Dear colleagues

The National Gallery’s transformation of TMS data to semantic data was carried out by Joseph Padfield of our Scientific Department long before I arrived. There are some notes on his work at http://research.ng-london.org.uk/wiki/index.php/National_Gallery_RDF; if you’d like to know more, let me know and I’ll see what I can find out.

Chad’s email reminds me of a question I’ve been meaning to ask. In order for our semantic data to be truly linked (as well as open and data), we need to connect the entities we describe to those same entities in other linked open datasets (e.g. our Leonardo da Vinci is the same as the Getty ULAN’s Leonardo da Vinci; our ultramarine blue is the same as the AAT’s ultramarine blue; etc.) Is anyone else making those connections and storing them in TMS – and if so, where? And how are you identifying the connections – by hand, or in some more automated fashion?

With best wishes

Rupert


Rupert Shepherd, PhD FSA
Collection Information Manager
[log in to unmask]<mailto:[log in to unmask]>
Tel: +44 (0)20 7747 5921


From: The Museum System (TMS) Users [mailto:[log in to unmask]] On Behalf Of Chad Petrovay
Sent: 01 June 2016 17:57
To: [log in to unmask]
Subject: Semantic Web + TMS

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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