Data-Centric in Action
summary
Advocates flipping application-first systems to a data-first stack that uses URIs, RDF and JSON-LD to make records self-describing and instantly linkable; shows DBpedia as ~9.5 billion RDF triples already cross-linked and describes tools—RDFS for vocabularies, SHACL for validation, OWL for logic, R2RML to expose legacy SQL—as practical plumbing. Claims enterprises spend 35–65% of IT budgets on integration, and that a data-centric graph can cut that by removing brittle point-to-point code.
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chapters (11)
- 0:00Introduction to data-centric
- 2:00History of computing and data
- 12:13Problems with application-centric systems
- 18:55Data-centric manifesto principles
- 23:50Limitations of JSON and data semantics
- 31:21JSON-LD and linked data basics
- 36:17Building vocabularies with RDF
- 43:40Linked Open Data and network effects
- 49:20Enterprise knowledge graphs in action
- 57:07From data to knowledge with OWL
- 1:00:35Q&A and closing remarks
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