|To:||Ravi Sharma <drravisharma@xxxxxxxxx>, "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>|
|From:||Thomas Johnston <tmj44p@xxxxxxx>|
|Date:||Mon, 16 Feb 2015 13:28:22 -0800|
In what I think is fairly standard use of terminology, I would say that a table in a relational database has the mathematical structure of a time-varying relation on the Cartesian Product of that table's columns. To give an interpretation to those mathematical objects, i.e. to interpret them as representing types (ontological kinds), the best we can do is to give those constructs names -- hence Customer tables, Product tables, etc.
But the names mean nothing to the DBMS. So another way to look at ontologies in the context of relational databases is this: once the catalog entries for tables, columns and domains in relational databases are associated with ontologies that the RDBMS can manipulate, then those names will be more than names. They will be objects on which inferencing can be performed. When databases of the future can do that, we will have something very powerful indeed.
However, terminology in both the field of formal ontologies, and indeed in IT data management, is often imprecise. So it's hard to agree or disagree with your points, and I hope I haven't misunderstood you.
Let's see what others have to say.
On Monday, February 16, 2015 11:45 AM, Ravi Sharma <drravisharma@xxxxxxxxx> wrote:
"Ontologies are about the types themselves, not their instances."
Hence Ontology are to be compared to or mapped to Metadata of Master Data and not to the Instances of Master Data (Values of Master Data).
Is it not correct to think of Meta-model of the MDM (e.g. tool) as being something akin to E-R Diagrams / Models but not about tables and columns but instead about Master Data table type and relationship type and this in turn being mapped to Things and Relationships in ontology domains?
On Mon, Feb 16, 2015 at 10:43 AM, Thomas Johnston <tmj44p@xxxxxxx> wrote:
(Dr. Ravi Sharma)
313 204 1740 Mobile
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