Visualize Connections.
Navigate Meaning.

Our semantic knowledge graphs map relationships between concepts, entities, and disciplines across 2.4 million verified articles. Explore, query, and export structured knowledge in real time.

Graph Neural Networks Ontology Mapping Real-Time Ingestion SPARQL & GraphQL

Interactive Graph Explorer

Core Concepts
Entities
Events
Disciplines
Semantic Links

How Semantic Graphs Are Built

From raw text to structured knowledge in milliseconds. Our pipeline ensures precision, traceability, and scalability.

Step 01

Entity Extraction

Advanced NLP models identify named entities, properties, and contextual attributes across multilingual corpora.

Step 02

Relation Mapping

Semantic relationships (causes, derives-from, influences, part-of) are validated against cross-referenced ontologies.

Step 03

Graph Assembly

Nodes and edges are weighted, clustered, and indexed for sub-millisecond traversal and interactive rendering.

What You Can Do

🔗

Multi-Hop Reasoning

Trace indirect relationships across 3-7 hops to uncover hidden connections between seemingly unrelated topics.

🌐

Cross-Lingual Alignment

Map equivalent concepts across 140+ languages using bilingual seed pairs and embedding translation.

Live Updates

New articles and citations are ingested and graph-integrated within minutes of publication.

📦

Export & Interop

Download subgraphs as JSON-LD, RDF, or CSV. Compatible with Neo4j, Apache Jena, and WebVOWL.

Use Cases

🎓

Academic Literature Review

Map citation networks, identify foundational papers, and discover emerging research fronts without manual searching.

🏛️

Cultural Heritage Mapping

Trace artifact provenance, connect historical figures to movements, and visualize cross-civilizational influences.

🏢

Enterprise Knowledge Management

Unify internal documentation, patents, and research into a single navigable graph for faster decision-making.

API & Integration

Query the Graph Programmatically

Access the full Aevum knowledge graph via REST or GraphQL. Supports SPARQL for complex traversals and real-time subscription feeds.

  • GET /v1/graph/nodes
  • GET /v1/graph/edges/:id
  • POST /v1/graph/query
  • POST /v1/graph/export
  • GET /v1/ontology/versions
// Query related concepts via GraphQL const response = await fetch('https://api.aevum.edu/v1/graph/query', { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${API_KEY}` }, body: JSON.stringify({ query: `{ nodes(filter: {category: "quantum_physics"}) { id label connections(limit: 5) { relation target } } }` }) });

Ready to Map Your Knowledge?

Access the full semantic graph, generate custom visualizations, or integrate directly into your research pipeline.