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Re: Classification of open datasets...

From: Martin Kaltenböck <m.kaltenboeck@semantic-web.at>
Date: Mon, 4 Mar 2013 18:12:47 +0100 (CET)
To: Phil Archer <phila@w3.org>
Cc: Bernadette Hyland <bhyland@3roundstones.com>, Fadi Maali <fadi.maali@deri.org>, John Erickson <olyerickson@gmail.com>, W3C public GLD WG WG <public-gld-wg@w3.org>
Message-ID: <758667083.1470069.1362417167157.JavaMail.root@semantic-web.at>
Hi Phil, all

also would like to jump in here - I do NOT believe either that we will find 
a taxonomy et al that the whole world will use to categorise / to classify 
open data sets globally - e.g. in Austria we have specified 14 categories that were already used
in eGovernment here in Austria (before we started open data) - see: http://reference.e-government.gv.at/uploads/media/OGD-Metadaten_2_1_2012_10.pdf
(Page 27 - document is in German language but these categories are also translated to EN language)
- we also tried a first mapping to publicdata..eu as well as EN ISO 19115

Also Eurovoc (or the mentioned NACE codes) are interesting approaches - 
but cover only a part of the whole picture...

Also (E)government in e.g. Austria works differently then in e.g. Czech Republic 
and our classification schemes are different - and we do have different languages,...

AND: in a time of Linked (Open) Data it is good to re-use an existing classification scheme 
(e.g. Eurovoc as a starting point in EU is great for sure, as it is already in use and also already translated)
BUT: if someone does NOT use such a common 'list of categories' or has the need to expand his categorisation system 
then we can link our approaches (making use of LOD principles) and thereby align our 'terminologies = classification schemes' 
and thereby we are able to understand each other again (means: the machines understand our several classification schemes ;)...

Such an alignment is (hard) work for sure - but worth doing - so that for example US open data sets
can be easily found and compared with UK data sets, Austrian data sets etc.....

We here at SWC have started to build a small open data SKOS Thesaurus some time ago that is / can be linked to
other thesauri / taxonomies easily - see: http://vocabulary.semantic-web.at/OpenData.html
(Also published using ADMS: http://vocabulary.semantic-web.at/OpenData/adms/0.3)

This is only a demo (only a few concepts in it and some links to DBpedia established) - 
but it shows the principle and could (when built properly) be a good basis for categorisation / tagging of open data sets...

Maybe this helps the discussion - cheers - martin

--
Martin Kaltenböck, CMC
Managing Partner, CFO

Semantic Web Company (SWC)
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A - 1070 Vienna, Austria
Tel +43 1 402 12 35 - 25
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EDF2013, 09-10 April2013, Dublin - http://2013.data-forum.eu/





----- Original Message -----
From: "Phil Archer" <phila@w3.org>
To: "Bernadette Hyland" <bhyland@3roundstones.com>
Cc: "Fadi Maali" <fadi.maali@deri.org>, "John Erickson" <olyerickson@gmail.com>, "W3C public GLD WG WG" <public-gld-wg@w3.org>
Sent: Monday, 4 March, 2013 5:36:25 PM
Subject: Re: Fwd: Classification of open datasets...

I pitched in with a small comment. I've seen the thread and thought 
"must thread that" - and now I have. DCAT etc. is not really what 
Peter's after - it's values for dcterms:subject I think. The concepts 
around vocab profiles is something I'm looking at in the context of 
possible work items for a successor WG. So what I'm looking for now is 
possible community interest, background info etc.

P

On 04/03/2013 15:34, Bernadette Hyland wrote:
> Hi Fadi, John & Phil,
> There is a detailed thread that Peter Krantz kicked off about open data set vocabularies on Friday (1-Mar).  It was sent to the euopendata@lists.okfn.org and public-egov-ig@w3.org list and not the public gld working group list (unfortunately).
>
> I encourage you to look at the thread in its entirety as people from EU & US are weighing on with a variety of answers and this is near & dear to the charter of the GLD WG.  Unfortunately, people have omitted the entire thread when responding but I'll forward some responses FYR.
>
> Great example of where relevant guidance is required in context of what people are using today open data initiatives and describing gov't data sets.
>
> Phi, Deirdre, Martin  -- This would be great material for a talk at the European Data Forum and/or Open Data on the Web workshop, both in April.  Just saying ...
>
>
> Cheers,
>
> Bernadette Hyland, co-chair
> W3C Government Linked Data Working Group
> Charter: http://www.w3.org/2011/gld/
>
> Begin forwarded message:
>
>> Resent-From: public-egov-ig@w3.org
>> From: "koumenides c.l. (clk1v07)" <clk1v07@ecs.soton.ac.uk>
>> Subject: RE: Classification of open datasets...
>> Date: March 1, 2013 5:25:18 AM EST
>> To: Peter Krantz <peter@peterkrantz.se>, "euopendata@lists.okfn.org" <euopendata@lists.okfn.org>, public-egov-ig <public-egov-ig@w3.org>
>>
>> Hi
>>
>> I suppose W3C's DCAT would be a candidate in this case. http://www.w3.org/TR/vocab-dcat/
>>
>> Regards,
>>
>> Christos
>> ________________________________________
>> From: Peter Krantz [peter@peterkrantz.se]
>> Sent: 01 March 2013 09:32
>> To: euopendata@lists.okfn.org; public-egov-ig
>> Subject: Classification of open datasets...
>>
>> Hi!
>>
>> Many countries are developing national portals with metadata about
>> open datasets from the public sector. To make datasets easier to find
>> and to lower the threshold for pan-european (or global) re-use it
>> would be great if classification of datasets followed a shared
>> taxonomy.
>>
>> There are many candidates that could be used, e.g. Eurovoc [1], NACE
>> [2]. I would be grateful for any pointers if there is work going on to
>> harmonize classification of datasets on a global or European level.
>>
>> Regards,
>>
>> Peter Krantz
>> http://www.peterkrantz.com
>> @peterkz_swe
>>
>> [1]: http://eurovoc.europa.eu/ - availabble as LOD
>> [2]: http://ec.europa.eu/competition/mergers/cases/index/nace_all.html
>>
>
>

-- 

Phil Archer
W3C eGovernment

http://philarcher.org
+44 (0)7887 767755
@philarcher1
Received on Monday, 4 March 2013 17:13:15 UTC

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