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Re: Towards adopting stratml for the AIKRCG 'strategy': Meeting Report

From: Paola Di Maio <paola.dimaio@gmail.com>
Date: Wed, 27 May 2020 09:51:18 +0800
Message-ID: <CAMXe=Sp7N=QdWijoAyg6Tgow_fYAJw3HujvYXaUmEbYMNmrGhw@mail.gmail.com>
To: carl mattocks <carlmattocks@gmail.com>
Cc: W3C AIKR CG <public-aikr@w3.org>
Thank you Carl

sorry I did not make it last night but will be refining my entries in the
stratnav app to reflect what I am working on now
Have a couple of virtual talks and working on papers -  and shall be
working on those

perhaps you can enter also in the plan your proposed goals and actions

Look forward to be reading more about krid and when it is mature enough
maybe you can give a presentation/
make some slides to prep  your krid spec draft


pdm

On Tue, May 26, 2020 at 10:35 PM carl mattocks <carlmattocks@gmail.com>
wrote:

>
>
> a KRID focused goal is Create a Core Ontology that clarifies
> role/use/properties of KRID within context of 'goals' mapped in StratMl
>
> Towards that goal please peruse :
> Core Software Ontology Core Ontology of Software Components Core Ontology
> of Services which references Ontology of Goals
> http://km.aifb.kit.edu/sites/cos/
>
> An Ontology to aid the Goal-oriented Requirements Elicitation and
> Specification for Self-Adaptive Systems
>
> https://www.researchgate.net/publication/221270123_GOORE_Goal-Oriented_and_Ontology_Driven_Requirements_Elicitation_Method
>
> Carl
>
>
>
> It was a pleasure to clarify
>
>
> On Mon, May 18, 2020 at 7:52 PM Paola Di Maio <paoladimaio10@gmail.com>
> wrote:
>
>> Thanks Carl for clarifying
>>
>> what about setting the goal for clarifying /sketch out KRID so that we
>> can have a discussion
>> I plan to put my hands on the plan in the stratnavapp soon
>> P
>>
>> On Thu, May 14, 2020 at 10:09 PM carl mattocks <carlmattocks@gmail.com>
>> wrote:
>>
>>>  Towards adopting stratml for the AIKRCG 'strategy' ...
>>> Given we are AIKR ... we understand that Kairos  signifies a proper or
>>> opportune time for action  and our usage of StratMl to EXPLAIN makes us
>>> interested in Knowledge-directed Artificial Intelligence Reasoning Over
>>> Schemas (KAIROS) DARPA-SN-19-19 .
>>>
>>> Our discussions have focused on:
>>> StratML is our Schema start point  for reasoning, as in, the performance
>>> of AIKR   inference
>>> <https://www.merriam-webster.com/dictionary/inferences>s is scoped /
>>> weighed by the declared strategy.
>>> AIKR reasoning uses KRID identifiers and data (aka metadata) properties,
>>> such as KR TYPE.
>>> KR Types include Declarative and Imperative  (aka procedural).
>>>
>>>  Carl
>>>
>>> Chair AIKRCG
>>> It was a pleasure to clarify
>>>
>>>
>>> On Thu, May 14, 2020 at 7:37 AM Paola Di Maio <paola.dimaio@gmail.com>
>>> wrote:
>>>
>>>> It is under Owen and Chris's leadership that we are making some
>>>> progress towards
>>>> adopting stratml for the AIKRCG 'strategy'
>>>>
>>>> In sum. what are we doing/planning to do as a group is going to be
>>>> documented in the plan. and although we are still working  things out, as
>>>> we do have moments of brilliance and outbursts of productivity we can put
>>>> them down in this stratml plan on the stratnav app so that they ll be a
>>>> record of that. should be useful. I apologize again for being very tired
>>>> but 9 pm is very late for me. especially when I have had a full day incl
>>>> other calls etc-
>>>>
>>>> a few notes below
>>>>
>>>>
>>>> the plan being developed here
>>>>> <https://www.stratnavapp.com/StratML/Part1/413d648b-bd36-418d-af74-e15b0cd8281d/Styled>.
>>>>> if anyone is inspired to chip in pls ask editing pass to Chris on this list
>>>>>
>>>>
>>>>
>>>>> With reference to our Frameworks goal
>>>>> <https://www.stratnavapp.com/StratML/Part1/413d648b-bd36-418d-af74-e15b0cd8281d/Styled#Goal_f1a62bb5-9910-4052-946a-344c0e22272f>,
>>>>> I will endeavor to render in StratML Part 2 format any frameworks that may
>>>>> be discovered and available on the Web.  Please apprise me of any of which
>>>>> you are aware.
>>>>>
>>>> To clarify -  Jorge aske whether we are using any framework of
>>>> reference for our work. which loosely attempts  to study explainability for
>>>> machine learning. That particular goal for our CG may need to be refined a
>>>> little - I dont think a frameworks exists as such (strategies, methods) but
>>>> there is interesting work being done, which I dont think is a framework
>>>> yet. rather a compilation of possible techniques. the effectiveness of
>>>> which may need to be evaluated in the field. So to answer the question,
>>>> methods to address explainability of ML exist but
>>>> a) I dont think are frameworks/strategies - this may be our goal? to
>>>> gather what is in the field and make a framework?
>>>> b) evaluation criteria for the effectiveness of these methods may not
>>>> yet be studied, again
>>>> could this be our work? I am doing some research in this direction but
>>>> not yet conclusive
>>>>  I volunteered to take up this task and shall soon update the plan with
>>>> some links but  I am putting together a presentation-
>>>>  anyone want to contribute?
>>>>
>>>> The caveat is that  statistical pronability and non parametric methods
>>>> in ML are  unpredictable by definition
>>>> https://machinelearningmastery.com/uncertainty-in-machine-learning/
>>>> http://mlg.eng.cam.ac.uk/zoubin/talks/mit12csail.pdf
>>>>
>>>> (this is not my field at all, does anyone care to expand?)
>>>> so I am not sure how to address this unpredictability other than with
>>>> the question
>>>>
>>>> Can we use known symbolilc KR to  explain ML?
>>>>
>>>> In the meantime, this Google site-specific query
>>>>> <https://www.google.com/search?ie=UTF-8&oe=UTF-8&q=AI+framework&btnG=Google+Search&domains=stratml.us&sitesearch=stratml.us>
>>>>> of the StratML collection turns up about 29 hits on the terms "AI
>>>>> framework".  Here's <https://www.modzy.com/platform-and-marketplace/>
>>>>> the top paid ad-placed hit (not yet in the StratML collection but soon to
>>>>> be).
>>>>>
>>>> thanks -  how do we query for ML explainability framework (a bit more
>>>> precise semantically in relation to what we are doing here)
>>>>
>>>> KRID -  Carl is putting forward a category/concept/type  whereby KR is
>>>> identified
>>>> so KRID = some value to describe KR identity
>>>> Carl started by suggesting the top level distinction for this concept
>>>> would be
>>>> declarative/procedural
>>>> i  do not yet have an opinion about this, but would request Carl to
>>>> start sketching out
>>>> the taxonomy for KRID as he envisions it. so that we can have a
>>>> discussion about it
>>>> One considertation is: to what extent is declarative/procedural
>>>> knowledge relevant to support ML?  or is KRID intended for AI in general
>>>> (not ML) . Carl perhaps you should create this as a goal for yourself.Also
>>>> could you clarify the relation of KRID to KAIROS?
>>>>
>>>> Thanks!
>>>>
>>>> PDM
>>>>
>>>
Received on Wednesday, 27 May 2020 01:52:10 UTC

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