Re: [ontolog-forum] Data, Silos, Interoperability, and Agility

[John F Sowa <sowa@xxxxxxxxxxx>]

On 9/24/2013 5:25 PM, Kingsley Idehen wrote:
> The expressive power of FOL needs to be meshed with the data being
> processed.    (01)

That statement requires many clarifications and qualifications.    (02)

> The data being processed is now disparately located, heterogeneously
> shaped, voluminous, and volatile.    (03)

That is why it is essential to design systems for which heterogeneity,
diversity, and interoperability are of primary importance.  Those were
the goals of the DAML proposal of Feb 2000.    (04)

> RDF based Linked Data enables the fusion of logic, data, and data access.    (05)

No.  RDF was designed as a single data model that can only be useful
if all the diversity is eliminated by mapping everything to it.
That is the antithesis of a multi-paradigm system that is designed
from the beginning to support heterogeneity.    (06)

> Using HTTP URIs as identifiers makes a big difference to many challenges
> in this regard e.g., pointing to data across data spaces.    (07)

Unique identifiers (AKA surrogates) have been used in DB systems for
ages upon ages.  Various methods for globally identifying resources were
proposed.  Among them were Unix-like file systems whose top level IDs
would be a unique name for each separate file system (which could be
accessed by multiple CPUs).  A version of this was adopted for Arpanet,
which later was extended to the Internet.    (08)

That was the basis for URLs.  URIs and IRIs are the next step.  But the
basis for the naming scheme was developed long before the SW, it was
independent of the SW, it is certainly useful, but there are other
naming schemes that could be just as useful or even more useful.    (09)

> Missing link (order in my initial response is broken):
>
> [3] http://bit.ly/ZOCmaD -- Star Schema Benchmark Results (SPARQL vs SQL)
> [4] http://bit.ly/10pvAbF -- Star Schema & The Cost of Freedom Blog Post.    (010)

Those are not comparisons of SPARQL vs. SQL.  They are comparisons of
certain kins of queries running on certain implementations of SPARQL
and SQL.  With different queries for different purposes on different
implementations, you can get radically different results.    (011)

John    (012)


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