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Computer Science
Databases
Graph Databases
1. Introduction to Graph Databases
2. Graph Data Models and Standards
3. Graph Query Languages and Processing
4. Graph Database Architecture and Implementation
5. Graph Algorithms and Analytics
6. Practical Implementation and Development
7. Advanced Topics and Specialized Applications
Graph Data Models and Standards
Labeled Property Graph Model
Core Components
Node Structure and Properties
Node Labels and Classification
Relationship Types and Properties
Property Data Types
Schema-Optional Design
Modeling Techniques
Entity Relationship Mapping
Hierarchical Data Representation
Network Structure Modeling
Temporal Data Handling
Implementation Platforms
Neo4j Architecture
Amazon Neptune LPG Support
TigerGraph Implementation
ArangoDB Graph Features
Best Practices
Label Design Strategies
Property Naming Conventions
Relationship Type Selection
Performance Optimization
Resource Description Framework
RDF Triple Model
Subject-Predicate-Object Structure
URI and IRI Usage
Literal Values and Data Types
Blank Nodes
Named Graphs
RDF Serialization Formats
Turtle Syntax
RDF/XML Format
JSON-LD Structure
N-Triples Format
N-Quads Format
RDF Schema and Vocabularies
Class Definitions
Property Definitions
Domain and Range Specifications
Inheritance Hierarchies
Web Ontology Language
OWL Classes and Properties
Logical Axioms
Reasoning Capabilities
Ontology Design Patterns
Semantic Web Integration
Linked Data Principles
SPARQL Endpoints
Data Publishing Standards
Vocabulary Reuse
RDF Database Implementations
Apache Jena TDB
Virtuoso Universal Server
Stardog Platform
GraphDB by Ontotext
Hypergraph Models
Hypergraph Theory Basics
Hyperedge Definition
Incidence Relationships
Hypergraph vs Simple Graph
Modeling Complex Relationships
Many-to-Many Relationships
Group Interactions
Multi-Way Connections
Implementation Challenges
Storage Complexity
Query Processing
Visualization Difficulties
Use Case Applications
Collaborative Networks
Multi-Party Transactions
Complex Event Processing
Model Comparison and Selection
Expressiveness Analysis
Data Modeling Flexibility
Relationship Complexity Support
Schema Evolution Capabilities
Query Language Alignment
Cypher for Property Graphs
SPARQL for RDF
Gremlin Cross-Platform Support
Performance Characteristics
Storage Efficiency
Query Performance
Scalability Patterns
Ecosystem Considerations
Tool Availability
Community Support
Standards Compliance
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3. Graph Query Languages and Processing