Re: Vote for my Semantic Web presentation at SXSW


I disagree that no such applications exist. Below is our standard 
collateral, which if you read it, will show just such a commercial 

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.



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 
<> 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 

/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 

/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 

/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 

/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 

/Same as above, but for the recruitment vertical market./

*Correlation Technology Initiatives List 

/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.

Received on Wednesday, 17 August 2011 07:01:20 UTC