Great read! Moving from raw information to structured, queryable knowledge is a huge step toward making AI systems more reliable, explainable, and useful. Curious how do you see knowledge graphs and GraphRAG evolving together in real-world applications?
Moving Into the Realm of Structured and Queryable Knowledge.
peculiarlibrarian
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825 Points • 43 Badges
Nairobi, Kenya • github.com/peculiarlibrary/padi-ontology-kernel/wiki
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I am an Information Scientist specializing in Ontology Engineering and the architecture of high-inte... Show moreI am an Information Scientist specializing in Ontology Engineering and the architecture of high-integrity knowledge systems. My work focuses on reclaiming technical equity for professional sectors through the Practice-Area Depth Index (PADI)—a deterministic framework designed to ground probabilistic AI in symbolic truth.
Core Mission:
I leverage OWL 2, RDF logic, and SHACL validation to build "Sovereign Nodes." These nodes allow professionals to transition from rented data silos to permanent, self-governing information environments.
Technical Stack:
Logic: Semantic Web (RDF/Turtle/OWL 2)
Governance: SHACL Data Validation & Provenance Hashing
Interface: Agent-to-User Interface (A2UI) Design
Current Milestone:
Successfully deployed the PADI Dental Technical Standard (v1.0.0), a W3C-compliant repository enforcing clinical data sovereignty through a 3-shape logical architecture. Show less
Core Mission:
I leverage OWL 2, RDF logic, and SHACL validation to build "Sovereign Nodes." These nodes allow professionals to transition from rented data silos to permanent, self-governing information environments.
Technical Stack:
Logic: Semantic Web (RDF/Turtle/OWL 2)
Governance: SHACL Data Validation & Provenance Hashing
Interface: Agent-to-User Interface (A2UI) Design
Current Milestone:
Successfully deployed the PADI Dental Technical Standard (v1.0.0), a W3C-compliant repository enforcing clinical data sovereignty through a 3-shape logical architecture. Show less
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