Course Information
| Session |
|---|
| Credits | 1.5 CEUs or 15 PDHs |
|---|---|
| Registration dates | 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. |
RDF, RDFa and Structured Data Vocabularies
$250.00
Dates: December 1 - December 28June 1 - June 28
Credits: 1.5 CEUs or 15 PDHs
In RDF and Linked Data a vocabulary is set of definitions that define classes (data types) and properties (terms of the vocabulary). RDF and Linked Data utilizes these vocabularies to describe specific types of things, or things in a given domain or industry, or people, places, products, or events in general.
This course will provide a deep dive into how to work with vocabularies in RDF by learning RDFa, one of the common RDF formats.
Using RDFa we will explore how to mark up existing human-readable Web content to express machine-readable data (RDF triples) that can be utilized by search engines, AI systems and LLMs, metadata systems, and content management systems. Everything we learn about using vocabularies here applies to RDF, Linked Data and SPARQL, the RDF and Linked Data query language.
Topics will include: the relationship between RDFa and RDF graph data, the full RDFa Lite specification, and some of the more useful features of RDFa Core including how to support RDFa in HTML4 and HTML5.
In addition, the course will cover RDF Site Summary or Really Simple Syndication (RSS), a method for easily distributing a list of headlines, update notices, and sometimes content to a wide audience. RSS was originally related to RDF but has evolved over time.
This course can be taken as one of six courses needed to earn our Certificate in XML and RDF-Based Systems, and may assume a certain level of background knowledge covered in other courses in the sequence.
Course Prerequisites: a basic knowledge of RDF is helpful, a review will be provided. For those interested in learning RDF, we recommend taking our RDF Fundamentals course before taking this class.
Course Description
In RDF and Linked Data a vocabulary is set of definitions that define classes (data types) and properties (terms of the vocabulary). RDF and Linked Data utilizes these vocabularies to describe specific types of things, or things in a given domain or industry, or people, places, products, or events in general.
This course will provide a deep dive into how to work with vocabularies in RDF by learning RDFa, one of the common RDF formats.
Using RDFa we will explore how to mark up existing human-readable Web content to express machine-readable data (RDF triples) that can be utilized by search engines, AI systems and LLMs, metadata systems, and content management systems. Everything we learn about using vocabularies here applies to RDF, Linked Data and SPARQL, the RDF and Linked Data query language.
Topics will include: the relationship between RDFa and RDF graph data, the full RDFa Lite specification, and some of the more useful features of RDFa Core including how to support RDFa in HTML4 and HTML5.
In addition, the course will cover RDF Site Summary or Really Simple Syndication (RSS), a method for easily distributing a list of headlines, update notices, and sometimes content to a wide audience. RSS was originally related to RDF but has evolved over time.
This course can be taken as one of six courses needed to earn our Certificate in XML and RDF-Based Systems, and may assume a certain level of background knowledge covered in other courses in the sequence.
Course Prerequisites: a basic knowledge of RDF is helpful, a review will be provided. For those interested in learning RDF, we recommend taking our RDF Fundamentals course before taking this class.
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.
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