierarchical Self-Organizing Maps
2.4 Combined approach
2.5 Sharing the knowledge
3 Implementation and evaluation
3.1 Knowledge base implementation
3.1.1 Neo4J population through Cypher queries
3.1.1.1 Graph visualization
3.1.2 Extending the general knowledge base
3.1.2.1 Models creation and reconciliation
3.1.2.2 Matching
3.1.2.3 Aligning
3.1.2.4 Creation of a reference alignment
3.1.2.5 Merging
3.1.2.6 Evaluation
3.2 Top-down approach implementation
3.2.1 Top-down approach evaluation
3.3 Bottom-up approach implementation
3.3.1 Data preparation
3.3.2 Bottom-up approach evaluation
3.3.3 Optimizing parameters for controlling maps growth
3.4 Combined approach implementation and evaluation
4 Validation and applications
4.1 Description of the robotic platform
4.2 Case study: home & office domain
4.2.1 Top-down
4.2.2 Bottom-up
4.3 Case study: cultural heritage domain
General Conclusions
Conclusions
Perspectives
