Semantic Python: Mastering Linked Data with Python
summary
Claims that rdflib lets Python code create, query and persist RDF graphs, demonstrates rdflib + NetworkX integration by crawling FOAF data, running SPARQL queries and building a social graph, then computing cliques and betweenness centrality. Shows serializations (N-Triples, N3, RDF/XML, JSON-LD), persistence via SQLite plugin and SQLAlchemy, and SPARQL features like recursive property paths to find transitive friends. Works in-memory for small demos; for large datasets the examples offload querying to triple stores.
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chapters (6)
- 0:00Semantic Python intro
- 10:11Semantic web and RDF basics
- 22:02Linked data with Python & RDFLib
- 36:54Network analysis with semantic queries
- 40:57Next steps and resources
- 47:56Q&A
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