Quantity "tables"
Tony Linde
ael at star.le.ac.uk
Thu Jan 22 13:00:34 PST 2004
Sounds good to me, Doug. Will it be finished by next week so we can ratify
it at the exec? :)
T.
> -----Original Message-----
> From: Doug Tody [mailto:dtody at nrao.edu]
> Sent: 22 January 2004 20:50
> To: Tony Linde
> Cc: dm at ivoa.net
> Subject: RE: Quantity "tables"
>
>
> > Your example is fascinating but I wonder if someone else
> approaching
> > the same set of data would create the same hierarchical
> structure: ie,
> > how easy is it going to be to get all astronomers to agree
> on the one
> > hierarchical structure for the representation of astronomical data.
> > Maybe we need to define all the primitives - quantity, ucd, unit,
> > instrument, etc - and some of the most common and agreed simple
> > structures like position and then come up with the ability for
> > astronomers, data centre managers, developers to combine these into
> > appropriate hierarchies for representing metadata. Using the same
> > primitives will at least allow interpretation of results
> even if they
> > exist in unfamiliar structures.
>
> Tony - This is exactly what we mean when we talk about
> component data models which can be aggregated and associated
> to model complex datasets.
>
> We will never develop one data model for all astronomical
> data (one model to rule them all?). A realistic approach is
> to model obviously useful things which are small enough that
> we can understand and agree upon them
> (components) and then stick these together to model actual
> datasets. A "spectrum" or "image" model would be assembled
> from these components. A conformant dataset would supply the
> minimum required elements of the dataset, but a given data
> provider could add other elements as well. This would give
> us, for each dataset, a standard core built from standard
> components, plus the ability for data providers to extend the
> core model with whatever information is required to describe
> the peculiarities of their data. This would allow the
> structure we define in VO to evolve to work with the real
> data that data providers will publish to the VO.
>
> - Doug
>
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