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On 7/23/13 8:45 PM, John Bottoms wrote:
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?
Tools include:
1. middleware for generating fine-grained structured data (endowed
with machine-readable entity relationship semantics) from
coarse-grained structured data
2. HTTP URIs are also a tool for entity denotation (naming) that
can optionally include resolution document content - this enables
the construction of web-like (or webby) structured data delivered as
document content
3. SPARQL query editors -- like their SQL counterparts, these enable
creation of globally accessible queries while also enabling the
sharing of query results and their definitions
4. Browser plugins and extensions -- which enhance existing browsers
such that they can be used to create, save, edit, and share web-like
structured data (endowed with machine-readable entity relationship
semantics).
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.
1-4 enable non-disruptive exploitation of the technologies that are
generally referred to as "the semantic web" stack.
I agree with John about the need to embrace and extend existing
solutions using the semantic web technology stack. Unfortunately,
this approach isn't the norm and its a large reason why we still
have a lot of confusion-driven-inertia swirling around the "semantic
web" meme and the technologies that comprise its stack.
To answer John's question precisely, major Web players such as
Amazon haven't embraced the stack (in overt ways) because their
developers either find the technology confusing or they find it too
disruptive to implement bearing in mind existing legacy
infrastructure. That said, the likes of Facebook, Google, and
Microsoft are increasing their use of these technologies. The same
applies to the U.S., UK, and many other countries.
In my eyes, the biggest irony around "the semantic web" is the fact
that at its core lies a power collection middlerware -- based on the
architecture of the World Wide Web -- that's artificially obscured
by poor narratives and overly provincial marketing.
Kingsley
-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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--
Regards,
Kingsley Idehen
Founder & CEO
OpenLink Software
Company Web: http://www.openlinksw.com
Personal Weblog: http://www.openlinksw.com/blog/~kidehen
Twitter/Identi.ca handle: @kidehen
Google+ Profile: https://plus.google.com/112399767740508618350/about
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