semantic-web

Goal

To architect machine-readable data structures using Semantic Web standards (RDF, OWL, SPARQL) allowing disparate enterprise systems and AI agents to share a unified, interoperable meta-knowledge graph.

Steps

Domain Modeling: Analyze the business entities and define the formal Vocabulary/Ontology using OWL (Web Ontology Language).
Data Transformation: Design pipelines to map existing relational or document data into RDF triples (Subject-Predicate-Object).
Query Interface: Outline the SPARQL endpoints required for human and agent interaction with the Knowledge Graph.
Output: Generate the formal definitions and structure using agents/templates/data/ONTOLOGY_TEMPLATE.md.

Security & Guardrails

1. Skill Security

SPARQL Injection: Ensure the agent explicitly enforces parameterized queries when designing applications that interface with graph databases to prevent malicious graph traversals.

2. System Integration Security

Inference Leakage: Agents must account for automated inference engines (reasoners) inadvertently linking two unclassified data points to deduce classified information (aggregation attacks).