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Re: [rdf4j-dev] shac, statistics on classes etc
  • From: "Bart Hanssens (BOSA)" <bart.hanssens@xxxxxxxxxxxx>
  • Date: Thu, 27 Apr 2023 21:12:00 +0000
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  • Thread-topic: [rdf4j-dev] shac, statistics on classes etc

Hi Matthew

 

it’s just the regular RDF4J SHACL sail developed by Håvard

+ a couple of minor tweaks to work around some issues in SHACL files that are arguably not entirely conforming to the SHACL spec.

And some very basic selects and a Pebble template to produce an HTML report instead of / next to a RDF/Turtle report

 

So no additional SHACL features.

 

Best regards

 

Bart

 

 

From: rdf4j-dev <rdf4j-dev-bounces@xxxxxxxxxxx> On Behalf Of Matthew Nguyen via rdf4j-dev
Sent: donderdag 27 april 2023 22:36
To: rdf4j-dev@xxxxxxxxxxx
Cc: Matthew Nguyen <nguyenm9@xxxxxxx>
Subject: Re: [rdf4j-dev] shac, statistics on classes etc

 

Hi Bart, does this tool support SHACL-SPARQL constraints? (https://www.w3.org/TR/shacl-af/)

-----Original Message-----
From: Bart Hanssens (BOSA) via rdf4j-dev <rdf4j-dev@xxxxxxxxxxx>
To: rdf4j developer discussions <rdf4j-dev@xxxxxxxxxxx>
Cc: Bart Hanssens (BOSA) <bart.hanssens@xxxxxxxxxxxx>
Sent: Thu, Apr 27, 2023 8:03 am
Subject: [rdf4j-dev] shac, statistics on classes etc

Hi,

 

Just a quick note and some thoughts.

 

I’m developing a stand-alone SHACL validator, nothing fancy, which is to be integrated in my data.gov.be toolchain

 

Of course the SHACL part works like charm, thanks Håvard 😉

Only a few minor issues that will either be solved in 4.3 (severity level),

or are arguably issues with the SHACL files on semic.eu (name on nodeshape, and nodeshapes with empty shacl:property)

 

I was wondering if it would be hard (or interesting for other people) to collect statistics on

  1. number of times a shape did _not_ have validation issues , or how many times a shape matched in total
  2. number of different classes/properties/object values in a dataset

 

Use case for (a) is mainly a metric for data quality (shape violations divided by total),

while (b) is useful for harmonizing data (eg reducing differences) but probably useful for optimizing queries / data storage as well.

 

For the time being I’m (ab)using data cubes for publishing the statistics in TTL, but perhaps there is a better vocabulary.

And I’m guessing some data stores already collect some of this data.

 

Happy to look into it myself, though hints on how to get started would be appreciated 😊

 

 

Best regards,

 

Bart

 

 

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