đĄ Looking for the complete, professional guide? While this repository provides open-source snapshot code (the individual âpiecesâ), our structured multi-volume eBook series on Leanpub and Amazon Kindle provides the complete architectural framework, deep-dive explanations, and advanced engineering practices (such as Stage 4 Semantic Governance).
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EKA stands for:
Executable Knowledge Architecture
EKA is a practical framework for transforming human knowledge into machine-readable, machine-reasonable, and ultimately machine-executable intelligence.
The framework is represented as:
EKA = (K, R, Î, Ί, Î)
K = Knowledge
R = Reasoning & Rules
Î = Triggers
Ί = Actions / Execution
Î = Governance
EKA provides an architectural bridge between:
This project began as an exploration of the legendary Pizza.owl tutorial created by Michael DeBellis and the Protégé community.
Over time it evolved into a broader engineering journey:
Pizza.owl
â
Ontology Engineering
â
Knowledge Graphs
â
Semantic Governance
â
Reasoning
â
AI-Ready Systems
â
Executable Intelligence
The Pizza tutorial remains the educational foundation.
EKA is the destination.
This repository is the official engineering environment for the Executable Knowledge Architecture (EKA) initiative.
The objective is not simply to learn OWL or Protégé.
The objective is to learn how knowledge itself can become:
Through the EKA series you will gradually move from ontology fundamentals toward enterprise-scale knowledge architecture and intelligent systems.
In the era of AI and Large Language Models (LLMs), ontologies provide the formal semantic layer that machines need to reason reliably.
By following this repository and companion eBook series, you will learn how to:

Learning Ontology Engineering through Protégé and Pizza.owl
Chapters 00-08
Introduces ontology engineering fundamentals, Protégé, RDF foundations, class hierarchies, semantic thinking, reasoning, and the EKA framework.
Mastering Object Properties and Ontology Structures
Chapters 09-13
Introduces object properties, inverse properties, property characteristics, domain, range, and semantic relationship design.
OWL Restrictions, Reasoning and Governance
Chapters 14-16
Explores existential restrictions, universal restrictions, reasoning foundations, semantic requirements, and governance concepts.
The Semantic Knowledge Development Lifecycle (SKDL)
Chapters 17-24
Introduces ontology engineering as a disciplined engineering process through the Semantic Knowledge Development Lifecycle.
Transforming Ontologies into Connected Intelligence
Chapters 25-30
Focuses on transforming ontologies into operational knowledge graphs and connected semantic systems.
Knowledge Graphs, Agents and Intelligent Retrieval
Chapters 31-36
Connects ontologies, knowledge graphs, reasoning, retrieval, and agent-based architectures.
Realizing the Vision of Executable Knowledge Architecture
Chapters 37-42
Completes the transformation from semantic knowledge into executable intelligence systems.
All raw chapters remain open-source and available under CC BY-NC-SA 4.0.
Read book source: /ebook/markdown/
This repository is a companion to the complete video series.
Recommended sequence:
Videos
â
Repository Snapshots
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Markdown Chapters
â
Companion eBooks
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Knowledge Graph Projects
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Executable Knowledge Architecture
This work stands on the shoulders of giants.
Special recognition goes to:
and particularly:
Michael DeBellis
whose Pizza.owl tutorial remains one of the most influential practical introductions to ontology engineering ever created.
We are also honored to feature technical review and forewords from:
Timothy W. Cook Founder of SDC (Semantic Data Charter)
The journey begins with pizza.
But the real subject is meaning.
â Michael DeBellis
And in EKA:
The journey begins with Pizza.owl.
The destination is Executable Intelligence.
â EKA Project
Last updated at 2026-09-11