This blog post goes over three basic tasks for consuming RDF with Python: Fetching the data; Parsing the data returned into a graph; Traversing the graph to display the data. It also includes a detailed breakdown of a piece of functional code that extracts from a virtual graph four sets of values: Name(s) of the Creative Work; Name(s) of the Author(s); Description of the Creative Work;
Name(s) of the Subject(s).

URL: http://www.oclc.org/developer/news/2016/making-sense-of-linked-data-with-python.en.html
Keywords: Python, RDFLib, Query, JSON-LD
Author: Mixter, Jeff
Publisher: OCLC (Online Computer Library Center)
Date created: 2016-06-10 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: student
Interactivity type: expositive

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