Session	Topic Discussion
Duration	1 hour
Date/Time	August 12 2020 16:00 GMT
	9:00am PDT/12:00pm EDT
	5:00pm BST/6:00pm CEST
Convener	Ken Baclawski

Ontology Summit 2021 Topic Discussion

Agenda

Open-ended discussion of the topics for the next summit.

Some possible topics:

Ontology Development suggested by Todd Schneider
Harmonizing Semantic Resources suggested by Gary Berg-Cross
Modern Ontology Engineering suggested by Gary Berg-Cross
Learning Ontologies suggested by Ram D. Sriram
Neurosymbologic Computing suggested by Ram D. Sriram
Knowledge Graphs in depth suggested by Ravi Sharma
Advances in Ontologies suggested by Ravi Sharma
Ontologies and Vocabularies, Terms, and Beyond suggested by Ravi Sharma
Search, Refinement, Semantics and Knowledge Graphs suggested by Ravi Sharma
Learning from others not in Ontolog Forum, such as EDM, WWW, OMG, FIBO suggested by Ravi Sharma

Video Recording

Conference Call Information

Date: Wednesday, 12-August-2020
Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CEST / 5:00pm BST / 1600 UTC
- ref: World Clock
Expected Call Duration: 1 hour
The Video Conference URL is https://bit.ly/3i1uPRl
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Participants

Discussion

[12:22] MikeBennett: This harmonizing / gradient idea feeds nicely into our SWAO idea of trying to better characterize ontologies. Eight now a lot of people are using terminologies instead of concept ontology because they've been told ontology is an OWL file for an application for inference processing, only.

[12:24] Russell Reinsch: Data doesn't operate. Cannot interoperate.

[12:25] Russell Reinsch: Is harmonizing more like normalizing?

[12:28] Douglas R. Miles: My mic isn't working so I will need to use chat to talk

[12:29] Douglas R. Miles: But I feel these topics are specific enough they are definitely ideal for presentations.. but a Theme they are very specific

[12:29] Ken Baclawski: @[12:24] Russell Reinsch: I was thinking in terms of "Ontology Summit 2016 : Framing the Conversation: Ontologies within Semantic Interoperability Ecosystems"

[12:30] Ken Baclawski: Possible topic: "Harmonizing Semantic Resources"

[12:30] Russell Reinsch: Ok

[12:31] Douglas R. Miles: I agree with what Russel said, as a General theme we could reuse "Harmonizing Semantic Resources"

[12:33] Douglas R. Miles: (I am grateful still of Gary is the one putting forth ideas we can think about)

[12:35] MikeBennett: Ontology Engineering is the key term here. Our remit is to show some leadership in recognizing and articulating new things that contribute to that discipline.

[12:36] MikeBennett: The interoperability agenda is something we have already covered. We're not here to teach what is already known but to research.

[12:39] Douglas R. Miles: "Tools that Ontologist may use to work together"

[12:40] MikeBennett: Address why domain people are still building controlled vocabularies? What don't they know about concept formation?

[12:40] MikeBennett: +1 to everything on Gary's 2nd slide

[12:43] DrRaviSharma: Ken please show what Gary sent rather than peoples images on zoom

[12:45] Ram D.Sriram: Learning Ontologies could be a topic

[12:47] BobbinTeegarden: Could interoperability please include human interfaces to ontologies: v

[12:48] MikeBennett: @Bobbin +1

[12:49] BobbinTeegarden: Human simple browsing and visualization (of the full graph), and query with something SIRI-like (simple, not SQLlike)

[12:51] Ram D.Sriram: Another topic: Neurosymbolic Computing

[12:51] BobbinTeegarden: Ontologies are not yet SMEable, nor Browse-able, nor interactively created or edited visually. Adoption would be accelerated with something intuitive and accessible.

[12:52] Douglas R. Miles: When we see these as Tracks and not themes these are very great

[12:53] ToddSchneider: Bobbin, 'SMEable'??

[12:54] Douglas R. Miles: SME = Subject Matter Expert

[12:54] MikeBennett: Neuro Symbolic - check out Igor Aleksander of Imperial College e.g Aleksander and Mmorton, mid 90s.

[12:54] ToddSchneider: Ram, Could 'Learning Ontologies' be modified to have a system 'learn' to use an ontology (i.e. to modify itself)?

[12:55] ToddSchneider: Bobbin, I assumed SME referred to Subject Matter Expert, but what does the 'able' suffix refer to?

[12:55] DrRaviSharma: neurosymbolic is combination of Neural networks and ?

[12:56] DrRaviSharma: welcome Todd

[12:56] MikeBennett: Melanie Mitchell - spoke today at ER20 - possible speaker?

[12:57] DrRaviSharma: Todd you mean self learning ontologies?

[12:57] Douglas R. Miles: Bobbin, SMEable = Accessible to the SME?

[12:58] DrRaviSharma: Smart materials fix cracks and fractures but how do ontologies? One way would be design patterns matching etc.

[13:00] ToddSchneider: Bobbin, SME's should not be left alone in developing an ontology.

[13:01] Douglas R. Miles: "Tools that Ontologists may use to work together" By Douglas

[13:02] Douglas R. Miles: (For Ken)

[13:02] ToddSchneider: Gary, are your slides available?

[13:02] MikeBennett: Neuro symbolic computing - also requires that we know how to characterize ontologies so we know the right kind to use. So it fits the Ontology Engineering remit

[13:02] ToddSchneider: Ravi, no. I had self-modifying systems.

[13:02] DrRaviSharma: thanks Ram for clarifying neural networks and ontologies

[13:03] BobbinTeegarden: @Doug yes, something you could easily teach a SME (non-technical domain person) to do, like they now develop class diagrams on the fly to show their 'data'/information. Something like a mind map or class diagram that underneath generates good ontologies...

[13:03] Mark Underwood: Roughly speaking, my suggestion was related to Design patterns for Ontologist (not "ontology") collaborations with SME's / domain experts

[13:03] DrRaviSharma: Mike - thanks for many inputs, will hopefully catch them in recording.

[13:04] BobbinTeegarden: @Mark drag and drop ontology design patterns would be a great addition

[13:05] DrRaviSharma: Todd - self modifying against ? a pattern, standard design or foundation?

[13:07] DrRaviSharma: Todd we have perhaps not yet reached a stage of evolution where automatic ontology development happens like mutation etc?

[13:10] BobbinTeegarden: KADS Patterns were little semantic graph patterns that can be combined in many ways to create 'thoughts' -- micro-semantic patterns, reuseable in the small

[13:10] DrRaviSharma: Ken I would be interested in workshop invite.

[13:11] DrRaviSharma: Ravi is copying from Zoom chat

[13:11] BobbinTeegarden: Go look again at KADS out of Euro. Esprit Consortium from 90s...

[13:11] DrRaviSharma: [Post by Gary Berg-Cross on the Zoom chat]

Harmonizing Semantic resources topic

Builds on recent summits.
Think of the semantic gradient. In the past dictionaries and lexica were powerful building blocks but the success of the Semantic Web since we started has produced a large quantity of available "structured data" that can be leveraged for various purpose such as KG apps.
But we need all of them and they are diverse.
Ontologies have some advantages but people are still building controlled vocabaularies.
ML can now extract some knowledge from text and data sets to help build semantic resources.

Modern Ontological Engineering topic

Ontologies are products of Ontological Engineering.
The practice has changed in part because the products have changed and both are more mature.
Example ontology modules vs domain ontologies or reference ontologies
How are KGs built in comparison to ontologies?
Are there different standards?
Relations and best practices are not well understood.

Resources

Video Recording

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