The project Linked Data for Professional Education (LD4PE), funded between 2014 and 2017 by the Institute of Museum and Library Studies (IMLS) and lead by the University of Washington Information School, developed a web-based exploratorium to support structured discovery of online learning resources about Linked Data. The project produced this website, which has been converted into a static site for preservation, and a Linked Data Competency Index. DCMI will keep this site online on a "best effort" basis as long as resources permit. The Internet Archive's Wayback Machine should be regarded as the source of archival copies for the long term.

Parsing and Serializing RDF Data with Ruby

This tutorial teaches how to parse and serialize RDF data using the RDF.rb library for Ruby. There exist a number of Linked Data serialization formats based on RDF, and you can use most of them with RDF.rb. To follow along and try out the code examples in this tutorial, you need only a computer with Ruby and RubyGems installed.

URL: http://blog.datagraph.org/2010/04/parsing-rdf-with-ruby
Keywords: Ruby, Parsing, Serialization, Raptor
Author: Bendiken, Arto
Date created: 2010-04-21 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P30M
Interactivity type: mixed

Competencies

Understands how components of the RDF data model (datasets, graphs, statements, and various types of node) are expressed in the RDF library of a given programming language by constructs such as object
- Uses an RDF programming library to serialize RDF data in available syntaxes.

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Parsing and Serializing RDF Data with Ruby