|To:||"[ontolog-forum] " <ontolog-forum@xxxxxxxxxxxxxxxx>|
|From:||Rex Brooks <rexb@xxxxxxxxxxxxxx>|
|Date:||Mon, 12 Nov 2007 05:53:34 -0800|
FWIW, The Human Markup Language (HuML) Effort that went into hiatus last year (2006) for lack of participation was based on Peircean Semiosis, in which we postulated a Semiote, e.g. a biological human or artificial agent, as the atomic unit of cognitive activity.
I have attached the Word version of the 'Committee Specification' of the HuML primary base specification, which was not advanced further for OASIS-wide approval for a number of reasons, not least of which is that we were working on the revision detailed next. The primary base was originally intended to be one of two foundational specifications, a primary set of categories of basic terms and a secondary set of categories for secondary languages, e.g. a language for human physical characteristics which would collect anatomical, archeological, medical and healthcare languages. The HuML primary and secondary bases were organized as the initial set of categories on which more specific topic-area secondary languages could be assembled. I use the word assembled because it was never our intent to reinvent or rewrite any existing human vocabulary or ontology or taxonomy.
Before we folded our OASIS tent we worked on a revision of the primary base specification, or foundational language, which was expressed as an RDF Schema and as an OWL ontology as well as an XML Schema. I have attached those representations, too. It was an early attempt to unify these representations, a key concept that is beginning to be understood as a helpful if not necessary concomitant of standards development.
The RDF Schema stood in a direct line of descent from the Conceptual Reference Model of the International Council of Museums (CIDOC CRM), due largely to the fact that we had decided to use the CIDOC CRM definition of 'artifact,' as well as other term definitions which are central to both the CRM and HuML. The CIDOC CRM was not expressed in either an XML or OWL representation, so its use was limited and limiting. We did not find a suitable OWL model specification, and did not attempt to select a single upper ontology, with or without an OWL representation, so attempted to create our own confined to the limited set of terms in the primary base.
Among what in retrospect appears to be too-many other things, HuML also wanted to unify areas like Contact Information (from the OASIS Customer Information Quality Technical Committee--CIQ TC) and a Master Patient Identifier (MPI) from the Healthcare Informatics domain via the Nationwide Healthcare Information Network--NHIN--of HHS).
Oddly enough, the only major corporation that ever paid us any attention was Unisys, but the individual was not Jane Mazzagatti, so there's no connection I know of. Just another curious coincidence.
At 8:59 PM -0500 11/11/07, Niemann.Brand@xxxxxxxxxxxxxxx wrote:
Thanks for this and the book is available at Amazon http://www.amazon.com/Practical-Peirce-Introduction-Continuum-Implemented/dp/0595441122
whose description says:
The Triadic Continuum is the invention of Jane Mazzagatti, a mathematician and software engineer. Mazzagatti came upon the idea for this new computer data structure, which is based on the work of Charles Peirce, while working on a project for Unisys Corporation. This same structure has proven commercially valuable in the efficient way it stores and allows for the analysis of large datasets. However, while learning about the nature of the structure she discovered more far-reaching implications to areas other than computer science. Charles Peirce was fascinated with how the mind reasons and with all of the scientific and philosophical implications of the mechanisms of how the brain records experience, constructs memories, and accesses previously stored experience and knowledge. Mazzagatti believes that she has rediscovered the structure of the Triadic Continuum, which is the foundation of many of Peirce's key theories dealing with human reasoning and the logic of thought.
In this book the author, who worked with Mazzagatti writing patents for the invention, explains how this structure is unlike any other computer data structure or type of Artificial Intelligence-but more importantly why this structure may very well be a model for human cognition.
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