- From: Alexandre Passant <alexandre.passant@deri.org>
- Date: Mon, 28 Sep 2009 13:39:32 +0100
- To: bnowack@semsol.com
- Cc: Semantic Web <semantic-web@w3.org>
Hi, On 28 Sep 2009, at 10:35, Benjamin Nowack wrote: > > 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 think most of the things can be expressed with current vocabs, but a good starting point will be to list everything and check from here what needs to be done. For instance, for mentioned people, it should be enough to use sioc:topic or other related property and mention that the linked resource is a foaf:person, e.g. :mytweet sioc:topic :alex . :alex a foaf:Person . Author-avatar profile can also be addressed with the sioc:User properties (sioc:avatar) We also discussed the possibility of adding the recipient list in SIOC (e..g for e-mails - can be also used in microblog) several time, might be time to finally add that sioc:recipient in the spec. For Linked Data URIs, we are using a simple sioc:topic property in SMOB (based on hashtags, with patterns such as #db:FooBar to get the http://dbpedia.org/resource/FooBar URI) I guess tags can be represented using CommonTags > > 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? Yep :-) Thanks for bringing the topic on the list, and looking forward to continuing the discussion. Alex. > 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/ > > -- Dr. Alexandre Passant Digital Enterprise Research Institute National University of Ireland, Galway :me owl:sameAs <http://apassant.net/alex> .
Received on Monday, 28 September 2009 12:40:15 UTC