DataBooks: Markdown as Semantic Infrastructure

DataBooks: Markdown as Semantic Infrastructure

"Something has been missing from the semantic web stack for a long time, and it’s been hiding in plain sight.

The RDF ecosystem has always known how to handle large, persistent, well-indexed knowledge graphs. Triple stores, SPARQL endpoints, federated query — these are mature, well-understood tools for managing graph data at scale. What the ecosystem has never handled well is everything else: the small, contextual, task-specific, ephemeral, or pipeline-stage graph content that makes up the majority of actual knowledge work. The data that doesn’t need a database. The graph that lives for the duration of a process and then needs to be archived, referenced, or passed downstream. The semantic content that a human needs to read and a machine needs to process."