[ckan-discuss] Topic list (vocabulary/valuelist) for classifyingdatasets .

Wed Jun 13 11:34:05 BST 2012

Hi Edo,

I totally agree with you. Eurovoc is a more suitable vocabulary but what 
matters is the possible alignement those vocabularies offer.
For example the term gezondheidszorg 
http://www.eionet.europa.eu/gemet/concept?cp=3866&langcode=nl&ns=1 refers 
to an exact match in Eurovoc, Agrovoc and to a close match to dbpedia.
No one today would use the eurovoc 72 geography category to describe an 
opendata dataset including geolocalised data and the issue we are facing 
in my opinion is the number of thematic entries we offer to the end user : 
too many and we lose them, too little and we might confuse them.

As a response to this issue we could implement a select dropdown that 
offers the subset to the end user but offer him the ability to describe 
its dataset with the top-level of this vocabulary 
That's the way we currently go with our work on Ckan. We could probably 
share some code in that matter, couldn't we ?

Best,
Pascal Romain
Chef de projet informatique documentaire
Service Projets Etudes Conseils
Direction des Systèmes d'Information
05 56 99 33 33 poste 6643
@datalocale

De :    "Plantinga, Edo" <Edo.Plantinga at koop.wmrijk.nl>
A :     <ckan-discuss at lists.okfn.org>
Date :  13/06/2012 12:15
Objet : Re: [ckan-discuss] Topic list (vocabulary/valuelist) for 
classifyingdatasets .
Envoyé par :    ckan-discuss-bounces at lists.okfn.org

Hi Pascal,

Thank you for your swift response. 
Looking at the GEMET vocabulary, it seems to be limited to geographic
datasets. Naturally, many open datasets are geographic datasets.
However, there are also many datasets outside this domain. How would you
classify the datasets on the EU portal that are now under the current
categories Finance and Budgeting, Education and Communication, Economy
and Industry, Social Questions 
Population & Health? The GEMET vocabulary does not seem to be suitable
for this. 
A subset of the EUROVOC (while still not perfect, looking at the
datasets we have), seems to be a better fit for datasets outside the geo
domain, in my opinion. I can see a fairly big overlap between the
current EU portal topics and the EUROVOC topics, by the way.

These are the EUROVOC categories I am referring to, to avoid confusion.
 04 POLITICS  08 INTERNATIONAL RELATIONS  10 EUROPEAN COMMUNITIES  12
LAW  16 ECONOMICS  20 TRADE  24 FINANCE  28 SOCIAL QUESTIONS  32
EDUCATION AND COMMUNICATIONS  36 SCIENCE  40 BUSINESS AND COMPETITION
44 EMPLOYMENT AND WORKING CONDITIONS  48 TRANSPORT  52 ENVIRONMENT  56
AGRICULTURE, FORESTRY AND FISHERIES  60 AGRI-FOODSTUFFS  64 PRODUCTION,
TECHNOLOGY AND RESEARCH  66 ENERGY  68 INDUSTRY  72 GEOGRAPHY  76
INTERNATIONAL ORGANISATIONS 

The advantage of EUROVOC is that there are subcategories that can be
used for classifying datasets that do not fall into an obvious category.
For example: under what category should a hospital quality dataset fall?
Searching on 'Hospital' on the EUROVOC site gives a search result of
health policies of "MT 2841 HEALTH", so according to EUROVOC this falls
under "28 SOCIAL QUESTIONS". Still not perfect, but hey, no
catagorization system will be.

I'd be interested to hear your take on this.

Best regards,

Edo Plantinga - Data.overheid.nl
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