[andrewstellman]

I'm seeing several people asking what RDF is useful for. If you're curious, I use it for basketball analytics: https://github.com/andrewstellman/pbprdf

Here's an article about my system, pbprdf: https://www.zdnet.com/article/nba-analytics-and-rdf-graphs-g...

And an example of its use: https://gist.github.com/andrewstellman/4872dbb9dc7593e56abdd...

Here's an example of what the RDF files generated by pbprdf look like:

Here's the ontology, which defines the vocabulary it uses: https://github.com/andrewstellman/pbprdf/blob/master/generat...

And this is what the data looks like:

  <pbprdf/games/2017-11-29_Warriors_at_Lakers/230> pbprdf:shotPoints "3"^^xsd:int ;
        pbprdf:shotAssistedBy <pbprdf/players/Klay_Thompson> ;
        pbprdf:shotType "26-foot three point jumper" ;
        pbprdf:shotMade "true"^^xsd:boolean ;
        a pbprdf:Shot ;
        pbprdf:shotBy <pbprdf/players/Stephen_Curry> ;
        a pbprdf:Play ;
        pbprdf:forTeam <pbprdf/teams/Warriors> ;
        pbprdf:inGame <pbprdf/games/2017-11-29_Warriors_at_Lakers> ;
        pbprdf:time "10:23" ;
        pbprdf:period "3"^^xsd:int ;
        a pbprdf:Event ;
        rdfs:label "Warriors: Stephen Curry makes 26-foot three point jumper (Klay Thompson assists)" ;
        pbprdf:secondsIntoGame "1537"^^xsd:int ;
        pbprdf:secondsLeftInPeriod "623"^^xsd:int .

[simo-climb]

Hi Andrew

Thanks for posting your project in full. Too much of RDF/linked data is in the abstract, to big to see the moving parts, or behind propriety doors. I'm at the beginning of the learning curve so it's much appreciated and quite a number of things about the data workflow clicked in - nice to see a graph and instance create process in rd4j.

I'm wondering if you've come across an approach to push the outputs of quantitative sparql queries such as your shot points% to a visualization tool..but, I'm looking for a semantically aware approach.

So as to be informative to this forum.. what do I mean... I'm not talking about a basic flow of the output a flat file (e.g. csv) and digest by a generic tool - take the pick of zillions of libraies here, but Power BI is my current bug bear where Microsoft has sold the promise of self serve BI but leaves everyone else to manaage the chaos of cleaved, chewed and duplicated data and fragile and disconnected calculation(DAX measure) code base.

So what am I looking for ?

Let's call them "measures", but in the rdf construct they are sparql queries as you've documented so well. The measure operates on data that meets constraints of it's type and cardinality amongst other things, but which has, if required been automatically changed as to the conforiming "pattern" using constraint rules. I then build my client application with visuals e.g. a chart or map that displays the sparql query results. The visual changes based on properties or constraints on that data. More over the acutal measure is stored with the data and encapsualted in the client application. Plus it has full provenance also included. I note here that general ontology and instance visualization tools abound, but not what you could call BI tools for charting etc.

I know these have been concevied and prototyped before. See: https://composing-the-semantic-web.blogspot.com/search?q=cha...

I have been building my skills and work flow in a team that's adopting shacl and spin rules to drive data ignestion through to interfaces in the Topbraid tool set. The space is coming along but for this use case of charting and visualizing seems to have stalled, with the above UISPIN work now deprecated and waiting... maybe for shacl and some shacl javascript mappings to come to the rescue.

I've found some interesting new work using webcomponents (polymer/LitElement) that makes sense: https://blog.resc.info/reboot-of-using-interface-encapsulati... But it feels a long way away for me to tackle conceptually and skills wise with yet another code framework to get on top of.

Hoping you've seen some potential paths mate.

Cheers

Simon