Re: ShEX vs JSON schema

I think it is a great idea to test the usage of confirmation tests using
ShEx.

To see the application of ShEx in the protein ShEx file by Leyla you can
play with Eric Prud'hommeaux's implementation: [1], Note that Jose Labra
Gayo's implementation [2] has the same results.

You can load the schema:
https://raw.githubusercontent.com/BioSchemas/specifications/master/Protein/ProteinEntity-with-context.shex
and the data:
https://raw.githubusercontent.com/BioSchemas/specifications/master/Protein/examples/ProteinEntity-with-context.n3
by URL in both of these implementations

I find ShEx useful because it allows testing for conformance of an
expressed shape but also allows defining a semantic model to facilitate
communicating on this. The ShExC format is concise, which helps with the
readibility. Which in turn accelerates the natural evolution of models. So
with an expressed model, you can test for conformance, and possibly adapt
the initial model and evolve.

Maybe I should also point to HL7 extensive use of ShEx e.g. [3]

It also might be worth mentioning the recent publicaiton of book
"Validating RDF Data" [4]

Cheers,

Andra

[1]  http://rawgit.com/shexSpec/shex.js/master/doc/shex-
simple.html?schemaURL=https%3A%2F%2Fraw.githubusercontent.com%2FBioSchemas%
2Fspecifications%2Fmaster%2FProtein%2FProteinEntity-
with-context.shex&dataURL=https%3A%2F%2Fraw.githubusercontent.com%
2FBioSchemas%2Fspecifications%2Fmaster%2FProtein%2Fexamples%
2FProteinEntity-with-context.n3&shape-map=uniprot%3AP00519%
40%3CProteinMinimum%3E&interface=human&regexpEngine=threaded-val-nerr

[2] http://shaclex.herokuapp.com/validate?schemaURL=https%3A%
2F%2Fraw.githubusercontent.com%2FBioSchemas%2Fspecifications%2Fmaster%
2FProtein%2FProteinEntity-with-context.shex&schemaFormat=ShExC&
schemaEngine=ShEx&triggerMode=ShapeMap&dataURL=https%3A%2F%
2Fraw.githubusercontent.com%2FBioSchemas%2Fspecifications%
2Fmaster%2FProtein%2Fexamples%2FPro
<http://shaclex.herokuapp.com/validate?schemaURL=https%3A%2F%2Fraw.githubusercontent.com%2FBioSchemas%2Fspecifications%2Fmaster%2FProtein%2FProteinEntity-with-context.shex&schemaFormat=ShExC&schemaEngine=ShEx&triggerMode=ShapeMap&dataURL=https%3A%2F%2Fraw.githubusercontent.com%2FBioSchemas%2Fspecifications%2Fmaster%2FProtein%2Fexamples%2FProteinEntity-with-context.n3&dataFormat=TURTLE&shapeMap=uniprot%3AP00519%40%3CProteinMinimum%3E>

[3] http://build.fhir.org/observation.shex.html

[4] https://www.amazon.com/dp/1681731649/ref=cm_sw_r_cp_ep_dp_Uk97zbFB571X7


On Wed, Dec 13, 2017 at 11:00 AM, Gray, Alasdair J G <A.J.G.Gray@hw.ac.uk>
wrote:

> Dear All,
>
> Leyla, thanks for kicking of this conversation on the list. It is
> something that I have discussed with several people in face-to-face
> conversations.
>
> On 12 Dec 2017, at 17:41, Leyla Garcia <ljgarcia@ebi.ac.uk> wrote:
>
> Any thoughts on using ShEX [1] or SHACL [2] rather than JSON schema [3]
> for validation purposes?
>
>
> ShEx and SHACL are both more expressive than JSON schema, and better
> capture the validation needs of the Bioschemas profiles. In particular,
> they allow for the capture of relationships between entities and also
> restrictions on the vocabulary terms used.
>
> Between ShEx and SHACL it is a closer run thing and we are doing some
> experimentation with both. ShEx has a more concise notation than SHACL and
> I understand that it has more expressive power. However, the SHACL
> libraries and documentation are more professionally put together and of
> course it has the endorsement of the W3C working group.
>
> There will be an ELIXIR implementation study in 2018 that has a focus on
> validation so hopefully some of these issues can be investigated in that.
>
> Best regards
>
> Alasdair
>
> Alasdair J G Gray
> Fellow of the Higher Education Academy
> Assistant Professor in Computer Science,
> School of Mathematical and Computer Sciences
> (Athena SWAN Bronze Award)
> Heriot-Watt University, Edinburgh UK.
>
> Email: A.J.G.Gray@hw.ac.uk
> Web: http://www.macs.hw.ac.uk/~ajg33
> ORCID: http://orcid.org/0000-0002-5711-4872
> Office: Earl Mountbatten Building 1.39
> Twitter: @gray_alasdair
>
>
>
>
>
>
>
>
>
>
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Received on Thursday, 14 December 2017 00:15:53 UTC