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Observations and Measurement - draft

From: Luis Bermudez <lbermudez@opengeospatial.org>
Date: Thu, 1 Mar 2012 11:10:14 -0500
Message-Id: <33101DB6-D539-4D99-BEEE-0B81B3D0B384@opengeospatial.org>
Cc: <public-gld-wg@w3.org>
To: Benedikt Kämpgen <kaempgen@fzi.de>
All,

Comments about Observations and Measurement related to:

- Section: Publishing Statistical Data
- http://www.w3.org/2011/gld/track/issues/32
- @@TODO: Are there any statements about compatibility and interoperability between O&M and Data Cube that can be made to give guidance to such organizations?

Suggest to use Observations and Measurements (OM) model.

An Observation is an event whose result is an estimate of the value of some property of a feature of interest, obtained using a specified procedure.

An Observation has essentially the following parts:

Procedure: e.g. person, sensor, observatory, model, macro.
Property: e.g. temperature, color, weight.
Feature of Interest: e.g. body, world, Washington DC, banana, specimen 123, Monterey Bay.
Result: The actual value. Includes categories and quantities results, time series, multimedia (video, audio), one single value, a file, etc.

So in the figure: "Modeling quantity, measurement, observation" we can do the following:

Add Procedure, Result, Feature of Interest and Property
Model Person as a type of Procedure
Remove Measurement
Category and Quantity are subclass of result.
Phenomenon Type is same as Property


Luis
-------------
Luis Bermudez
lbermudez@opengeospatial.org  
+1 (301) 760-7323 

The OGC: Making Location Count...
http://www.opengeospatial.org/contact




On Feb 22, 2012, at 11:38 AM, Benedikt Kämpgen wrote:

> Hello,
> 
> We have further refined the Data Cube use cases and copied the content from
> the wiki into an Editor's Draft for "Use Cases and Requirements for the Data
> Cube Vocabulary" [1].
> 
> Feedback of any kind would be well appreciated.
> 
> Best,
> 
> Benedikt
> 
> [1] <http://dvcs.w3.org/hg/gld/raw-file/default/data-cube-ucr/index.html> 
> 
> 
> 
> -- 
> AIFB, Karlsruhe Institute of Technology (KIT)
> Phone: +49 721 608-47946 
> Email: benedikt.kaempgen@kit.edu
> Web: http://www.aifb.kit.edu/web/Hauptseite/en 
> 
> 
> 
> 
> 
Received on Friday, 2 March 2012 22:13:36 UTC

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