Re: tweet2rdf vocabulary convergence

Benjamin,

Very timely, indeed. I'm currently writing on a tool that allows temporal
tracking with the following logic:

+ time-stamp tweets (that is, put in a named graphs with the time slot they
have been posted - what do people think, are 5s a sensible time slot?) in
order to be able to make statements in which order what happened (I fear
that the concrete time stamp in RSS is not sufficient, hence ...)

+ interlink the tweets with the following structured data items as a
interlink basis: @xxx, 'RT' (and its variants) and #topic (mostly covered by
nanoformats)

> Should we try to create a shared vocab for
> such in-tweet data (recipient, mentioned people, author-avatar/profile,
> tags, machine tags, short urls, expanded urls, re-tweets, vias,
> embedded Linked Data URIs, groups, DM, ...)?

I'd be very interested to engage in this. Please let me know if you have
concrete steps planned. Maybe first review existing vocabs to see what is
covered already, today?

Cheers,
      Michael

-- 
Dr. Michael Hausenblas
LiDRC - Linked Data Research Centre
DERI - Digital Enterprise Research Institute
NUIG - National University of Ireland, Galway
Ireland, Europe
Tel. +353 91 495730
http://linkeddata.deri.ie/
http://sw-app.org/about.html



> From: Benjamin Nowack <bnowack@semsol.com>
> Organization: semsol.com
> Reply-To: Benjamin Nowack <bnowack@semsol.com>
> Date: Mon, 28 Sep 2009 11:35:53 +0200
> To: Semantic Web community <semantic-web@w3.org>
> Subject: tweet2rdf vocabulary convergence
> Resent-From: Semantic Web community <semantic-web@w3.org>
> Resent-Date: Mon, 28 Sep 2009 09:36:31 +0000
> 
> 
> Hi,
> 
> Morton Swimmer suggested that there might be broader interest to talk
> a bit about RDF extracted from tweets, so here we go:
> 
> There are multiple tools and services that convert twitter profiles
> and contacts to RDF (e.g semantictweet[1] or knowee), I think they all
> mostly re-use stuff from FOAF and don't really need new terms.
> 
> But there are also tools that convert individual tweets to RDF
> (I think Tom Morris had code. smesher is another example), or the
> other way round (e.g. SMOB). Streams can nicely be grounded in RSS,
> possibly with an additional sioc:MicroblogPost type, but what about
> the semi-structured data? Should we try to create a shared vocab for
> such in-tweet data (recipient, mentioned people, author-avatar/profile,
> tags, machine tags, short urls, expanded urls, re-tweets, vias,
> embedded Linked Data URIs, groups, DM, ...)?
> 
> I've been playing a bit with in-tweet structures[2] a while ago, but
> so far mainly made up app-specific terms. For a new project, I'm
> extracting ratings and moods (via evolving patterns similar to
> nanoformats [3], twitterdata[4], or simple word lists). I'm again
> making up one-off terms here, too, and could surely benefit from a
> more stable vocab.
> 
> Anyone interested in exploring this a little further? VoCamp near
> Düsseldorf or Amsterdam, maybe? ;)
> 
> Cheers,
> Benji
> 
> 
> [1] http://semantictweet.com/
> [2] http://www.smesher.org/media/2009/02/13/SMR_RDFExtractor.phps
> [3] http://microformats.org/wiki/microblogging-nanoformats
> [4] http://twitterdata.org/
> 
> --
> Benjamin Nowack
> http://bnode.org/
> http://semsol.com/
> 
>

Received on Monday, 28 September 2009 10:41:50 UTC