Research: DPROD implementation strategy #503
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jravenel
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COMPLETE DPROD (Data Product Ontology) RESEARCH: 📋 STRATEGIC DOCUMENTATION: - README.md: Research overview and navigation - strategy.md: Business case and positioning - implementation-scope.md: 5-phase implementation plan - technical-architecture.md: Technical design patterns - integration-roadmap.md: 20-week timeline with milestones - api-specifications.md: Enterprise API specifications 📊 PRACTICAL EXAMPLES: - examples/qwen-agent-dprod.json: DPROD-compliant agent metadata - examples/observability-example.json: Lineage and metrics tracking - examples/sparql-queries.md: 15 SPARQL query examples 🎯 VALUE PROPOSITION: Position ABI as first DPROD-compliant AI agent platform enabling: - Semantic agent discovery via SPARQL - Enterprise data catalog integration - W3C standards compliance for governance - Automated observability and lineage tracking This research establishes foundation for future DPROD implementation.
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First draft on how to implement DPROD