Re: For each bubble, a container for KR terms

Thanks again to all of you for the very insightful sharing.

As someone who is newly entering the KR domain, I have been trying to
understand the overall landscape by organizing the concepts using the
following layered architecture.

```
[L4] Semantic Execution Layer (our work: semantic agent communication CG)
    └─ OS-level execution, agent sandboxing, DID/VC identities,
       semantic ledger, cross-agent message schemas

[L3] Semantic Behavior Layer (our work: semantic agent communication CG)
    └─ Contracts, capabilities, delegation structures,
       execution-context models

[L2] Semantic Positioning (Milton)
    └─ Conceptual placement of KR between
       language-sensitive context and application-level behavior

[L1] Semantic Materials (Paola)
    └─ Vocabulary sets, definitions, classifications,
       semantic maps, knowledge-representation corpora

[L0] Semantic Atoms (Daniel)
    └─ Character-level units combining form, meaning,
       procedural RPN programs, and embedding space
```

My intention is simply to understand how different lines of work relate
along the spectrum from semantic materials and definitions (L0–L1), to
conceptual positioning (L2), to behavior-level structures (L3), and finally
to execution frameworks (L4) .

If this mapping misrepresents anything, I would be grateful for your
guidance.
Thank you again for the discussion and for helping me understand the field
more clearly.
Paola Di Maio <paoladimaio10@gmail.com> 於 2025年11月20日 週四 上午10:37寫道：

>
> Milton and others
> I am glad there is interest in KR and the work being done by this CG,
>
> Please feel free to share your work, you do not need anybody's permission
> to draw diagrams, write papers or present your
> evaluations *provided these are related to the work being done
>
> It is quite difficult to get people to read our work, this is why we must
> validate our own
> work externally and try to publish it *better still if it has some
> evaluation and validation built in
>
> I am now training  agents *as per the talk on KRL and have become very
> absorbed, so I  need to focus
> my attention where it is needed
>
> Next steps for me
> - try to wrap up some vocabs (possibly a subset) the open them up for
> evaluation and consultation
> - find out if and how to move forward toward a specification
> - training Agents to  support this work.
>
> CG participants with the required competences and resources please get in
> touch to help with the plan
>  we may cook something together
> and share the results with this list
>
> Look forward to be reading your papers or listening to your talks on KR,,
> Milton and everyone, whether it is literature reviews, state of the art
> reports or new advances
>
> Best
> Paola
>
>
> On Thu, Nov 20, 2025 at 2:25 AM Milton Ponson <rwiciamsd@gmail.com> wrote:
>
>> Maybe it is necessary to explain my point of view in plain language.
>>
>> Knowledge representation is "the man in the middle" between knowledge and
>> application.
>>
>> Both ends define the contexts for the man in the middle, and both ends
>> are determined by specific domains of knowledge or application.
>>
>> We can create general frameworks on both sides of the man in the middle.
>>
>> On the left hand side natural language context sensitive and right hand
>> side computationally application specific.
>>
>> Maybe we should redraw the bubbles graph to reflect this.
>>
>> Milton Ponson
>> Rainbow Warriors Core Foundation
>> CIAMSD Institute-ICT4D Program
>> +2977459312
>> PO Box 1154, Oranjestad
>> Aruba, Dutch Caribbean
>>
>> On Wed, Nov 19, 2025, 12:12 Paola Di Maio <paola.dimaio@gmail.com> wrote:
>>
>>>
>>> Just to remind newcomers, and participants who may have not followed the
>>> work being done in detail
>>> or may have lost sight of the mission *admittedly we have had wide
>>> ranging conversations on this list
>>>
>>>  that over the years, hundreds of terms representing the KR domain have
>>> been
>>> collected, refined, and evaluated for inclusion from the corpus
>>>
>>> Not just academic literature, but lecture notes, from use cases and
>>> technical documents in use.
>>> Some of these vocabs are being peer reviewed, but still far from being
>>> final!
>>>
>>> So for each bubble in the diagram  *note I have produced a new version
>>> with links to the vocabulaires, but at this moment these are not shared
>>> resources yet
>>>
>>> [image: AI KR VOCABS NOV 2025(1).jpg]
>>>
>>>
>>>  providing an overview of the conceptual spaces in KR, there is
>>> vocabulary capturing hundreds of terms and concepts extracted from the
>>> KR corpus.   Would not say this is quite 'core vocabulary for KR yet *
>>> because it needs refinement
>>> We have over 1400 unique terms from one category alone
>>>
>>> I am confident that it is the most extensive map of the KR domain  *and
>>> it is becoming difficult to handle
>>>
>>> For each vocabulary, now I have different versions. Some have
>>> definitions *a version of which is being done by Chris Harding
>>>   Some have categories attached to them.
>>> I am not ready to share them publicly,  but I have managed to publish
>>> one set *KRL in the proceedings of the DCMI conference
>>> *should be open access soon  together with the evaluation methodology
>>>
>>> I have shared the vocabulary drafts on this list with CG participants
>>> who expressed an interest
>>> At this stage, and not until we have a better understanding of how to
>>> handle this material, I have restricted access
>>>
>>> It s hundreds of hours of very interesting work
>>> In the link below, shared on a post to this list on 22 October here, I
>>> provide the rationale and pointer to the KRL vocab *corresponding to the
>>> bubble on the right in the diagram
>>>
>>> *pre recorded talk here
>>>
>>> https://drive.google.com/file/d/1ZXGxsFXvnTXm_knYXbax0I2HdqfWuNWK/view?usp=sharing
>>>
>>> I do not expect that participants read all emails but that s the only
>>> way to keep up sometimes
>>>
>>> This is why I plan a report shortly summarizing all the resources
>>> produced to date, and of course, welcome evaluation and refinement
>>>
>>> PDM
>>>
>>>
>>>
>>> On Wed, Oct 22, 2025 at 4:48 PM Paola Di Maio <paola.dimaio@gmail.com>
>>> wrote:
>>>
>>>> Gday AI KR CG
>>>>
>>>> Today DCMI 2025 Conference takes place in Barcelona, our paper was
>>>> accepted for presentation *in person only
>>>>
>>>> *pre recorded talk here
>>>>
>>>> https://drive.google.com/file/d/1ZXGxsFXvnTXm_knYXbax0I2HdqfWuNWK/view?usp=sharing
>>>>
>>> KRL vocab
>>>
>>>
>>> Some related work done in the last few years in this space is summarized
>>> in a recent narrative
>>>
>>> https://drive.google.com/file/d/1uZAw90qx1tPDbnVfGBSRCK260q-i8tzI/view?usp=sharing
>>>
>>> Here the slides where you may be able to open the links from the
>>> recording above
>>>
>>> https://drive.google.com/file/d/1uZAw90qx1tPDbnVfGBSRCK260q-i8tzI/view?usp=sharing
>>>
>>> *@TPAC 2025?  *https://www.w3.org/community/aikr
>>>> /wiki/AI_KR_CG_@TPAC_2025
>>>>
>>>
>>>
>>>> A mailing list, you can browse the archive here, where we try to keep
>>>> track of current topics in AI KR
>>>> https://lists.w3.org/Archives/Public/public-aikr/
>>>>
>>>> Some working notes on the wiki * may be outdated!
>>>> https://www.w3.org/community/aikr/wiki/Main_Page
>>>>
>>>> A first report published some time ago,
>>>> https://www.w3.org/community/aikr
>>>> /wiki/File:AI_KR_FIRST_REPORT_PUBLISHED_VERSION.pdf
>>>>
>>>
>>>
>>> Be good
>>>
>>>>