Meeting 2024-02-28

Attendees: @Michael Mustillo @robert karban @Esma Karagöz @Olivier Cornes

Activity results:

  • AI4-17: @Olivier Cornes 's diagram was accepted by me showing the top-level of what he intends to attack with AI. @Esma Karagöz is thinking more generalizing for any analysis of a system, not necessarily aerospace

  • The general approach is great, but can we use Olivier’s intent to provide a practical example?

    • Paper reqts need foundation and practical demonstration

    • What aspects should we attack in what order?

image-20240227-171206.png
image-20240227-171231.png
  • What are the objectives for our paper:

    • Create a SysML v2 model?

    • Create KGs form system descriptions? <--- this is the main part, which needs examples.

    • Should we work backwards from Research Area 1, to the middle blue part?

    • Agree on the achieving the blue part.

    • Don’t forget paper objectives, see Robert message

    • We are aiming for a technical, not vision paper, see again Robert’s message, requires rigorous formal proof:

      • @Esma Karagöz No one in aero industry use an LLM for analysis, only NLP, which provides some novelty

    • Proposed objective:

      • Create several, rigorously proven extractions of correct KGs from system descriptions using LLMs, e.g. aircraft descriptions, etc., that performs in a useful manner for practical purposes, e.g. in safety engineering?

        • We will need to refine this, and then once agreed, move backwards from there to what we need to do.

        • How will we measure this? Precision/recall/F1, etc.

  • Use of Gollie restricts us to NER only, per @Olivier Cornes is this the only way?

  • What is a profile in our discussions? See also Robert’s SysML diagrams.

  • What are the relations we are trying to extract?

  • We should focus on creating KGs with next step, after the first paper into real world applications

    • We could use aircraft descriptions to add some practicality

    • How do we deal with adjacency vs zoning in how we are approaching

      • Or is the adjacency exercise simply identification of failure modes, which is also still valuable

      • Maybe we can just find interactions between aircraft functions represented by their components

      • Need to determine how to validate all this

      • @Michael Mustillo @Olivier Cornes to create sample data with ground truths for evaluation

        • We’ll need to agree on how the ground truth looks so we are consistent with each other

        • where to store it? Confluence is terrible

    • @Olivier Cornes will be the Mistral evaluator

    • @Esma Karagöz will be the Gollie evaluator

    • @Michael Mustillo will be the Orca2 evaluator