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Observations Workshop 2007 Session 1

Difference between version 10 and version 9:

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- Are there ways to "add" domain-specific extension ontologies to the core?
+ Are there ways to "add" domain-specific extension to the core definition of an "observation"?
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- clarify subsumption (more/less general) and other (part_of, constituted_of) relationships among terms
- necessary "components" of an observation; necessary & sufficient?
+ And aside from synonymies, also clarify subsumption (more/less general) and other (part_of, constituted_of) relationships among terms in the various models? Can we identify necessary "components" of the various models for observation (e.g., are space and time information explicitly necessary?); necessary & sufficient (is it sufficient to simply have some measured value of some property of an entity?
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- 3) Need unambiguous definitions of Keywords* (currently massive overloading)
+ 3) Need unambiguous definitions of Keywords* (currently massive overloading on many of those listed below...)
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- 4) Is the assertion of some specific entity type (rock, crow) best accomplished as a special form of measurement (attribute=NAME)
- Identifying vs non-identifying names
- presence/absence measurements-- are these (ontologically) different from say, measuring mass of a specimen?
+ 4) Is modeling the assertion of some specific ("named") entity type (e.g., rock, crow) best considered as a special form of measurement (attribute type=NAME)
+ Identifying vs non-identifying names (e.g., Corvus corax vs "Plot A")
+ presence/absence measurements-- do these need to be treated (ontologically) different from say, measuring mass of a specimen?
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- counts (is a property of set of individuals)-- does this create problems with the model?
+ counts (is a property of set of individuals)-- how does observation model accomodate this type of measurement?
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- 5) Do "where" and "when" pertain globally and consistently to any type of observation of interest, or are these also types of observation
+ 5) Do "where" and "when" information pertain globally and consistently to any type of observation of interest, or are these also types of observations that can provide context for other observations?
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- 6) Is there ability within the Observation model, to inter-relate observations to "construct" composite or emergent entities, processes or phenomena?
+ 6) Is there ability within the Observation model, to inter-relate observations to "construct" composite and emergent entities, processes or phenomena?
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- 7) How can ontology/model be applied? Must data be ingested into framework implementing the model, or can model(s) be applied to data (e.g., via annotation)
+ 7) How can ontology/model be deployed in terms of real useful applications? Must data be ingested into a framework implementing the model, or can the model(s) be applied to data (e.g., via annotation)

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