Unitsml also at oasis is reaching for a comprehensive solution to all physical measurements.
(fumble typed on my phone - please forgive mispellings and the occasional bad autocorrect)
On Mar 10, 2011 10:32 AM, "Adam Pease" <
adampease@xxxxxxxxxxxxx> wrote:
> Hi Eric,
> SUMO has a comprehensive ontology of weights and measures.
>
http://sigma.ontologyportal.org:4010/sigma/Browse.jsp?kb=SUMO&lang=EnglishLanguage&flang=SUO-KIF&term=UnitOfMeasure
> Colors
>
http://sigma.ontologyportal.org:4010/sigma/Browse.jsp?lang=EnglishLanguage&flang=SUO-KIF&kb=SUMO&term=ColorAttribute
> Ranges are typically specified with new relations that have axioms
> stating limits in some context, for example "maximum payload capacity"
>
http://sigma.ontologyportal.org:4010/sigma/Browse.jsp?lang=EnglishLanguage&flang=SUO-KIF&kb=SUMO&term=maximumPayloadCapacity
> Qualitative assessments are usually accomplished by defining discrete
> attributes, which can then be ordered with the relation "successor
> attribute"
>
http://sigma.ontologyportal.org:4010/sigma/Browse.jsp?lang=EnglishLanguage&flang=SUO-KIF&kb=SUMO&term=successorAttribute
>
> I'd be glad to provide more detail.
>
> Adam
>
>
> On Thu, 2011年03月10日 at 17:32 +0100, Erick Antezana wrote:
>> Dear ontolog-ers,
>>
>> I got the mission of building an (application?) ontology that will
>> hold terms/concepts related to the measurement output of some
>> biological experiments and analyses. Thus, I am wondering if there are
>> already any effort that specifically captures concepts related to
>> scales (e.g. "length", "weight") and/or enumerations (e.g. "colour"
>> such as red, green, blue), which in turn would be "connected" to
>> another ontology of units (which has terms such as centimeter,
>> Celsius, Kg, etc...). Moreover, I am wondering whether such ontologies
>> (if exists) capture "natural" data ranges such as 0 - 100 in the case
>> of dealing with a percentage rating, or arbitrary ranges (e.g. 0-10),
>> or min and max values... Typically, our final users assign a value to
>> an observed feature, in some cases with the assistance of a machine or
>> instrument (e.g. penetrometer ) and in other cases based on a pattern
>> (colours from a palette having a defined set thereof); and finally, in
>> other cases, they assign a value based on a simple (subjective) visual
>> rating (e.g. a number from a range going from 0-10 to evaluate the
>> ripening of a fruit or its coarseness where 0=worst, 5=good, 10=best).
>>
>> any pointer would be very appreciated,
>> Erick
>>
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