+1
There are tools that help in extracting the models, or at least try to. Some of that comes out of the “software modernization” industry – analyze your Fortran,
COBOL, Ada, C, VBasic, stuff; make a model of the content; and generate Java or Ruby or whatever. There is also Government and other funding for “software assurance” – making sure the code does what is expected -- which does code analysis and model comparison.
NIST has a software assurance program, but I don’t think I should mention the contractors by name. You might also look at an OMG thing called the Knowledge Discovery Metamodel, which comes from the modernization folk.
http://www.omg.org/spec/KDM/1.3/
-Ed
From: ontolog-forum-bounces@xxxxxxxxxxxxxxxx [mailto:ontolog-forum-bounces@xxxxxxxxxxxxxxxx]
On Behalf Of Duane Nickull
Sent: Thursday, February 06, 2014 5:43 PM
To: [ontolog-forum]
Subject: Re: [ontolog-forum] fitness of XML for ontology
Whether they are explicitly declared or not, the models are there. The really challenge is teasing the model out from the existing code.
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Cory -
On Feb 06, 2014, at 3:03 PM, Cory Casanave wrote:
I really don't care much how people persist and exchange their data (or metadata) as long as the model is sound.
Assuming we're talking about systems here, what happens when there are not models? Or the models are incomplete/inaccurate?
Is there any sort of guesstimate as to what percentage of systems actually have worthwhile, accurate models?
I think I'm on firm ground that very, very, very few firms have any sort of easily accessible, accurate, complete, current metadata.
Since metadata is pretty slippery stuff, I'm more than happy to quote that over the past 50 years, the survival rate of data dictionary/metadata repository efforts
in Fortune 500 organizations has been under 5%.
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