for IT professionals

For IT professionals, software developers, potential investors and others seeking a more in-depth understanding of the semantic and programming concepts underlying Hiveware®, Hiveware Inc offers the following documents for examination.


 

Explanation of the Hiveware Architecture (November 2006)
A general introduction to Hiveware® technology for both IT specialists and non-specialists.

SGML Implementation with 100pct Tag Omission (April 2006)
This paper explains how the Hiveware® technology eliminates the need for markup tags like Some Title or even ....

HIVEWARE: A synchronous Distributed Context Distributed Content Groupware Architecture (March 2006)
An explanation of the theory behind the technology.

Distributed Context as Long-running Parse Tree (September 2008)
An academic introduction to the subject from a parse-tree perspective. (Windows users click here
to view video clip associated with the paper).

Computer supported Methodically Formed Networks (September 2008)
Critical comments on decision-making during the Hurricane Katrina disaster of 2005 - a potential real-world application of Hiveware. Includes a response to an article by Denning and Hayes-Roth (see below).

Decision Making in Very Large Networks (September 2008)
by Peter Denning and Rick Hayes-Roth. An article in Communications of the ACM, November 2006/Vol. 49, No. 11. A case study of FEMA decision-making during Hurricane Katrina (see above entry for Robert Tischer’s comments on this article).

Technical Reference US Patent 7,124,362 (November 2010)
by Robert Tischer. Using Hiveware® for Word as an embodiment of the software invention, a scenario is illustrated and commented where one author signs up a second author into a SmallBusProposal hive. Population and content delegate are fully described and related to the claims of the patent.

NOTE about Computer Science's compiler problem:

Ever since Noam Chomsky in his 1957 "Syntactic Structures" pronounced that meaning was not necessary to determine linguistic structure, software compilers have been stuck in analytic limbo. All of software's compilers today can generate intermediate code and subsequently optimized object code, but they cannot establish language meaning and associate it with object code that runs on today's von Neumann CPU architecture. This is quite sad since problems require the meaning dimension to be really solved. I liken today's software compiler to the Antikythera clockwork mechanism found by a Greek sponge diver off the tiny island of Antikythera in 1900. At first scientists thought that the ancient greek mechanism was an astronomical computer capable of predicting the positions of the sun and moon in the zodiac on any given date. Additional research has shown that the device was specifically designed to model a particular form of "epicyclic" motion. The Greeks believed in an earth-centric universe and accounted for celestial bodies' motion using elaborate models based on epicycles. (see The Economist's "The Clockwork Computer" article)

Antikythera_clockwork_computer

Analogous to the ancient Greeks and their earth-centric universe, Computer Scientists only believe in analytic compiling despite the fact that linguistics and therefore meaning is at the heart of designing software tools that are linguistic extensions of groups of people (who use computer tools).


 
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