To: | <ontology-based-standards@xxxxxxxxxxxxxxxx>, <ontolog-forum@xxxxxxxxxxxxxxxx> |
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From: | <Simon.Cox@xxxxxxxx> |
Date: | 2013年10月17日 22:19:35 +0000 |
Message-id: | <2A7346E8D9F62D4CA8D78387173A054A5FF2CE98@xxxxxxxxxxxxxxxxxxxxxxxxxx> |
Absolutely. There will often be multiple features-of-interest.
You have to start by asking ‘what type of feature has X as a property, where X is crocodile concentration, depth, temperature, etc.
The type of the feature-of-interest has to be commensurate with the observed property.
But the observed property may be a proxy for, or only the first step on the route towards, the ultimate property of interest.
That’s why Sampling Features are important. The proximate feature of interest is not necessarily the ultimate feature of interest.
The proximate feature is the sampling feature. It may be a sub-sample of the ultimate feature of interest because exhaustive sampling is undesirable or impossible. Or it may be a proxy for the ultimate feature of interest because direct observation is not possible.
Simon
From: ontology-based-standards-bounces@xxxxxxxxxxxxxxxx [mailto:ontology-based-standards-bounces@xxxxxxxxxxxxxxxx]
On Behalf Of Gary Berg-Cross
Sent: Friday, 18 October 2013 9:11 AM
To: ontology-based-standards; [ontolog-forum]
Subject: Re: [ontology-based-standards] small follow-up on RE: "Ontology-based Standards" mini-series session-5 - Ontologies for Geospatial Standards - Thu 2013年10月17日
Simon
Thanks for this follow up to today's session on GeoSpatial Ontologies.
Crocs seem to have grabbed our attention as a feature-of-interest (FOI) themselves. I actually imaged the situation a bit.
I may have to deal with data that comes from observations of the water body (as the FOI) and so have observed properties of water temp, croc density etc, - all the key ones. These croc observations may come from sensors on the crocs and so I get croc temps as properties too since they are now the FOI, but from those samples from croc sensors I'm probably calculating the croc density too. So the same sensor (with some aggregation) provides data to 2 features of interest - the same sensor serves 2 FOIs.
Gary Berg-Cross, Ph.D.
NSF INTEROP Project
SOCoP Executive Secretary
Knowledge Strategies
Potomac, MD
240-426-0770
On Thu, Oct 17, 2013 at 5:39 PM, <Simon.Cox@xxxxxxxx> wrote:
Re the discussion about water/crocodiles/water bodies etc:
This issue is partly accommodated by the O&M model, where the 'feature-of-interest' (e.g. a specific water body) is distinguished from the 'observed-property' (concentration of crocodiles) (and also from the procedure or sensor).
This in turn is a corollary of the underlying 'feature model' which, like pretty much all of the meta-models we are using including OWL, distinguishes between classes/objects and properties/property-values.
There is an issue that many vocabularies of 'observed properties' conflate these concerns, so in standard water property vocabularies we see entries like:
'concentration of crocodiles in a water body measured using a fooglemeter averaged over 3-day intervals and expressed as a number scaled by the unit-of-measure "bites"'.
But the analysis is established in O&M since many years now.
Simon
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