Hi all. The Apache Any23 library supports multiple input formats such as: RDFa, Microdata, Microformat, Turtle, etc. [1]. And to my understanding a Dataformat generally focuses on a single format let say RSS [2] or CSV [3]. So, I was wondering which strategy we could use to fit Any23 as a Dataformat.
1) Create a dataformat for each supported input format. Let say create a RDFa dataformat, a Microformat dataformat, etc. All which will be implemented using Any23. 2) Create a single Any23 dataformat which uses options in order to parametrize which specific format to use. Which approach do you think is better? Or do you have other ideas?. Also, the output of Apache Any23 is essentially RDF data which could be represented in many ways, let say RDF-XML, Turttle, JSON-LD, etc. Moreover, it could also be retrieved as java objects through a RDF4J model [4]. So, should a dataformat have only one way to represent the output data or could it be configurable? Best, Roberto [1] https://any23.apache.org/supported-formats.html [2] http://camel.apache.org/rss.html [3] http://camel.apache.org/csv.html [4] https://rdf4j.eclipse.org/documentation/programming/model/
