Dear Roy,
thanks a lot for this nice example of true interoperability. Yet, two
questions remain: 1) what I would be even more interested in is the inverse
problem, i.e. given a standard_name, I would like to know which compound it
contains. 2) I expect that this is more difficult, in particular if we don't
know a priori that the given standard_name does contain a compound name.
Generally, this is where I see the difficulty with your brokered approach: how
do you find out which controlled vocabulary list(s) have to be applied in order
to identify the components of a standard_name? Think of
"tendency_of_X_due_to_emissions_from_Y" where you want to link both the
compound and the emission sector to the respecitve controlled vocabulary table.
Then, in another standard_name you will find some marine bacteria or so which
relate to yet another vocabulary list, and so on. Unless I miss the point here,
I would still argue that it will be more efficient and less ambiguous if the
link would be provided in the standard_name table itself.
What do you think?
Cheers,
Martin
Date: Fri, 19 Oct 2012 12:30:42 +0100
From: "Lowry, Roy K." <[email protected]<mailto:[email protected]>>
To: "[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Subject: [CF-metadata] Extensions to the Standard Name table
Message-ID:
<40829b0e077c1145a6de44d39b3830a921f5722...@nerckwmb1.ad.nerc.ac.uk<mailto:40829b0e077c1145a6de44d39b3830a921f5722...@nerckwmb1.ad.nerc.ac.uk>>
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Dear All,
Martin Schultz was proposing an extension to the Standard Name table to provide
a means of easily identifying the Standard Names associated with a given
atmospheric contaminant. What follows provides an alternative way to address
his use case. Go to the URL http://vocab.nerc.ac.uk/sparql/ and copy the
SPARQL query at the end of this message into the box, choose your output format
and press 'Get Results'. If you don't want 'carbon monoxide' simply replace
'Carbon monoxide' by another valid EEA contaminant name.
For the techies on the list, this is done by a federated SPARQL query involving
SPARQL endpoints on vocabulary servers at BODC and the EEA. This is based on
string matching, but could be made more robust by implementing an EEA/Standard
Names mapping in NVS should this be requested by the CF community.
Cheers, Roy.
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX j.0: <http://rdfdata.eionet.europa.eu/airbase/schema/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?urie ?labele ?urin ?labeln WHERE {
BIND("Carbon monoxide" AS ?pollutant)
SERVICE<http://cr.eionet.europa.eu/sparql>
{
?urie skos:inScheme
<http://rdfdata.eionet.europa.eu/airquality/components/>.
?urie skos:prefLabel ?labele.
?urie j.0:pollutant ?pollutant.
}.
<http://vocab.nerc.ac.uk/collection/P07/current/> skos:member ?urin.
?urin skos:prefLabel ?labeln.
?urin skos:definition ?defn.
FILTER CONTAINS (str(lcase(?defn)),str(lcase(?pollutant)))
}
PD Dr. Martin G. Schultz
IEK-8, Forschungszentrum Jülich
D-52425 Jülich
Ph: +49 2461 61 2831
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52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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