From OntologPSMW

Jump to: navigation, search
[ ]
Session John Sowa
Duration 1.5 hour
Date/Time 24 Mar 2021 16:00 GMT
9:00am PDT/12:00pm EDT
4:00pm GMT/5:00pm CET
Convener KenBaclawski
Track General


Ontologies are a rich and versatile construct. They can be extracted, learned, modularized, interrelated, transformed, analyzed, and harmonized as well as developed in a formal process. This summit will explore the many kinds of ontologies and how they can be manipulated. The goal is to acquaint both current and potential users of ontologies with the possibilities for how ontologies could be used for solving problems.     (2A)

Agenda     (2B)

Conference Call Information     (2C)

Attendees     (2D)

Discussion     (2E)

[12:11] Gary Berg-Cross: John said that everyone is using NL (to communicate) which is certainly important. However, I would add that everyone is also using a group of mental models, which massively includes our background and unconscious knowledge.     (2E1)

[12:18] Gary Berg-Cross: The quote is from Terry Rankin, not Raskin. He said that any one of those tools, by itself, is a tremendous aid to productivity, but any two of them together will kill you. In other words, we have "Tool exhaustion".     (2E2)

[12:30] ToddSchneider: Are 'thematic roles' (in Existential Graphs) similar, or equivalent, to Guizzardi's Relators?     (2E3)

[12:48] janet singer: Questions for John: As you have pointed out, splitting linguistics into syntactics, semantics & pragmatics was introduced by Charles Morris loosely based on the work of Peirce. What does it mean to try establish a Semantic Web apart from a Pragmatic Web? Would it be better to ditch Morris's categories and go back to Pierce's full view of sign relations to develop tools for a Semiotic Web?     (2E4)

[12:50] RaviSharma: Arun Welcome     (2E5)

[12:51] janet singer: In other words, a Semantic Web would just be a fragment of the Morris categories, which themselves are a watered down (and distorted) version of Peirce     (2E6)

[13:06] RaviSharma: Ken - Please ask Arun to slightly expand on his slide on radar.     (2E7)

[13:08] Ken Baclawski: @Ravi: There were several slides that mentioned radar, could you be more specific?     (2E8)

[13:12] RaviSharma: Arun mentioned that we can connect with him on LinkedIn at     (2E9)

[13:13] RaviSharma: @Ken - any that are after the first while they are speaking unless you will send them to us later?     (2E10)

[13:13] Douglas R. Miles: Arun, how to you choose the 22 columns and rows?     (2E11)

[13:15] janet singer: Question for Arun: Is your work related/relatable to DisCoCat QNLP (Categorical compositional distributional semantics Quantum Natural Language Processing), quantum-inspired, and expected     (2E12)

[13:16] janet singer: It benefits from implementation on a quantum computer.     (2E13)

[13:17] RaviSharma: Arun, is there a semantic profile change in your slide before and after the events such as Hitler or Osama what are you trying to show? What aspect of semantic or neuro semantic meaning?     (2E14)

[13:26] RaviSharma: Arun - I am reviewing your work on Quantum AI/ML in neuro semantics.     (2E15)

[13:26] RaviSharma: Why the word Quantum?     (2E16)

[13:28] RaviSharma: Are you using quantum in digital packets or patterns (discrete) sense?     (2E17)

[13:29] RaviSharma: Quantum theory as a mathematical tool is probably different than that in Particle wave physics!     (2E18)

[13:29] TerryLongstreth: Have to leave. This has all been very fascinating, wish I could stay longer.     (2E19)

[13:30] RaviSharma: But connecting it to cognitive mind is even more challenging! It is very challenging for physicist?     (2E20)

[13:30] RaviSharma: Arun mentioned JHU and Carnegie connection, important to learn more about.     (2E21)

[13:33] RaviSharma: are you only using computer type digital patterns bet graphs and quantum effects? or the meaning also?     (2E24)

[13:36] janet singer: Here's some pre-publication material that Coecke made available     (2E25)

[13:36] RaviSharma: State transitions have corresponding physics such as change in electron orbit and it has semantic in the phenomena about electrons but in neuro semantics how will you relate It?     (2E26)

[13:36] Robert Rovetto: I have a pdf of the book; it's interesting, very visual.     (2E27)

[13:37] janet singer: Great field to get into as Arun said.     (2E28)

[13:38] RaviSharma: But like clustering we do not know a priori which cluster belongs to what resources?     (2E29)

[13:39] RaviSharma: Similarly Quantum state transition has to relate to a phenomena such as tunneling is imp for materials and superconductivity but how can we relate it to semantics?     (2E30)

[13:40] Jack Park: @Robert where did you find the pdf?     (2E31)

[13:41] janet singer: Very promising new general model of meaning inspired by QM, and there seems to be financial support because promise of quantum computing is of interest     (2E32)

[13:41] Marc-Antoine Parent: Thank you very much!     (2E33)

[13:41] RaviSharma: Ken Many thanks     (2E34)

[13:41] Cas Miles: Thank you all so much!     (2E35)

[13:42] RaviSharma: John and Arun many thanks for an exciting presentation, logic and explanations, again thanks     (2E36)

[13:42] RaviSharma: Janet and Todd great Qs and also from other colleagues.     (2E37)

Resources     (2F)

Previous Meetings     (2G)

Next Meetings     (2H)