As I blogged about before, I’ve implemented the current drafts of CSV on the Web in the rdf-tabular gem. The gem is is available from rdf-tabular repo and is in the public domain (Unlicense) and is freely usable by anyone wishing to get a start on their own implementation. For those wishing to take an incremental approach, this post describes the basic workings of the gem, highlights more advanced cases necessary to pass the Test Suite and attempts to provide some insight into the process of implementing the specifications.
As many who follow me know, I’ve long been involved in the Linked Data and Semantic Web movements. It’s been my privilege to work on several successful projects, notably RDFa, Microdata RDF, and JSON-LD. For the past several months I’ve actively been working with the W3C CSV on the Web Working Group to help define a mechanism for transforming tabular data into RDF and JSON.
I’m happy to announce release 1.1.0 of the Ruby RDF suite, this includes support for RDF 1.1 Concepts and syntaxes, including RDF Literal changes, N-Triples, N-Quads, TriG and JSON-LD. Additionally, the SPARQL gem has been updated to support RDF 1.1 differences (mainly differences in plain literals vs those with xsd:string datatypes and the fact that language-tagged literals now have the rdf:langString datatype).
I had a great dive in the Philippines diving at Atmosphere Resort in Negros Oriental and Amun Ini in Bohol. This was really a great opportunity for some warm-water macro-photography, and as I had not even brought a wide-angle lens, this is where I focused. Enjoy the photo gallery.