To make content more machine-readable, the Semantic Web adds links between structured data, datasets, and metadata to the existing web. It enables machines to interact with humans and use the internet in a similar way. This notebook demonstrates Python applications and key concepts, such as the use of linked data sources like DBpedia and Wikidata, employing tools like SPARQL and RDF.
