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Kingsley ,
I have quite a few tools in my work shop. When I start to make
something I get the tools that I need for that work. Size matters
when it comes to sawing. It helps if I had made the object before,
or something similar.
There are quite a few tools out there now that can be used for
ontological work. We wouldn't want to duplicate effort. But
clearly, as your link points out, the tool needed for a task is
entailed from the goal.
There are goals of the SW that have been discussed and some tools
exist to help accomplish some of those goals. It seems that there
are a number of subgoals, some of which have been met and some of
which have not been described succinctly. The scope matters also.
Which did you have in mind?
JohnS:
Yes, I agree those three words, "diversity, heterogeneity,
and interoperability" at key but they strike me as features or
facets, not goals. I believe we need to state a goal for a tool
that has not already been addressed.
-John Bottoms
FirstStar Systems
Concord, MA USA
On 7/23/2013 7:54 PM, Kingsley Idehen wrote:
On
7/23/13 1:00 PM, John F Sowa wrote:
Amazon began life as a bookseller, and
they extended their reach to
become a very large retail supplier of almost everything. But
their
service business has grown faster than their retail business:
http://www.reuters.com/article/2013/07/21/net-us-amazon-cloud-idUSBRE96K04B20130721
Some excerpts:
After years of being dismissed as a
supplier of online computer
services to startups and small businesses, Amazon Web Services
(AWS)
beat out International Business Machines this year to snag a
$600
million contract with the Central Intelligence Agency.
Public cloud computing, which AWS pioneered in 2006, lets
companies
rent computing power, storage and other services from data
centers
shared with other customers - typically cheaper and more
flexible
than maintaining their own.
Five companies vied for the contract - AWS, IBM, Microsoft,
AT&T and
another unidentified firm, according to a report on the
bidding by
the U.S. Government Accountability Office.
My only knowledge of AWS comes from reading some of their
documentation
and some miscellaneous articles about it. They provide some
flexible,
high-speed methods for indexing, finding, and updating anything
in
their clouds.
But I noticed that 2006, when AWS started, is also the year when
the
DAML project finished its basic tools: RDF, OWL, and SPARQL.
Amazon
does not use any of those tools. But I noticed that some people
have
stored data that contains RDF links in AWS.
I also noticed that one of the Amazon tools, SimpleDB, is
implemented
in Erlang. That language was designed to support concurrent
processing
with multiple threads, especially for use by large telecoms.
AWS probably uses Erlang (or techniques inspired by Erlang) for
other
purposes, especially for their method of "autoscaling", which is
"a feature that automatically adds or removes computing power in
response to application use." For a brief overview of Erlang,
see http://www.erlang.org/faq/introduction.html .
"Auto-scaling is very complex and there
are not many cloud providers
that can do it well, but Amazon is great at it," said Kyle
Hilgendorf,
a cloud computing analyst at Gartner.
Erlang is an example of the kinds of tools that mainstream
developers
are willing to adopt and use for mission-critical applications.
One
more example: Facebook uses Erlang to support their chat
backend.
Why haven't developers found a way to build multi-billion dollar
technology on top of the SW tools? They might provide some
support
for importing data from those tools, but they don't use them as
the
foundation for their technology. Why not?
John
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John,
We really need to establish what 'Tool' means [1] to push this
discussion forward, coherently. Once the meaning of 'Tool' is
established we still have the thorny issue of what a Semantic Web
Tool is, bearing in mind the aforementioned buzz-phrase is rife
with confusion and controversy.
Personally, I believe the World Wide Web has always been a Web of
Semantically interlinked Data. The issue (in my eyes) is that over
time the fidelity and machine-readability of the underlying entity
relationship semantics are what continue to evolve [2].
I am an extensive (an very early) user of AWS. I use this platform
to deploy very sophisticated solutions that leverage various
aspects of the Semantic Web technology stack [3]. AWS itself will
benefit immensely from Semantic Web technologies once we find a
way to reduce the confusion (and provincial tendencies) swirling
around this most important aspect of the Web.
Today, when making AWS based EC2 AMIs you will notice that are
lacking on the data model front, and this makes automated
construction and management of AMI's more difficult than it needs
to be. Anyway, we are going to turn this data into Linked Data and
then present it back to the folks at Amazon which could shed a lot
of light on how these technology provides immediate value to a
thorny problem they are grappling with etc..
Links:
[1]
http://dbpedia.org/describe/?url="">
-- Description of a Tool
[2] http://bit.ly/10Y9FL1 -- Why I claim the World Wide Web was a
Semantic Web (coarse-grained fidelity, on the machine-readability
front) from inception (note: click on the links!)
[3] http://bit.ly/Y4aHx9 -- Amazon EC2 AMI for Virtuoso
[4] http://bit.ly/NzIm3t -- G+ note explaining AMI setup.
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