Hey Chad,

I did some work around this to see what exactly is involved.   I used 27
artists, 13 locations and 5 "verbs." The verbs are...

livedIn
activeIn
educatedIn
bornIn
diedIn

So "Richard Meier was educated in London" becomes a triple like this:
richardmeier_educatedIn_london.  Obviously this number of artists,
locations and events is trivial.  Have a look though the following code and
see what was involved to load these simple subject-predicate-objects into a
triplestore and query it with Sparql:

https://github.com/smoore4moma/tms-rdf/blob/master/tms-rdf/RdfViewer.aspx.cs

I know all about the advantages of the semantic web, but in the end I came
to the conclusion that time is better spent embracing schema.org, json
apis, and other means that are easier to implement and consume.

Steve


Steven Moore
Database Administrator
The Museum of Modern Art (MoMA)
11 West 53 Street ~ New York, NY ~ 10019
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Phone:  011.33.62.782.1223



On Wed, Jun 1, 2016 at 12:57 PM, Chad Petrovay <[log in to unmask]> wrote:

> So I know a few institutions have started the foray into transform TMS
> data into RDF triples for use with the Semantic Web.
>
> For those that have done so, I'm interested in learning more about the
> mechanics of how this is happening for you. I believe that Yale has done
> this using COBOAT, but I was wondering if there were any other approaches
> that people have taken.
>
> Thanks for your input and consideration, ~Chad
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