Classification & Modalities

• Last updated: Oct 24, 2025 • Read time: 8 min • Version: 4.2.0

Aevum Encyclopedia does not rely on static hierarchies. Our classification system utilizes dynamic neural ontologies to link concepts fluidly, while our multi-modal engine ensures information is delivered in the most appropriate sensory format for the subject matter.

1. Dynamic Ontology

Traditional libraries rely on rigid systems like Dewey Decimal. Aevum uses a Graph-Based Neural Ontology. Every article is a node in a massive web, connected by weighted edges representing semantic relationships, temporal proximity, and causal influence.

ℹ️ System Note

Our AI continuously retrains on incoming verified data to refine these connections, ensuring that emerging fields (like "Quantum Biology") are automatically categorized alongside their parent disciplines.

Primary Taxonomy Classes

Class ID Domain Sub-Divisions Modality Priority
SCI-01 Natural Sciences Physics, Biology, Chemistry Interactive 3D
HST-04 Human History Pre-modern, Modern, Geopolitics Text + Audio
ART-09 Creative Arts Visual Arts, Music, Performance Spatial Audio
TEC-12 Applied Technology CS, Engineering, AI Code/Simulations

2. Sensory Modalities

Knowledge is not one-dimensional. Depending on the subject, Aevum delivers content through optimized sensory modalities. This allows for "Omni-Modal" learning, where a user can switch between formats based on their preference or cognitive style.

📄

Semantic Text

Structured prose with hyper-semantic linking. The base layer for all entries, optimized for screen readers and search indexing.

🎧

Binaural Audio

AI-generated and expert-narrated audio tracks. Includes "Soundscapes" for historical and geographical entries.

🧊

Spatial Visualization

Interactive WebGL 3D models for biological structures, architectural landmarks, and mechanical systems.

🧠

Neural Summary

For Pro users with compatible interfaces: Direct neural-link summaries that bypass visual/auditory cortex processing.

3. API Implementation

Developers can query the classification system via our GraphQL endpoint. Use the `modality` filter to request specific content types.

query GetEntry($id: ID!) {
  entry(id: $id) {
    classification {
      ontologyClass
      relationships { target weight }
    }
    modalities(type: [TEXT, AUDIO, 3D_MODEL]) {
      url
      duration
    }
  }
}