Re: CF ontology

Dear Simon

I download one file called  schema QUDT V2

but the QUDT v2 does not seems to be cleaned.

I have some classes name errorX...

And the URI are not published as LOD 

If I put the URL http://qudt.org/2.0/schema/qudt in web  browser  I have an error 404

so I will not be able to use this version of unit ontology.

The good news

I like the skos vocabulary that define weather property http://vocab.nerc.ac.uk/collection/P07/current/

we will use it and link it directly to our data without created a new ontology. Let see if it generate error due to sosa constraints.

This type of vocabulary provide the reference ID (URI) that is usefull to query and retrieve dataset .

The trouble is that it defined only property and no feature of interest.

So we have two possibilities :

1) this type of property is sufficient to identify the feature of interest for a human. So we  supress all mention of feature of interest (like wind or precipitation)

2) find another wovabulary that provide generic URI to identify feature of interest like the SWEET ontology. But maybe for a expert SWEET is not precise enought there is a real gap between the vocabulary of vocab.nerc.ac.uk and SWEET.

 

For the moment we will choose the simplest way: solution 1. It means that our description will be really plain and simple compare to our previous dataset based on SSN and Laurent Lefort works.

we have still some problem about unit.

Best regards

Catherine

 





 

Le 05/09/2017 à 02:53, Simon.Cox@csiro.au <mailto:Simon.Cox@csiro.au>  a écrit :

Yes – credit to Laurent for the work done in 2009-11 in the context of SSNX. 

Progress has been intermittent since then, but we know that CF is updated regularly. 

 

As far as UOM are concerned, this NIST project is moving to (finally!) get QUDT v2 published as linked data: https://units.unf.edu/ 

 

Simon 

 

From: Catherine Roussey [mailto:catherine.roussey@irstea.fr] 
Sent: Tuesday, 5 September, 2017 00:18
To: Cox, Simon (L&W, Clayton)  <mailto:Simon.Cox@csiro.au> <Simon.Cox@csiro.au>; maxime.lefrancois@emse.fr <mailto:maxime.lefrancois@emse.fr> ; public-sdw-wg@w3.org <mailto:public-sdw-wg@w3.org> 
Cc: francois.pinet@irstea.fr <mailto:francois.pinet@irstea.fr> ; Stephan Bernard  <mailto:stephan.bernard@irstea.fr> <stephan.bernard@irstea.fr>
Subject: 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 <mailto: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





-- 
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