In JSON-LD Fundamentals we will study JSON-LD (JavaScript Object Notation for Linking Data), a lightweight Linked Data format designed to provide unambiguous semantic meaning to data and designed to make it easy to transform JSON data into Linked Data.
This course is a follow-up to Introduction to JSON and Structured Data. Both courses are follow-ups to our Certificate in XML and RDF-Based Systems.
We accept registrations through the first week of classes, unless enrollment is full, and unless the class was canceled before it started due to low enrollment.
Sequence
This course is a follow-up to Introduction to JSON and Structured Data
Course Description
In JSON-LD Fundamentals we will study JSON-LD (JavaScript Object Notation for Linking Data), a lightweight Linked Data format designed to provide unambiguous semantic meaning to data and designed to make it easy to transform JSON data into Linked Data.
The materials in this course will build on the Introduction to JSON course and cover core JSON-LD, including:
some advanced JSON-LD concepts (more about IRIs and typed values)
building semantic meaning in JSON-LD
using vocabularies/ontologies
expanded, compacted, flattened document forms
named graphs
This course is a follow-up to Introduction to JSON and Structured Data. Both courses are follow-ups to our Certificate in XML and RDF-Based Systems.
Robert Chavez
Robert Chavez holds a PhD in Classical Studies from Indiana University. From 1994-1999 he worked in the Library Electronic Text Resource Service at Indiana University Bloomington as an electronic text specialist. From 1999-2007 Robert worked at Tufts University at the Perseus Project and the Digital Collections and Archives as a programmer, digital humanist, and institutional repository program manager. He currently works for the New England Journal of Medicine as Content Applications Architect.
How to Register
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Payment Info
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Special Session
Please contact us to arrange a special session of this class for a group of seven or more, with a negotiable discount, or to be notified when it is next scheduled.
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