[iks-community] Learning from existing semantic data sets

[Michael Marth]

Hi all,

here's something that crossed my mind after the Salzburg workshop:

One of the most successful (IMO) semantic data sets seems to be dbpedia[1].
If you look at how dbpedia is authored: it's a scrape of wikipedia, i.e. the
actual user interface is the plain old wiki editor[2].

One might dismiss this approach as a temporary fix to create Linked Data
till we have "real" or better Linked Data editors. But maybe there is more
to learn here, for example that a successful user interface for Linked Data
should use a Data First[3] approach (i.e. let users create content without
having to care about structure) and extract structure later (I am not sure,
just musing about this).

I would like to have a look at other sets of Linked Data that are created
from unstructured content, but most sets on this list [4] seem to be based
on data that was structured beforehand (i.e. some data that already exists
in a structured model and that has been edited in a structured user
interface). Is anybody on this list aware of unstructured data that is
exposed as Linked Data (and which  user interface is used to create it)? I'd
be very interested in links (or other thoughts on this topic).

Cheers
Michael

[1] http://dbpedia.org/About
[2] http://wiki.dbpedia.org/Documentation?v=li9
[3] http://www.betaversion.org/~stefano/linotype/news/93/
[4]
http://esw.w3.org/topic/TaskForces/CommunityProjects/LinkingOpenData/DataSets

-- 
Michael Marth | http://dev.day.com/
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