A Structured Representation of Knowledge

Knowledge can be organized in many different ways.

Books organize information into chapters.

Libraries organize books into categories.

Databases organize records into tables.

Dark Mage’s Archive organizes knowledge according to meaning.

Rather than storing information as unstructured text, the archive identifies distinct semantic concepts and the relationships that connect them.

This structured representation allows knowledge to be explored consistently across different sources and traditions.

Building Blocks of Knowledge

The archive is composed of different types of entities, each representing a specific role within the knowledge model.

Rather than treating every piece of information as plain text, each concept is classified according to its meaning and purpose.

This allows relationships to remain clear, consistent, and meaningful as the archive grows.

Core Knowledge Elements

The knowledge model includes several categories of semantic entities, including:

Entries
Procedures
Items
Actions
Functions
Goals
Problems
Principles
Rules
Properties
Quotes
Authors
Sources
Traditions

Each entity represents a different aspect of the knowledge preserved within the archive.

Relationships Give Meaning

Individual entities are valuable, but relationships transform isolated information into knowledge.

A procedure may use several items.

An item may possess multiple properties.

A function may contribute to one or more goals.

A principle may govern several procedures.

A quotation may illustrate a broader concept.

A source may document many related entities.

Together, these relationships create a coherent semantic network that reflects how knowledge is connected rather than simply how it is written.

Consistency Across Sources

Different authors often describe similar ideas using different terminology.

Likewise, identical terms may carry different meanings depending on cultural or historical context.

The knowledge model provides a consistent framework for organizing these variations while preserving the original source and context of each concept.

This allows visitors to compare related knowledge without losing the distinctions that make each source unique.

Designed for Growth

The knowledge model has been designed to evolve alongside the archive.

As new books, traditions, and sources are added, new entities and relationships can be incorporated without changing the overall structure of the archive.

This flexibility allows the knowledge graph to expand naturally while maintaining consistency across the entire collection.

Supporting Discovery

A structured knowledge model enables more than efficient storage.

It enables discovery.

Visitors can navigate between related concepts, compare information from multiple sources, and uncover relationships that would remain hidden within traditional documents.

The objective is not simply to organize information, but to create an environment where knowledge can be explored, understood, and connected in meaningful ways.