Re: Semantic Bleachers: was Re: Afghanistan War Diary as topic map in Maiana

Lars Heuer <[email protected]>
Newsgroups gmane.text.xml.xtm.general
Organization Semagia
Message-ID <[email protected]>
Hi Patrick,

[Mappish view on DBpedia]
> Ok, so are you suggesting a refinement of the mapping to topic map
> syntax as the next step?

No, you asked for public Topic Maps projects and I suggested DBpedia.
That's all. This discussion is a bit twisted. My initial statement was
and still is: The initial Afghanistan War Diary topic map is a poor
one.

I am not saying that translating the Afghanistan War Diary wouldn't be
a Good Thing, I just answered your call for public Topic Maps
projects. Projects which may be driven by a community where nobody has
time or the knowledge to do something right. As said, translating
DBpedia to Topic Maps is simple.

> I agree there is a low barrier but I am unclear what you are suggesting
> as the next step in having a "mappish" view.

> For example, I was looking at some of the downloadable data sets and saw
> the preview on disambiguation.
> http://downloads.dbpedia.org/preview.php?file=3.5.1_sl_en_sl_disambiguations_en.nt.bz2

> The way I would describe the first 15 uses of Austin would be to say the
> subject has a property with the value "geographic-name," a property with
> the value "Austin," for the US names I would add zip code sets as
> properties, etc.

Maybe you're looking at the wrong source. DBpedia translates also the
Wikipedia disambiguation pages into triples. That's true. It simply
says that the "Austin" may refer to a city in Texas and Arkansas etc.

Each of these "Austin" subjects have their own IRI, of course.

> Actually for all US locations I would add zip code sets as alternative
> identifiers, which will tie in a lot of US government data.

That's also provided by DBpedia. The "disambiguations" dataset simply
converts pages like
<https://secure.wikimedia.org/wikipedia/en/wiki/Austin_%28disambiguation%29>
into triples.

That may be useful or not that useful.

[...]
> PS: I think assigning properties to subjects and then saying on what
> basis we think they are the same as other subjects avoids the pitfalls
> of the OWL sameAs which has no properties nor any way for a user to
> indicate on what basis they claimed "sameAs."

Sure, but if you're referring to the

      <http://dbpedia.org/resource/Alien> <http://dbpedia.org/property/disambiguates> <http://dbpedia.org/resource/Alien_Sun>

triples, you're wrong. DBpedia does not say "Alien" owl:sameAs "Alien
Sun" they invented a property to say that the resource wp:Alien refers
to wp:Alien_Sun and a few other resources.

> PPS: Is this the sort of discussion of "mapness" that you were
> seeking?  

Mapness would: Less dead ends, more associations.

Simple example: If I convert my daily newspaper into a PDF and create
from each paper a topic map like

    newspaper-2010-11-01
       date: 2010-11-01;
       content: <http://example.org/newspaper-2010-11-01.pdf>.

I've won almost nothing. Yes, I can search for newspapers which were
issued at 2010-11-01 but the all the interesting things like articles,
the authors, the subjects etc. are hidden in the occurrence.
This would be a poor example of a topic map.

Best regards,
Lars
-- 
Semagia 
<http://www.semagia.com>

<http://www.topicmaps.de/mailinglist/> German Topic Maps mailing list
<http://tinytim.sourceforge.net/> Open Source Topic Maps engine
<http://mappa.semagia.com/> Mappa - Python Topic Maps engine
lmpx.com only provides a reader for public news (NNTP) servers. It is not affiliated with the servers or forums shown here and is not responsible for the content of articles, which is written by their respective authors.