A company has data in heterogeneous source formats and want to share this data as RDF using a Solid pod.
An RML mapping describes how to transform the data to RDF.
An RML mapping engine executes this transformation.
The output of the RML mapping process is a file with RDF data.
Additional configurations and scripts / actions are needed to put this data as a resource and the desired acl on a Solid pod.
Desired solution
The end-goal is to very easily set-up an optimal RDF data sharing service that (i) automatically transforms existing datasources into RDF using RML, (ii) publishes them compliant to the Solid protocols, and (iii) keeps all configuration within a single document.
Acceptance criteria
RMLMapper generates RDF data and publishes it on a Solid pod, including acl, based on the descriptions in an RML mapping file.
Pitch
A company has data in heterogeneous source formats and want to share this data as RDF using a Solid pod. An RML mapping describes how to transform the data to RDF. An RML mapping engine executes this transformation. The output of the RML mapping process is a file with RDF data. Additional configurations and scripts / actions are needed to put this data as a resource and the desired acl on a Solid pod.
Desired solution
The end-goal is to very easily set-up an optimal RDF data sharing service that (i) automatically transforms existing datasources into RDF using RML, (ii) publishes them compliant to the Solid protocols, and (iii) keeps all configuration within a single document.
Acceptance criteria
RMLMapper generates RDF data and publishes it on a Solid pod, including acl, based on the descriptions in an RML mapping file.
Pointers
Scenarios