Sorry for the x-post

Hi Sarven,

I noticed you used GeoNames for the "Australian Bureau of Statistics Linked 
Data" hack mentioned below.  GeoNames does much useful work ... but everyone in 
the Linked Data business could use a little help.

Domains - in theory, the countries of the world are a group of (federalized 
data set of ...) (groups of) Court Houses, Jurisdictions, keyed with two and 
three letter acronyms (ISO 3166).  This set for all practical purposes is a 
Unicode Code Page, but instead of (16x4)=256 members there are (169x4)=676 
Latin Alphabet Capital Letters.  Statistical metrics at the domain level are 
manipulated with Linear Algebra and Linear Programming. Diacritics (Côte 
d'Ivoire) or alternate forms (Ivory Coast) do nothing semantically useful, the 
acronym is the leveler.

So, I rewrote the GeoName table (http://www.geonames.org/countries/) to be:
1) Unicode compliant for XML (HTML entities are HEX escaped)
2) The Geo's, Country Profiles, whatever are local links.  I left those as is 
and included/matched the MARC System / US Library of Congress Linked Data 
Service URI's (http://id.loc.gov/vocabulary/countries.html).
3) Finally, I used an SQL RDB to do an Outer Join on the Code Set - all 676 
possibilities.  Adding a three character code "synonym" does not increase the 
code page size.  It is then possible to split this "registry" into lists of 
codes 1) Present, 2) Missing and 3) "Slack" (in the Linear Programming usage).
4) Put the files in (FODS - (Flat XML) Open Document Spreadsheets format) so 
that European Civil Servants can not whine about data quality (got your back, 
DERI, you too ABS).

http://www.rustprivacy.org/2014/balance/gts/geonames_domains.zip

Unfortunately, when RDF Lists of Place Names are filtered through previously 
written applications the result is often unhelpful additions, however these 
steps should ameliorate the problem significantly.

--Gannon





--------------------------------------------
On Mon, 8/11/14, Sarven Capadisli <[email protected]> wrote:

 Subject: Re: Linked SDMX Data
 To: [email protected]
 Date: Monday, August 11, 2014, 7:20 AM
 
 On 2014-08-05 12:08,
 Sarven Capadisli wrote:
 > On 2014-04-23
 15:31, Sarven Capadisli wrote:
 >> On
 2014-04-22 14:18, Sarven Capadisli wrote:
 >>> On 2013-08-08 15:17, Sarven
 Capadisli wrote:
 >>>> On
 03/08/2013 01:04 PM, Sarven Capadisli wrote:
 >>>>> On 02/15/2013 02:42 PM,
 Sarven Capadisli wrote:
 >>>>>> Ahoy hoy,
 >>>>>>
 >>>>>> OECD Linked Data:
 >>>>>> http://oecd.270a.info/
 >>>>>>
 >>>>>> BFS Linked Data:
 >>>>>> http://bfs.270a.info/
 >>>>>>
 >>>>>> FAO Linked Data:
 >>>>>> http://fao.270a.info/
 >>>>>>
 >>>>>> Linked SDMX Data:
 >>>>>> http://csarven.ca/linked-sdmx-data
 >>>>>
 >>>>> ECB Linked Data:
 >>>>> http://ecb.270a.info/
 >>>>
 >>>> IMF Linked Data:
 >>>> http://imf.270a.info/
 >>>
 >>> UIS
 Linked Data:
 >>> http://uis.270a.info/
 >>
 >> FRB Linked
 Data:
 >> http://frb.270a.info/
 >
 > BIS Linked Data:
 > http://bis.270a.info/
 
 ABS Linked Data:
 http://abs.270a.info/
 
 -Sarven
 http://csarven.ca/#i


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