Introduction to the Semantic Web
summary
Overview of RDF triples, Turtle/JSON‑LD/RDFa serializations, SPARQL queries against DBpedia SPARQL endpoint (example: "Dig It" shows ~15 minute runtime), RDFS inference and simple schema merging (Amsterdam ship vs city causing a 42‑guns mixup), OWL features and hazards including OWL inconsistencies that break reasoners, practical tools like Apache Jena, Protege and reasoners (HermiT/Pellet/Fact++), and the limits: open‑world, non‑unique naming and "anyone can say anything" realities that make linking useful only with shared vocabularies.
AI-written summary · about
chapters (30)
- 0:00Start
- 0:50What this talk is NOT about...
- 2:43Web 2.0
- 4:38Revolutionary?
- 8:09Merging RDF (triples)
- 8:36Merging RDF (graph)
- 9:22Serializing RDF: Turtle
- 9:35Serializing RDF: RDF/XML
- 11:47URI's for namespacing
- 12:40Prefixes & QNames
- 14:33Different name, different concept?
- 15:35Truth & authority
- 17:37Absence of information
- 18:32Triple Store
- 19:52Online SPARQL endpoints
- 21:15RDF Schema (RDFS)
- 23:18RDF Schema & Inference
- 24:34SPARQL & Inference
- 25:17Combining data using inference
- 26:44RDF Schema vs. JSON/XML Schema
- 29:00OWL: Inverse properties
- 29:26OWL: Symmetric properties
- 29:46OWL: Equality
- 30:17OWL: Functional properties
- 31:00Inconsistency
- 32:54Self-test
- 34:38Leveraging the Semantic Web
- 35:57Existing vocabularies
- 37:26Resources
- 39:05Feedback & Questions
related talks
01h 24mStructured Data in 2021 and Beyond
01h 05mThe Linked Data Revolution is Here, Are you Ready?
44mJava goes Semantic Web
39mEmphasising Relationships in the BBC's Data Using Technologies of the Semantic Web
42mWhy JSON-LD and what is it?
34mPirating the Semantic Web with JavaScript
10mOpen, Linked Data for a Global Community
48mSemantic Python: Mastering Linked Data with Python