Re: Knowledge representation for AI using domains or a universe of discourse

Thanks Owen,

I sense you were on to what I intend to do. Because the United Nations has
the UNESCO, WIPO, ISO, and UNSD (UN Statistics Division) which together
deal with various aspects of data and information, standardization and
intellectual property rights issues, for scientific knowledge the process
is more or less straightforward.

In the UN universe of discourse, knowledge is is a concept spanning many
domains of discourse. Traditional, indigenous and orally transmitted
knowledge is the first category.
It is currently being dealt with through SIL (https://www.sil.org),
 UNESCO and several initiatives by organizations of indigenous peoples
dealing with AI, traditional knowledge, data and knowledge sovereignty
issues.

All the other categories of knowledge and data can be categorized either by
universal subject coding sysyems, structured text components, or
enumeration of informal text parameters. Semiotics, symbol sets,
pictograms, petroglyphs and alphabets, spectral data are general categories
which help define knowledge objects.

What needs to be done is to create a universal categorization for knowledge
over the following domains of discourse:

   - Mathematics;
   - Computer Science;
   - Physics and Astronomy;
   - Chemistry, Biology and Biochemistry;
   - Medical, Health and Life Sciences, including Genomics and Pharmacy;
   - Earth Sciences; dealing with lithosphere, hydrosphere and atmosphere
   - Marine Science including Oceanography;
   - Engineering and Materials Sciences;
   - Languages and Computational Linguistics;
   - Philosophy;
   - Social Sciences, including History, Political Sciences, Sociology and
   Anthropology;
   - Art, Cultural and Creative Design Studies;
   - Education, Vocational and Professional Training;
   - Economics, Econometrics and Statistics;
   - Political Sciences, and Law;
   - Business and Public Sector Management.

Milton Ponson
Rainbow Warriors Core Foundation
CIAMSD Institute-ICT4D Program
+2977459312
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean

On Wed, Jun 25, 2025, 11:54 Owen Ambur <owen.ambur@verizon.net> wrote:

> To help me make sense of this, I prompted ChatGPT to render a plan in
> StratML Part 2 format, which is now available at
> https://stratml.us/drybridge/index.htm#EARP or, more specifically,
> https://stratml.us/docs/EARP.xml
>
> Owen Ambur
> https://www.linkedin.com/in/owenambur/
>
>
> On Tuesday, June 24, 2025 at 10:48:45 PM EDT, Paola Di Maio <
> paola.dimaio@gmail.com> wrote:
>
>
> Thank you Milton
> Let us know how you propose to advance this suggestion
> PDM
>
> On Wed, Jun 25, 2025 at 6:27 AM Milton Ponson <rwiciamsd@gmail.com> wrote:
>
> Dear all,
>
> We have reached the point in time where we must start to generalize the
> basis of knowledge representation for artificial intelligence.
>
> In order to do so we must find (a) common denominator(s) for the different
> types of knowledge.
>
> Assuming that the knowledge is digitized we can use the concept of the
> universe of discourse or more specifically domains of discourse.
>
> These concepts lend themselves for use of set theory, type theory etc. and
> allow modeling and constructibility of consistent logical frameworks.
>
> And they also allow the use of (hyper)graphs, algebraic geometry, category
> theory etc. to allow knowledge representation in ways that can be captured
> for data (structure) creation, data analysis and machine learning.
>
> In addition we can use classification systems to uniquely identify domains
> of discourse as librarians do and as mathematicians do as well with the
> Mathematics Subject Classification.
>
> This can lead to a much more efficient use of datasets, the use of which
> can be negotiated with the respective owners, avoiding the current
> intellectual property and data rights, data and knowledge sovereignty
> debates.
>
> The indiscriminate use of scraping and unlimited production of internet
> content by artificial intelligence is contaminating available data.
>
> After having examined the current use of artificial intelligence for
> solving sustainable development problems, both at global, regional and
> local levels, the use of (open) curated and/or standardized datasets is the
> only way to go.
>
> This requires the use of a universe of discourse and more specifically
> domains of discourse.
>
>
> Milton Ponson
> Rainbow Warriors Core Foundation
> CIAMSD Institute-ICT4D Program
> +2977459312
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean
>
>