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Educational Knowledge Graph

This standard "IEEE Guide for Architectural Framework and Application of Educational Knowledge Graph" defines a comprehensive framework for representing, integrating, and utilizing knowledge graphs in the domain of education. It covers the core ontology, data specifications, implementation guidelines, use cases, and best practices for constructing, maintaining, and leveraging educational knowledge graphs (EduKGs) across various educational levels and contexts.

View Sample Graphs

Explore a collection of curated example graphs from real educational subjects aligned to the EduKG ontology and standards.

Build Your Own Graph

Upload your curriculum data or resource list in CSV format, and generate a structured knowledge graph using the EduKG framework.

Certify Your Graph

Validate your implementation against the IEEE EduKG Standard and receive a signed digital certificate of compliance.

Workflow Summary

PHASE 1: EDUKG PREPARATION
Content Collection
Gather educational materials
→
Content Analysis
Extract key concepts
→
Schema Mapping
Map to EduKG ontology
→
Preparation QA
Validate mapped content
PHASE 2: EDUKG CREATION
Entity Creation
Define learning points, resources
→
Relationship Definition
Create semantic connections
→
Graph Construction
Build RDF/OWL representation
→
Graph Evaluation
Test against requirements
PHASE 3: EDUKG USAGE
Knowledge Querying
SPARQL queries, API access
→
LLM Integration
Graph-LLM systems
→
Application Services
Learning platforms, tools
→
Feedback Collection
User data, system metrics
Continuous Improvement Loop

What's Inside the EduKG Ontology?

The EduKG standard defines three core types of nodes: Learning Points (LPitems), Resources (Ritems), and Pedagogical Rules (PRitems), along with the relationships that link them. This structure powers adaptive, personalized learning experiences.

Learning Point
Concept
covers
Resource
Lesson, quiz, etc.
follows
Pedagogical Rule
Rule (e.g., "if fail twice, show hint")

📧 Contact us: edukg.org@gmail.com