Re: CF ontology

Dear all

I would like just to point out the huge work of Laurent Lefort during the creation of SSN

he has created a network of ontology for weather station:

1)climate and forecast ontology

2) unit ontology

3) weather sensor ontology (aws): an ontology that describe the sensor based on climate and forecast ontology and also the unit ontology. a sensor is described by the property it observes and the type of measure it can provide.

as far as I understand we have to recreate also this ontology to be compliant with the new climate and forecast ontology.

Which dataset that store different unit  are uptodate?

could we reuse the unit ontology of ssn?

Best

Catherine

 

 

Le 31/08/2017 à 06:57, Simon.Cox@csiro.au <mailto:Simon.Cox@csiro.au>  a écrit :

Hi Maxime – 

 

I forwarded this to colleagues who work on the CF conventions. They pointed out that the CF vocabulary is updated regularly – the version you have used is quite old. 

 

This SKOS representation is always current http://vocab.nerc.ac.uk/collection/P07/current/ but you’d need to re-apply Jonathan Gregory’s rules to get to the same place. 

The NVS has a SPARQL endpoint here: http://vocab.nerc.ac.uk/sparql/ 

I use this query to get a summary of the current state: https://goo.gl/m8ZSi2 

Note that P01 has nearly 38k concepts – combinatorial effect. 

 

Simon 

 

 

From: Maxime Lefrançois [mailto:maxime.lefrancois@emse.fr] 
Sent: Wednesday, 30 August, 2017 03:46
To: Catherine Roussey  <mailto:catherine.roussey@irstea.fr> <catherine.roussey@irstea.fr>; public-sdw-wg@w3.org <mailto:public-sdw-wg@w3.org> 
Cc: François Pinet  <mailto:francois.pinet@irstea.fr> <francois.pinet@irstea.fr>
Subject: Re: datasets with the new SSN ontology

 

Dear Catherine, 

 

I just created a new module in SEAS that is automatically built from the climate and forecast ontology. You can leverage this module to translate your dataset to the new version of SSN in the future.

 

The SEAS Climate and Forecast (CF) features Ontology https://w3id.org/seas/ClimateAndForecastOntology has been generated automatically from the climate and forecast ontology http://purl.oclc.org/NET/ssnx/cf/cf-feature by applying the following two SPARQL-Generate rules:

 

Until it's online, you can fetch this new module at https://github.com/thesmartenergy/seas/raw/master/src/main/ontop/1.0/ClimateAndForecastOntology-1.0.ttl 

 

Be aware that this ontology makes the Specific Instances of ssn:Property assumption: no more than one feature of interest per property.

 

It has been generated automatically with the two SPARQL-Generate rules attached (see http://ci.emse.fr/sparql-generate/ ) 

 

Best,

Maxime Lefrançois

 

 

Le jeu. 17 août 2017 à 10:20, Catherine Roussey <catherine.roussey@irstea.fr> a écrit :

Dear all


I have received the demand from Armin Haller about our usage of SSN.

About the old version of ssn our datasets is available at
http://ontology.irstea.fr/pmwiki.php/Site/WeatherData

the sparqlendpoint is http://ontology.irstea.fr/weather/snorql/

We can not do a translation of this datasets from the 8 of august. The
ingenier in charge of the dataset is on vacation for the whole august month.

And I do not know yet if he will be available in september to do this
translation.

Note that our dataset is based on climate and forcast ontology
https://www.w3.org/2005/Incubator/ssn/ssnx/cf/cf-feature#Precipitation

If this ontology is not available in the new version of ssn we can not
do nothing.

Best Regards

Catherine Roussey


--
Catherine ROUSSEY
Irstea Clermont Ferrand
Campus des Cézeaux
9 avenue Blaise Pascal
CS 200 85
63178 Aubière
tel: 33 (0)4 73 44 06 88 <tel:04%2073%2044%2006%2088> 
"Imprefection si beauty, madness is genious and it's better to be absolutely ridiculous than aboslutely boring" Maryline Monroe










-- 
Catherine ROUSSEY
Irstea Clermont Ferrand
Campus des Cézeaux
9 avenue Blaise Pascal
CS 200 85
63178 Aubière
tel: 33 (0)4 73 44 06 88
"Imprefection si beauty, madness is genious and it's better to be absolutely ridiculous than aboslutely boring" Maryline Monroe