CargoAdmin, Bureaucrats, Moderators (CommentStreams), fileuploaders, Interface administrators, newuser, Push subscription managers, Suppressors, Administrators
5,287
edits
OpenGov summary: Difference between revisions
→Truth layer
| Line 12: | Line 12: | ||
== Knowledge graph == | == Knowledge graph == | ||
== Safegaurds == | |||
== Truth layer == | == Truth layer == | ||
| Line 31: | Line 33: | ||
== Why Now? == | == Why Now? == | ||
LLMs are starving for clean, structured “ground truth.” Most RAG pipelines today scrape inconsistent .gov websites or parse PDFs, leading to frequent hallucinations and unreliable outputs. | |||
OpenGov Encyclopedia closes this gap by providing: | OpenGov Encyclopedia closes this gap by providing: | ||
| Line 39: | Line 41: | ||
* Real-time freshness from monitored sources | * Real-time freshness from monitored sources | ||
* Full audit trail and human attestation for compliance | * Full audit trail and human attestation for compliance | ||
Federal AI adoption is accelerating under OMB guidance and America's AI Action Plan — but fragmentation and poor data quality undermine it. Existing federal knowledge graph efforts (e.g., CDO Council's Fuels Knowledge Graph for wildland fire metrics, USGS GeoKB for geospatial semantics, NASA people/mission graphs) prove the power of structured relationships but remain domain-siloed or internal. OpenGov Encyclopedia unifies this at low cost: open-source stack (MediaWiki + Cargo), near-zero new infra, phased pilot in high-value areas (e.g., disaster resilience, small business/housing assistance — cross-agency priorities). | |||
== | == Complements the ecosystem == | ||
| Platform | Primary Role | How OpenGov Encyclopedia Complements It | | | Platform | Primary Role | How OpenGov Encyclopedia Complements It | | ||