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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
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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