The Core Framework
The architectural blueprint and methodological foundation powering Aevum Encyclopedia’s semantic knowledge graph, verification engine, and open-access delivery layer.
Layered Knowledge Stack
A modular, event-driven pipeline designed for scale, accuracy, and interoperability.
Ingestion Layer
Multi-source crawlers, academic APIs, and community submissions normalized into a unified raw corpus.
NLP & Entity Resolution
Transformer-based parsing extracts entities, relations, and semantic context with cross-lingual alignment.
Verification Engine
Multi-vector fact-checking against primary sources, citation networks, and expert review signals.
Knowledge Graph
Property graph + RDF triple store enabling complex reasoning, pathfinding, and dynamic queries.
From Raw Input to Verified Knowledge
Every entry passes through a deterministic, auditable workflow before publication.
Crawling & Aggregation
Continuous harvesting from peer-reviewed journals, open repositories, and validated contributor submissions.
Semantic Parsing & Alignment
NER, relation extraction, and mapping to the Aevum Ontology Schema (AES) for cross-domain consistency.
Triangulation & Scoring
Claims are scored against citation density, source authority, consensus metrics, and temporal relevance.
Expert Review & Publication
Domain reviewers validate edge cases. Approved nodes are indexed, versioned, and pushed to the live graph.
Querying the Graph
Access structured knowledge via GraphQL or SPARQL. Built for researchers, educators, and developers.
entity(id: \$id) {
name
aliases
confidenceScore
relations {
type
target { name }
}
sources(limit: 5) {
url
authority
verified: true
}
}
}
# Response: 23 entities, 4 relations, 0.98 avg confidence
Interoperability & Compliance
Built on open protocols to ensure long-term accessibility and ecosystem integration.
W3C RDF/SPARQL
Full triple-store compliance
JSON-LD 1.1
Linked data embedding
OpenSearch
Semantic vector indexing
CC BY-SA 4.0
Open licensing model
OIDC / OAuth2
Secure contributor auth
GraphQL v16
Type-safe graph queries
Transparency & Trust
Algorithmic accountability and community-driven moderation ensure integrity at scale.
🛡️ Verification Protocol
- Multi-source citation requirement
- Automated hallucination detection
- Temporal decay scoring for outdated claims
- Independent audit trails
⚖️ Editorial Board
- Rotating domain specialists
- Bias mitigation workshops
- Open appeal process for disputed entries
- Quarterly transparency reports