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. |
Introduction to Linked Data
$250.00
Dates: June 2 - June 29Credits: 1.5 CEUs or 15 PDHs
This course is an expansion of the RDF Fundamentals course. Here we will build on the foundations established in the previous course (RDF, SKOS, OWL, URIs, etc.) and focus on Linked Data.
Specifically, we will study what ‘Linked Data’ is and how it is being used on the web, as well as how RDF, URIs, standard web protocols, ontologies and taxonomies all fit together to create the concepts known as Linked Data, the Web of Data, and of course, the Semantic Web. In addition, we will look at different ways that RDF data can be represented (RDF serializations): Turtle, N-Triples, and JSON-LD.
There will be a deeper dive into the technical nature of Linked Data and the Semantic Web in an effort to help you understand how these concepts actually work and in an effort to get you the information you need to start or contribute to Linked Data projects of your own.
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.
This course is part of the Certificate in XML and RDF-Based Systems.
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.
Robert E. Goodman –
This was an excellent course on an introduction to Linked Data covering in good detail just exactly what the course description says it will: RDF, SKOS, OWL, URIs, etc., and the “Semantic Web.” Per the course description, there were many excellent articles and discussions on “how RDF, URIs, standard web protocols, ontologies and taxonomies all fit together to create the concepts known as Linked Data, the Web of Data, and of course, the Semantic Web…[and the] different ways that RDF data can be represented (RDF serializations): Turtle, N-Triples, and JSON-LD.” The reading materials were thorough, easily read, comprehensive, plentiful, educational, and enjoyable to read. Like most things in the world of Data Science, one link leads to another and so there is always one more article with that much more detail to read and enjoy. Robert Chavez, the course instructor, is a delight to learn from and work with. He is knowledgeable, detail-oriented, and professional. I highly recommend this class whether you take it by itself or as part of the certificate program.