sosa Ontology example

Dear all

I do not know if you receive my previous email inform you that we can 
not do the translation of our weather dataset from ssn to sosa For the 8 
of august.

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

the sparqlendpoint ishttp://ontology.irstea.fr/weather/snorql/

Now we are in the process of studying the sosa ontology in order to 
create a new dataset about weather data.


We face some trouble related to the cardinality constraint put on 
hasFeatureOfInteret  and hasSample properties.

A weather Station is able to study several climatic phenomenon wind, 
precipitation, air  etc...

We reuse the climate and forecast vocabulary that defines all features 
of interest (wind, precipitation) and their associated properties (wind 
speed, wind direction, etc...). Thanks to this reference ontology all 
our weather station located at different point in France could be 
classified automatically depending of the  feature of interest 
observed.  Thanks to this weather ontology we could query all our 
dataset to find all the observation associated to a specific property 
like (wind speed)


If I understand well,

we should create a sample that represent the weather station. This 
sample will established the location of the weather station and also the 
high of the weather station. For example a weather station in 
agriculture domain should be as high as a crop culture (the high should 
be less than 1.5 meter). A weather station for airplane or other domain 
should be fixed at different high.

So we like the precision of the sample. The problem is that the weather 
station sample is a sample for several features of interets (wind, 
precipitation etc...) So why do you put a constraint cardinality between 
sosa:Sample and FeatureOfInterest.

In your example of spatial phenomenon the proposed sample is associated 
to a location. For each sample we have to redefine the property (create 
a new uri and not reuse a generic uri like climate and forecast 
windspeed) see example 17 in sosa. It means that we could not query 
uniformally all our weather station in France to get all the observation 
related  to windSpeed property.


What we would like is to be able to associated a each observation (and 
each sensor) the generic feature of interest (provided by climate and 
forecast ontology) and also a sample. The associated property of the 
generic feature of interest and the sample could be linked. For example 
we could generate automatically the uri of the sample property based on 
the property of the generic feature of interest.

The precision of the sample will be useful for weather expert that have 
to propose weather forecast  model. As mention earlier the high is 
important for prediction.

the generic feature of interest will be useful for farmers and to 
provide generic query to retrieve data from dataset related to a same 
domain (climate, crop, soil etc...).



Best Regards

Catherine and Stephan



-- 
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

Received on Tuesday, 22 August 2017 16:17:47 UTC