I’m thrilled that Burak is joining us. I have the pleasure to collaborate with him as part of our Inputs and Semantics Work Group (ISWG) at the Trust Over IP Foundation.
Best regards,
Jim
_______________
[Image]
Jim St.Clair
Chief Trust Officer
jim.stclair@lumedic.io<mailto:jim.stclair@lumedic.io> | 228-273-4893<tel:228-273-4893>
Let’s meet to discuss patient identity exchange: https://calendly.com/jim-stclair-1
________________________________
From: Eric Jahn <eric@alexandriaconsulting.com>
Sent: Tuesday, September 28, 2021 8:48:26 AM
To: Daniel Stein <daniel@stewardsofchange.org>; Robin Ann Yurk <rya@mdyurk.com>; Lin, Asiyah (NIH/NHGRI) [E] <asiyah.lin@nih.gov>; tzokaitis@mercyhousing.org <tzokaitis@mercyhousing.org>; Duane Brown <duane.brown@aemcorp.com>; Paul Knowles <paul.knowles@humancolossus.org>; Jim St.Clair <jim.stclair@lumedic.io>; Robert Mitwicki <robert.mitwicki@humancolossus.org>; mukund@semanticclarity.com <mukund@semanticclarity.com>; Brian Handspicker <bd@handspicker.net>; jung.j.kim@gainwelltechnologies.com <jung.j.kim@gainwelltechnologies.com>; Burak Serdar <bserdar@cloudprivacylabs.com>; John Walker <jwalker@semanticclarity.com>
Cc: public-humanservices@w3.org <public-humanservices@w3.org>
Subject: please welcome our new member of Project Unify's Human Services Ontology Workgroup
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Hello fellow ontologists,
Burak Serdar joins us from Cloud Privacy Labs, which, with their data warehouse partner, received a 2021 ONC LEAP award for semantic harmonization of health data. Welcome, Burak! :)
Burak's offered to present during our next Oct. 15th meeting on the topic of layered schemas.
"The idea is to use schemas with semantic layers that add annotations to data. When I
first started I had JSONLD/RDF in mind, but I slowly moved towards a more general labeled property graph approach. We are using this approach to ingest JSON, CSV, and XML documents to convert them to OMOP through a semantic pipeline for our ONC LEAP project. This approach can combine multiple vocabularies at the schema level. Since it is a layered approach, different layers can be used to add terms from vocabularies to the underlying data based on context.
Burak further explained:
Layered schemas architecture is structurally similar to the OCA, but there are some fundamental differences between the two approaches. Layered schemas work with functional terms of a vocabulary, rather than functional overlays. Because of this, it is possible to merge multiple vocabularies to process documents. For instance, you can easily add
w3c's data privacy vocabulary onto the FHIR schema. ...
There is a web site for layered schemas: https://layeredschemas.org<https://layeredschemas.org/>
There is an article about how to add schema layers for data privacy vocabulary: http://layeredschemas.org/docs/dpvls/
There is a "layered schema playground" that also includes layered schema representation of the FHIR schema. There are other sample schemas there as well.
We are working on the concept of "semantic pipelines" using layered schemas to annotate and transform data. We have some proof-of-concept implementations that generate credentials from FHIR input using layered schemas. I am also working on an implementation of FHIR profiles using layered schemas.
This is the architecture we are using for our ONC project to harmonize healthcare data coming from multiple sources. This project is on harmonizing data with different representations (CSV, FHIR (JSON), XML) and different vocabularies.
Looking forward to learning more on Oct 15th!
Eric Jahn
CTO/Data Architect
Alexandria Consulting LLC
St. Petersburg, Florida
727.537.9474
alexandriaconsulting.com
<http://alexandriaconsulting.com>