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On 9/4/12 7:48 AM, David Eddy wrote:
Kingsley -
On Sep 3, 2012, at 9:14 PM, Kingsley Idehen wrote:
RDBMS is nice, but what about flat files, IDMS,
IMS, M204, S2000, Adabase, etc, etc, etc., that
are ALL in active use.
Likewise, most are accessible via one of the following:
ODBC, JDBC, ADO.NET,
OLE-DB, JDO, SOA Web Services, SOAP Services, RESTful
interaction patterns e.g., via HTTP etc.. Once the data
is accessible it becomes much more malleable etc..
I could be wrong here, but things like ODBC, JDBC, etc. are
DATA access mechanisms, right?
Yes.
They do not access the software that produces the data (to
the best of my knowledge).
They access the data that's encapsulated by code.
To repeat... I am asking if there is anything in the SW
stack that helps deal with the (legacy) software. I am NOT,
repeat NOT, interested in the data, since efforts like
LinkedData appear to be handling that facet.
My interest is open data access. Code is a form of data too, but you
really need the kind of stuff that John Sowa and Co. are working on
for that. The Semantic Web stack can contribute to the effort, but
in no way is it an off the shelf nirvana for such an endeavor.
Let me try this..,. DATA is the finished product. I am
interested in the machine tools (software) that produces the
finished product.
See my comments above.
I am more interested in unshackling the data.
What does "relational schema with base semantics"
mean in your context? I think the tricky word here is
"base."
I am referring to ontology generation from an RDBMS schema.
I interpret this as stating that a RDBMS schema is an ontology?
It is a rudimentary ontology, yes.
Or an ontology can be generated/extracted from a RDBMS
schema?
Yes to that also. Basically, you can map a rudimentary ontology to a
more fine-grained and domain specific ontology.
Am I understanding this correctly?
Or is there a magic tool—it's a big world out there, I have
no pretenses to know all magic tools—that automagically
transforms a RDBMS schema into an ontology?
My overall question, of course, is if one has a 10-15-20+
year-old RDBMS schema that was designed & built long before
"ontology" was applied to the systems world, how is it that said
schema is an ontology or an ontology can be extracted/reverse
engineered from a schema that looks more like a flat file?
You access the raw structured data, derive a basic ontology from the
rdbms data dictionary / schema, then map the derived ontology to a
more fine-grained domain specific ontology, then let a reasoner do
the rest.
After all, it takes very little work to move a 1700 data
element flat file into a 1700 column single table RDBMS. It
takes a LOT of work to move 1700 data elements into a well
designed RDBMS.
Yes, but the RDBMS isn't dexterous enough for today's needs. Its too
extensional. Today we need to exploit the intensional aspect of
things. This is where Linked Data and the Semantic Web stack are
very strong, once you get beyond the distractions of political
power-plays and broken narratives.
Kingsley
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Regards,
Kingsley Idehen
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
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