Friday, November 05, 2004
Mapping
the Patent Space
Short “Systems AS-IS”
Paper
Short “Finding the Balance” Paper
previous discussion on
“structural holonomy” -> .
previous discussion on mapping
the Patent Space à
First, I would like to ask if you are comfortable with a conversion of our correspondence to beads in the BCNGroup digital Glass Bead Game (d-GBG)
A process of editing and separating concept presentations in a specific social discourse, as perceived to be occurring around one person, the bead master, develops the beads. The founding committee of the BCNGroup is automating this process.
We are about to implement the d-GBG in a new form. The current 300 - 400 beads are being acquired by Greenstone digital archive software implementation. Greenstone is a widely accepted open source digital archive system. It has a plug and play architecture with an open source database and open source full text indexer. After we stand up the bead game as a Greenstone archive, we will replace the full text indexer with the Readware conceptual role-up engine and the database with an Orb (Ontology referential base.)
Currently, the conceptual role up, over the d-GBG, is developed by a unique software system based on the Adi structural ontology representation of natural language.
A formal presentation of the Adi structural ontology is being developed for university curriculum at: Part I, Part II, Part III.
A generative methodology has been developed by Prueitt based on work developed 1988 - 2004 on the formalization of a process that produces structural knowledge of any complex system, such as a language system, micro-manufacturing process, scientific object of investigation, social system, etc.
The generative methodology uses Hilbert type mathematics and classical set theory as a crisp representational language. However a non-crisp form of set and category theory follows work by polish logicians on rough sets, which should be called rough category theory, and by Soviet cybernetics on quasi-axiomatic theory, which is the foundation for a theory of control call applied semiotics. (Please see Foundations of Knowledge Science (Prueitt)). In both the crisp and non-scrip case, OntologyStream has developed a correspondence between the formalism and a data encoding that using a simple innovation called a key-less hash table.
Your note has a number of threads that we would like to explore with you:
Dr.
Prueitt,
Thanks
for your interest in 2028. In response to your questions:
Market
development
My
research this year shows that several applications of concept identification
(esp online intelligence and analytics tools, and content routing) are ripe for
the legal, financial, corporate marketing, and online content provider markets.
Plans
for the Future
At
the moment our company is in a Eastern Rim on an unrelated consulting contract
(software, but not concept identification). This past September our CEO met
with several VCs/angels and met large interest for our technology. Our plan is
to finish our project abroad, acquire funding to further develop our technology
and then go to market with plans for an IPO/acquisition by another company. At
this time, I am not sure which markets we will target first; this will most
likely be dependent on the funding and terms we choose.
I
also have some questions for you:
-
Have you developed any technologies based on concept identification? [1]
-
Do you have time/ability to participate in concept identification activities
outside your research? [2]
-
What applications of concept identification technologies are of interested to
your COTS contacts? [3]
It
seems that your contact is quite timely. I look forward to your replies and
continued exchange.
Kind
regards,
Esmeralda
The set of affordances, the complex systems term for “interesting lines of potential discussion:, include the following very important interest:
The BCNGroup has documented a uniform inhibition of innovation in information science caused by layers of monopoly protection for current IT paradigms. One of these layers is the control of stock capitalization by lawyers and MBAs who have been able to manipulate the law and to control the social discourse within the investment community. In most cases, one is told that
1) patents cost 3- 5 million to develop and support over the first 3 – 5 years, and then after this time, if the start-up survives, the cost of support of the patents may require as much as 30% of the corporations gross revenue.
2) Initial Public Offering (IPO) cost 2 – 3 million and take at least three years
The IPO/patent mythology has created a situation where vulture capitalists can take innovation and bleed it dry, while spending friends and family investment money. Many hundreds of cases are documented, and many thousands of cases are presumed to exist, where fraud and collusion has ruined innovators economic viability and drained the friends and family good will and bank accounts.
The result is that the only “concept” technology that is brought to the market is very expensive, is not leading edge and is completely controlled by MBAs and lawyers.
Through In-Q-Tel Inc, the US government participates in it behavior, see: Technical evaluation of Intelligence Technology
Our work on mapping the patent space can certainly change the current “requirement” that innovators get 2- 3 million from friends and family to pay for patent protection. What the BCNGroup is keenly interested in is how one might template a minimal path to IPO that does not drain all of the economic resources of the founding group.
[1] The BCNGroup founders has a complete patent and innovation map based on a Latent Semantic Indexing (continuum) and SLIP (discrete) processing of a archive of patent descriptions and of innovation reports. The differential ontology framework (DOF) links to two conceptual representations.
[2] There is nothing that exists outside of our research that we know of. If we find something we are very interested in acquiring an understanding of this “thing”, be it an business innovation related to taking start-ups to IPO, or new algorithms or data encoding mechanisms.
[3] Historically we are at a point in teim like when Tesla was first trying to introduce the AC electrical engine into a market that had become controlled by Edison’s DC electrical engine. The application of AC information science is Human-centric Information production (HIP) using technology that has become free to all. Thus the economic gains occur not in the production of software, as is the case today, but in the application of informational transparency to problems of high social value, such as completing the terrorism protection grid