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Computer Science
Data Science
Knowledge Graphs
1. Introduction to Knowledge Graphs
2. Foundational Technologies
3. Schema Design and Ontology Engineering
4. Knowledge Graph Construction
5. Storage and Management Systems
6. Querying and Reasoning
7. Applications and Use Cases
8. Advanced Topics
9. Implementation and Best Practices
5.
Storage and Management Systems
5.1.
Triplestore Architecture
5.1.1.
Storage Models
5.1.1.1.
Native Storage
5.1.1.2.
Relational Backend
5.1.1.3.
NoSQL Backend
5.1.2.
Indexing Strategies
5.1.2.1.
SPO Indexes
5.1.2.2.
Predicate Indexes
5.1.2.3.
Full-Text Indexes
5.1.3.
Query Processing
5.1.3.1.
Query Planning
5.1.3.2.
Optimization
5.1.3.3.
Execution
5.2.
Property Graph Databases
5.2.1.
Neo4j
5.2.2.
Amazon Neptune
5.2.3.
ArangoDB
5.2.4.
TigerGraph
5.3.
Hybrid Systems
5.3.1.
Multi-Model Databases
5.3.2.
Federated Systems
5.3.3.
Distributed Architectures
5.4.
Performance Considerations
5.4.1.
Scalability Patterns
5.4.2.
Partitioning Strategies
5.4.3.
Replication Methods
5.4.4.
Caching Mechanisms
5.5.
Data Loading and Updates
5.5.1.
Bulk Loading
5.5.2.
Incremental Updates
5.5.3.
Transaction Management
5.5.4.
Consistency Models
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6. Querying and Reasoning