- From: Orie Steele <orie@transmute.industries>
- Date: Fri, 11 Feb 2022 08:45:20 -0600
- To: Mike Prorock <mprorock@mesur.io>
- Cc: Dan Brickley <danbri@danbri.org>, David Booth <david@dbooth.org>, Frederik Byl <frederik.byl@gmail.com>, semantic-web@w3.org
- Message-ID: <CAN8C-_KqyU7TdqKB51B1nDjRJ=H3-EQgLvRg22CJsTb1wP5KzA@mail.gmail.com>
Thanks for the ping Mike! The images in this PR might explain a bit of our shared use case (supply chain traceability): https://github.com/transmute-industries/verifiable-data/pull/158 (pardon the mess, it's a fairly active repo). Essentially, we design workflows between supply chain parties where they exchange JSON-LD that is relevant to their activities. We use https://www.w3.org/TR/did-core/ and https://www.w3.org/TR/vc-data-model/ (with both LD and JWT proof types) to help with the standards side of signing and verifying JSON-LD. Then we simulate these workflows by generating "Verifiable Credentials" and "Verifiable Presentations" and then we take that JSON data into various databases to visualise what each actor in the supply chain can see, based on what they have received. The quality of the JSON is a function of the ontologies we support, such as schema.org (thank you dan!), chebi, qudt, cefact, etc. https://w3id.org/traceability The work is done in the W3C CCG, and there are a number of companies supporting the effort (including Mesur). Originally I tried to use the neo4j RDF plugin <https://neo4j.com/labs/neosemantics/> to just import the JSON-LD directly, but that didn't work out so well. I think we have a general need to ingest large amounts of JSON-LD and visualize it, and ideally without a significant amount of domain specific tooling. We've also looked at using https://www.ontotext.com/ (which supports sparql). Our experience has been that it's hard to find developers experienced with JSON-LD and RDF, so we spend a lot of time trying to improve developer experience in this space, and make it easier to train developers who come from a more traditional JSON / JOSE background... We think the semantic modeling side is very important, but if the tooling and developer experience is not good enough, we won't be able to leverage those benefits. Any comments on https://linkml.io/ ? Regards, OS ᐧ On Fri, Feb 11, 2022 at 8:12 AM Mike Prorock <mprorock@mesur.io> wrote: > Dan, > > By technical resources - do you mean hiring experts? Or software, cloud >> hosting etc? > > More on the software side of things, and especially onboarding programmers > who may have good data science experience or normal systems/full stack > development experience, but who are new to dealing with JSON-LD. > > We treat JSON-LD as critical for VC use cases, especially in our use of > the Trace Vocab / Interop items at CCG. > > Perhaps you could start a thread walking this community through some real >> life use case? Eg >> https://mesur.io/food-security looks fascinating… (ok I once worked for >> UN FAO so I may have a distorted sense of “fascinating“).. > > Ha! yes, we are big fan of solving problems in a few of those > "fascinating" areas. I probably should give a bit of a separate topic > thread on the practical applications. > > Mike Prorock > CTO, Founder > https://mesur.io/ > >> >>>> -- *ORIE STEELE* Chief Technical Officer www.transmute.industries <https://www.transmute.industries>
Received on Friday, 11 February 2022 14:46:58 UTC