YARRRML: human readable text-based representation for declarative Linked Data generation rules

Dear all,

Do you need to generate Linked Data? Do you want an easy text-based 
approach to do this? We present YARRRML [1,2]: a human readable 
text-based representation for declarative Linked Data generation rules. 
It is a subset of YAML, a widely used data serialization language 
designed to be human-friendly. It can already be used to represent R2RML 
[3] and RML [4,5] rules. Do you want to try it out now? There is a 
tutorial available online [6].

If you have feedback, don't hesitate to contact us. For those attending 
ISWC 2018, my colleagues Anastasia Dimou and Ben De Meester will be 
happy to answer any of your questions.

Kinds regards
Pieter Heyvaert
Ben De Meester
Anastasia Dimou

[1] https://w3id.org/yarrrml/
[2] https://2018.eswc-conferences.org/files/posters-demos/paper_297.pdf
[3] https://www.w3.org/TR/r2rml/
[4] http://rml.io/
[5] https://github.com/rmlio/yarrrml-parser
[6] https://w3id.org/yarrrml/tutorial/getting-started/

Received on Monday, 1 October 2018 12:41:29 UTC