KNOWLEDGE / DESIGN & PRINCIPLES

Knowledge Design

Knowledge is more than stored information. Design it so people can understand and verify it, AI can use it, and both can build on it.

01 / PRINCIPLES

SEPT Principles

Four design principles for preserving meaning and evidence when creating, abstracting, generalizing, integrating, updating, sharing, and reusing knowledge.

Shared

Make knowledge understandable and reusable by others.

Evolving

Keep knowledge open to new evidence and revision.

Plural

Preserve different meanings, records, and interpretations.

Traceable

Connect knowledge to sources, evidence, and decisions.

02 / CONCEPTS

Concepts & Approaches

CONCEPT

Knowledge Versioning

An approach to knowledge change history, semantic differences, and alternative interpretations, drawing on version-control concepts from Git.

APPROACH

Knowledge Graph Diff

An approach to examining changes in claims, relationships, conditions, and supporting evidence—not only graph structure.

03 / EXPERIENCE & EXAMPLES

From Real Data to Knowledge

In Japanese COVID-19 open data, one prefecture might classify patients as “under 10,” while another used “not yet enrolled in school.” These categories are not equivalent. Combining data without preserving those differences can destroy meaning.

This hands-on experience helped shape the Plural and Traceable principles.

04 / READING

Further Reading