Graph: Extraction, Analysis & Categorical Compression

Systematic extraction and analysis of entities, relationships, and ontological structures from unstructured text—enhanced with categorical metagraph compression enabling scale-invariant representation through structural equivalence, k-bisimulation summarization, and quotient constructions that preserve query-answering capabilities while achieving dramatic size reductions.

Quick Start

Basic Extraction

Load schema: Read /mnt/skills/user/knowledge-graph/schemas/core_ontology.md for entity/relationship types
Extract entities and relationships using the schema as a guide
Format as JSON following /mnt/skills/user/knowledge-graph/templates/extraction_template.md
Validate: Run validation script on extracted graph

Compression Workflow

# 1. Extract → validate → analyze topology
python scripts/validate_graph.py graph.json
python scripts/analyze_graph.py graph.json --topology