- From: Dan Brickley <danbri@w3.org>
- Date: Mon, 7 Mar 2005 20:38:22 -0500
- To: public-swbp-wg@w3.org
Here's an example from FOAF discussions a couple of years ago. http://swordfish.rdfweb.org/photos/1957/ Libby and I were talking about how best to describe a photo which depicted William Loughborough and Chet Baker. By 'best', I mean in this case, a way which maximises the chance of semweb-style data merging with other sources of information relating to these people. In William's case, I might want to read his latest blog posts and email messages; in Chet's, I might want more photos, or pages/books about him. In both cases, I'd like to download (creative commons-licensed) music that relates to them (recordings, cover versions, etc...). For all these scenarios, the common problem is identification. In FOAF/RDF we'd use William's mailbox, homepage etc. That's easy. For Chet, we'd need to find another indirect identifier. In http://rdfweb.org/pipermail/rdfweb-dev/2003-September/012001.html Libby suggests using a TAP id. I'd be very interested to see this worked through in a TopicMaps context too, as well as SKOS. How should we specify things such that TM data, SKOS thesauri, and other RDF datasets can be mixed together in a queriable manner? thanks for any thoughts, danbri ps. some links for examples: Chet Baker in MusicBrainz http://www.musicbrainz.org/showartist.html?artistid=4326 -> http://musicbrainz.org/artistinfo.html?artistid=4326 -> http://mm.musicbrainz.org/mm-2.1/artist/1ba1d493-7114-45e2-b163-a36d49a0c065 Chet Baker in Open Directory (DMoz), http://dmoz.org/Arts/Music/Styles/Jazz/Bands_and_Artists/B/Baker,_Chet/ (which is available in a giant RDF dump that uses a SKOS-like structure) William's homepage, http://w3.gorge.net/love26/ a document that has him as a foaf:primaryTopic: http://rdfweb.org/people/danbri/2002/02/blindless/ basically, it's great having all these kinds of things in RDF, but it'd be even better if we could figure out which nodes in these different graphs denoted the same thing. http://rdfweb.org/mt/foaflog/archives/2003/07/10/12.05.33/ describes the OWL-powered approach FOAF uses... I'd like to work thru a comparision with Topic Maps and end up in situation where we can answer real questions using SPARQL that draw on both kinds of data...
Received on Tuesday, 8 March 2005 01:38:22 UTC