Sampo:
I disagree that no such applications exist. Below is our standard
collateral, which if you read it, will show just such a commercial
application.
As a demo corpus, we use Wikipedia, which to the Correlation Technology
Platform (and a user posing an N-Dimensional Query) is not 3.5 million
documents, or even 10 million pages, but rather 280 million essential
knowledge fragments - the true knowledge payload of Wikipedia.
Carl
------------------------------------------------
Correlation Technology has evolved into a powerful, server-based
application platform capable of handling complex, N-Dimensional Queries
against a "corpus" of millions of documents with one-second response
times.Make Sence Florida, Inc., our US subsidiary, picked up the
challenge of commercializing Correlation Technology - and has delivered
a fantastic success. Additionally, in an exciting new development, the
United States Patent and Trademark Office has published "Notices of
Allowance" for our foundational Correlation Technology patents. And, we
also received the Notice of Allowance for our "Notes" patent -- which
describes what is basically an app that takes in a document, web page or
other text object (of any size), and automatically extracts all the
human-reviewer-type "notes" possible from that document, web page or
text object. So we're certainly going to move quickly toward
commercialization for that technology.
We appreciate this opportunity to share with you this Correlation
Technology news, and have provided the links below to the standard
information packet Make Sence Florida Inc. provides to all parties
interested in the commercialization of Correlation Technology. These
links to PDF document content on our website www.correlationconcepts.com
<http://www.correlationconcepts.com/> include descriptions of what
exactly Correlation Technology is, how it works, and some business
applications of Correlation Technology. For example, we have included
dossiers on Correlation Technology impact in the Market Research and
Recruitment vertical markets.
For the greatest possible comprehension, I recommend that you read these
documents in the following sequence:
*Correlation Technology Introduction
<http://www.correlationconcepts.com/Correlation_Technology_Introduction.pdf>*
/Correlation Technology is not a microwave oven. It is very
complicated. It is difficult to understand. This basic overview
explains how humans use natural correlation all the time, and how Make
Sence, Inc. has harnessed this power to create a new class of dynamic
business solutions./
//
*An Annotated Demonstration of Correlation Technology
<http://www.correlationconcepts.com/An_Annotated_Demonstration_of_Correlation_Technology.pdf>*
/This is an under-the-hood look at the Correlation Technology Platform
in action. All of Wikipedia's 3.5 million articles have been converted
to "Knowledge Fragments." Frame-by-frame, with in-depth notations,
Correlation Technology is used in this actual online demonstration to
reveal how connections from "population density" to "terrorism" are
discovered and presented./
//
*Business Model for Commercialization of Correlation Technology
<http://www.correlationconcepts.com/Business_Model_for_Commercialization_of_Correlation_Technology.pdf>*
/The US Census Bureau has identified more than 2,600 vertical markets
active in the United States and Canada. Make Sence, Inc. estimates that
at least 200 of these vertical markets provide opportunities for
profitable Correlation Technology solutions. This describes vertical
market discovery and validation, and lists the types of business
relationships we expect to forge with candidate companies as licensees,
partners and spin-offs./
//
*Market Research Dossier
<http://www.correlationconcepts.com/Market_Research_Dossier.pdf>*
/This is a no-nonsense business-to-business document containing an
in-depth analysis of the market research industry, its competitive
landscape, major players, and complete SWOT analysis. Specific problems
currently facing the industry are identified, and the disruptive impact
of Correlation Technology when used to provide new dynamic solutions to
traditional market research challenges./
**
*Recruitment Dossier
<http://www.correlationconcepts.com/Recruitment_Dossier.pdf>*
/Same as above, but for the recruitment vertical market./
*Correlation Technology Initiatives List
<http://www.correlationconcepts.com/Correlation_Technology_Initiatives_List.pdf>*
/A number of uses for Correlation Technology have already been
identified. This two page document lists those uses already being
pursued by Make Sence, Inc. with interested parties around the world.
We also identify general areas of expertise which we know represent rich
opportunities for Correlation Technology solutions. /
I look forward to any interest and feedback pertaining to this packet.
Enclosed in all the above documents are direct contacts to Make Sence,
Inc. executives.
Thanks & Regards,
Carl Wimmer
CEO, Make Sence, Inc.
------------------------------------------
On 17/08/2011 2:15 AM, Sampo Syreeni wrote:
On 2011-08-16, Juan Sequeda wrote:
In the past two years, I've tried to get people together to submit
panels and presentations about Semantic Web to SXSW. Unfortunately,
it has barely been successful. [...]
I think it's not successful because the Semantic Web itself is not
successful. It still lacks a killer app, and the integration, and
especially the visual candy that rules over everything else,
adoption-wise. It's still a solution in search of a real problem.
One of the surest signs to me is that pretty much every SemWeb
presentation I've seen a) starts with the same, already-tired,
academic litany of theoretical promises, a layer cake or whathaveyou,
and b) is presented by somebody supported by a grant/tenure/government
salary/whatever. I see absolutely *no* stuff from private, venture
funded entrepreneurs which tell me they successfully solved a
pressing, real life problem using SemWeb technology, and because of
the tech, more rapidly retired with a hefty trust fund.
Because that, honest to God, is the only criterion of a Solution. It's
the criterion *even* if the technology was primarily poised to solve a
problem of a public goods nature where you have to go through the
nasty gymnastics of convincing a government to make its data open, and
linked. That's just not going to happen unless the private sector is
already thriving around your data model, vision, solution, usability
and consumer candy-appeal. What instead happens is that you flat out
lose to PDF (textual description of your data), and in particular to
Facebook (dynamic, social description, again over unstructured text).
Now, I'm not saying SemWeb is dead in the water. Far from it: I'm a
big believer in the basic principles of it. But as of now, the focus
remains totally wrong. First, FOAF has lingered on as a potential
killer app for a while, and stagnated. Second, I'm seeing no
Android/iOS/HTML5 apps which make serious use of the semantic web,
*while substantially and measurably benefiting from it*. Third, that's
prolly because the plumbing isn't there or is too heavy to be deployed
incrementally and/or cheaply. Fourth, heavy duty data really doesn't
sit too well with the basic encodings like RDF/XML; or would you
happily run your production database over it/them? Fifth, where's the
truly transparent and user-satisfying integration with established
media? Et cetera, ad infinitum.
The semantic web holds great promise, but it always has been and sadly
seems to remain more of an academic exercise than something truly
practicable and profitable. More a tentative solution to a
hypothetical problem, than a real solution to a pressing need. Then,
it stagnates for lack of profitable investment, as it has for its
entire duration. Like some relic, preserved by W3C's saving graces or
reverence to TimBL The Great Weaver.
I think instead we should have a fast and dirty triple serving
protocol, or perhaps even a protocol which breaks with the triple
model as such for efficiency. Then a flashy app for distributed social
networking, based on some revived derivative of FOAF, on *all* of the
app stores around. Embeddable and integrable. That'd already go
*miles* towards adoption. Then do the same for the rest of the Linked
Data.
