hoijui
commented
1 month ago The following 4 topics we want to work in are from our NGI Search application. The sub-lists are potential software candidates. We will not be able to work on all of them:
- Linters: Checks standards for validity and adherence to best practices
- for RDF
- for Ontologies (OWL)
- Pretty-Printers: Consistently formats standard and data for optimal git workflows
ttl2pretty- RDF/Turtle- special case for OWL (identified if an
owl:Ontologyis present (NOE: or is there an other way?*.owlis XML only)) nt2pretty- N-Triples is a very simple, text-based RDF serialization format that is efficient to parse
- Validators for Data: Checks whether a HW projects data adheres to the standard
owl2shacl- SHACL can be used to validate RDF dataowl2jsonscm- JSON-Schema can be used to validate JSON, YAML, TOML and similar formats, and to generate GUI forms to create and edit the data.
- Converters : Translate the standard into different formats
owl2shacl(yes, fits here too)owl2jsonscm(yes, fits here too)owl2md- Human-Readable only Markdown (can then be converted to HTML and PDF as well)
In July 2024, we applied for NGI Search funding. If we get accepted, this issue will serve as the organizing hub for the technical part of the proposal.
We selected these 19 initial issues as candidates to be solved within the funding period. We pledge to solve at least 7 of them.
Apart from these, which are all directly related to the standard, we will also work on related tooling:
owl2shacldescription
Converts an OWL ontology (e.g. the OKH standard specification) into SHACL, which can be used to check if hardware project data in the RDF format conforms to the standard, or to automatically generate web forms to enter and edit data in this format.[ ] develop current alpha to a first release; verified by producing meaningful results for these ontologies:
okhokhmetavfowllintdescription
Checks an OWL ontology against best-practices, as defined partly by LOV in their documents: Ontology meta best practise & Ontology HTML version best practise & related paper. Or by us, in a document that will also be created.ttl2prettydescription
Pretty-prints RDF/Turtle files. This can be used both for the ontology as well as for the data. This is crucial for machine- and human optimized git diffs, to reduce merge conflicts, and for humans to find their way around faster within an RDF data file or ontology.owl2jsonscmdescription
Converts an [OWL] ontology into [JSON-Schema], which can be used to check if hardware project data in TOML, JSON or YAML format conforms to the standard, or to automatically generate web forms to enter and edit data in this format.details
This will likely pose a big challenge, and might even prove to be overly complex to the ontology creator, to the point where it will be impractical. In that case, we would document our findings well, and close the case without further pursuing this. Consequently we would also have to re-consider the whole TOML & JSON & YAML secondary format idea.