Confused

[Tony Linde]

I've seen comments saying that we should use metadata instead of
ontologies, data models instead of ontologies, data models instead of
metadata etc.

So what is the difference? And what do people mean by these terms?

For myself:

Data is information stored electronically.
Metadata is data which describes some other data.
Dataset is a collection of data organised by some principle.
Data model is an ERM of a dataset which describes its underlying
construction.

Ontology is all of the terms and semantic relationships used in some
domain discourse (which may be discovered and stored digitally but not
necessarily).

How about you?

Cheers,
Tony. 

__
Tony Linde                       Phone:  +44 (0)116 223 1292
AstroGrid Project Manager        Fax:    +44 (0)116 252 3311
Dept of Physics & Astronomy      Mobile: +44 (0)7753 603356
University of Leicester          Email:  ael at star.le.ac.uk
Leicester, UK   LE1 7RH          Web:    http://www.astrogrid.org