eka

EKA Implementation Roadmap

EKA Maturity Framework: Three Evolution Stages

1. Diagramming: Conceptual stetching, relationship mapping, and initial structure sorting
2. Meta-Modeling & Ontology: Defining meta-models, standardizing entities and properties, and creating formal semantic definitions.
3. Executable Knowledge Graph: Building enterprise-wide linked data, automated reasoning, and scalable intelligent services.

EKA Maturity Core Artifacts

1. Diagram: Drafting of concept maps and initial connections
2. Meta-Model: Structured template defining categories and properties
3. Ontology: Detailed semantic definition of enterprise concepts
4. Knowledge Graph: Connected network of facts, systems, and processes
5. Decision Model: Executable rule logic and policy definitions
6. Knowledge Product: Packaged knowledge assets, including datasets and smart services

EKA Implementation Cycle (as a workflow of the artifacts)

flowchart LR
A[Capture Step]-->B[Structure Step]-->C[Connect Step]-->D[Compute Cycle]-->E[Deliver Step]-->A

Here are the details of every step:

1. Capture Step: Conceptual sketching, relationship mapping, connections
2. Structure Step: Structural template defining categories and properties
3. Connect Step: Detailed semantic definition of concepts
4. Compute Cycle: Executable rule logic and policy definitions
5. Deliver Step: Packaged knowledge and smart services

Inputs and Outputs of EKA

Knowledge Inputs to EKA Framework

• Structured Data
• Unstructured Documents
• Processes and Systems Information
• Experience and Insights
• External Knowledge

Outputs (Outcomes) from EKA Framework

• Faster Insight
• Better Decision
• Executable Knowledge
• Cost & Efficiency
• Continuous Evolution

EKA Core Principles

1. Executable First
2. Semantic Driven
3. Computable
4. Reusable
5. Evolvable
6. Value Creater

This site is open source. Improve this page.