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Re: Crowdsourcing request: Google People Finder Data as RDF

From: Hugh Glaser <hg@ecs.soton.ac.uk>
Date: Fri, 5 Mar 2010 11:25:11 +0000
To: Aldo Bucchi <aldo.bucchi@gmail.com>, Linked Data community <public-lod@w3.org>
CC: "digitales-por-chile@googlegroups.com" <digitales-por-chile@googlegroups.com>, rzilleruelo <rzilleruelo@gmail.com>, Daniel Pérez Rada <dperezrada@gmail.com>, Nicolas Dujovne <ndujovne@gmail.com>
Message-ID: <EMEW3|eb4eb39f3715fe5afc4a83a5c5bcd8e5m24BPD02hg|ecs.soton.ac.uk|C7B69A97.1089A%hg@ecs.soton.ac.uk>
Not sure if it helps:

It may be that some relief organisations use the UN Locode codes:
We have a Linked Data version of them at
for example http://unlocode.rkbexplorer.com/id/CLTLX
Probably not sufficient granularity for anything useful, I suppose.
And sameas.org doesn't have much co-ref data for that area.

Anyway, as always, if anyone wants to use sameas:org as a clearing house to
bridge and re-publish such things (or anything else), ping me the
equivalence pairs and I will put them in as fast as I can.

Best regards in your endeavours.

On 04/03/2010 14:06, "Aldo Bucchi" <aldo.bucchi@gmail.com> wrote:

> Hi,
> As most of you heard things were a bit shaky down here in Chile. We
> have some requests and hope you guys can help. This is a moment to
> prove what we always boast about: that Linked Data can solve real
> problems.
> Google provides a prople finder service
> (http://chilepersonfinder.appspot.com/) which is right now
> centralizing some ( but not all ) of the missing people data. This
> service is OK but it lacks some features plus we need to integrate
> with other sources to perform analysis and aid our rescue teams /
> alleviate families.
> This is serious matter but it is indeed taken a bti lightly by
> existing software. ( there is a tradeoff between the amount of
> structure you can impose and ease of use in the front-line ).
> What we would love to have is a way to access all feeds from
> <http://chilepersonfinder.appspot.com/> as RDF
> We already have some databases operating on these feeds, but we're
> still far away a clean solution because of its loose structure ( take
> a look and you'll see what I mean ).
> Who wants to take a shot at this?
> Requirements.
> - Take all feeds originating from <http://chilepersonfinder.appspot.com/>
> - Generate an initial RDF dump ( big TTL file )
> - Generate Incremental RDF dumps every hour
> The transfromation should do its best guess at the ideal data
> structure and try not to loose granularity but shield us a bit from
> this feed based model.
> We then take care of downloading this, integrating with other systems,
> further processing, geocoding, etc.
> There's a lot of work to do and the more we can outsource, the bettter.
> On Friday ( tomorrow ) there will be the first nation-wide
> announcement of our search platform and we expect lots of people to
> use our services. So this is something really urgent and really,
> really important for those who need it.
> Ah. Volunteers are moving all this data into a Virtuoso instance that
> will also have more stuff. It will be available soon at
> http://opendata.cl/ so stay tuned.
> We really hope we had something like DBpedia in place by now, it would
> make all this much easier. But now is the time.
> Guys, the tsunami casualties could have been avoided it was all about
> mis-information.
> Same goes for relief efforts. They are not optimal and this is all
> about data in the end.
> I know you know how valuable data is. But it is now that you can
> really make your point! Triple by Triple.
> Thanks!
> A
Received on Friday, 5 March 2010 11:25:55 UTC

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