UsefulLinks
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
  1. Computer Science
  2. 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
2.
Foundational Technologies
2.1.
Graph Theory Basics
2.1.1.
Vertices and Edges
2.1.2.
Directed vs Undirected Graphs
2.1.3.
Paths and Connectivity
2.1.4.
Graph Traversal
2.1.5.
Cycles and Trees
2.1.6.
Graph Properties
2.2.
Knowledge Representation Principles
2.2.1.
Symbolic Representation
2.2.2.
Logic-Based Approaches
2.2.3.
Open World Assumption
2.2.4.
Closed World Assumption
2.2.5.
Unique Name Assumption
2.2.6.
Non-Monotonic Reasoning
2.3.
RDF Data Model
2.3.1.
Triple Structure
2.3.1.1.
Subject
2.3.1.2.
Predicate
2.3.1.3.
Object
2.3.2.
Resource Identification
2.3.2.1.
URIs and IRIs
2.3.2.2.
Blank Nodes
2.3.2.3.
Literals
2.3.3.
RDF Graphs
2.3.3.1.
Named Graphs
2.3.3.2.
Graph Merging
2.3.3.3.
Graph Operations
2.4.
RDF Serialization Formats
2.4.1.
Turtle
2.4.2.
N-Triples
2.4.3.
N-Quads
2.4.4.
RDF/XML
2.4.5.
JSON-LD
2.4.6.
TriG
2.5.
Linked Data Principles
2.5.1.
URI Usage
2.5.2.
HTTP Dereferencing
2.5.3.
RDF Standards
2.5.4.
Linking Strategies

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3. Schema Design and Ontology Engineering

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