Session	Communiqué Discussion
Duration	1 hour
Date/Time	November 18 2020 17:00 GMT
	9:00am PDT/12:00pm EDT
	5:00pm GMT/6:00pm CET
Convener	Ken Baclawski

Ontology Summit 2020 Communiqué Discussion

Agenda

Continue discussion of the Communiqué for the Ontology Summit 2020: Knowledge Graphs
- The fourth draft is now complete. Except for typos and style requirements of the journal, this should be the final draft.

Conference Call Information

Date: Wednesday, 18-November-2020
Start Time: 9:00am PDT / 12:00pm EDT / 6:00pm CET / 5:00pm GMT / 1700 UTC
- ref: World Clock
Expected Call Duration: 1 hour
The Video Conference URL is https://bit.ly/3i1uPRl
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Participants

Discussion

[12:17] DrRaviSharma: keyword - semantic networks

[12:17] DrRaviSharma: Janet to correct the words if needed

[12:17] DrRaviSharma: Welcome Janet

[12:17] DrRaviSharma: doug welcome

[12:20] gary: Suggestion for last line of Abstract The purpose of this Communique is to leverage and summarize our understanding from the Summit in order to foster...."

[12:22] DrRaviSharma: aspirational potential www

[12:23] DrRaviSharma: relates to word scale

[12:24] Douglas R. Miles: Thank you Ravi

[12:26] DrRaviSharma: janet recalled John+ 1 speaker and table on history Gary Table Improvement

[12:32] gary: Some history in John's presentation https://ontologforum.s3.amazonaws.com/OntologySummit2020/Introduction/KnowledgeGraphs--JohnSowa_20190911.pdf

[12:33] gary: John's section called "Knowledge Graphs Past, Present, and Future"

[12:36] gary: I see a fair amount of this material in John's Feb presentation too -

Knowledge Representation 1900 to 1959: Data representation and formatting.
- From punched cards to FORTRAN, LISP, COBOL, Algol.
1960s: Multiple concurrent programs that use the same data.
- Data structures, databases, locking, virtual memory.
- Theorem provers, formal semantics, specification languages.
1970s: DB wars, conceptual schema, expert systems.
1980s: Knowledge bases, object-oriented systems. *
1990s: Ontologies, statistics, machine translation.
2000s: Semantic Web, large ontologies, need for standards.
2010s: BIG Data, Deep NNs, but no universal ontology.
2020s: What can knowledge graphs do? How? Why?

[12:40] Ram D.Sriram: Marvin Minsky said that focused islands of knowledge connected will lead to general intelligence. The key here is build knowledge graphs in specific domains and not worry about general common sense knowledge. We should probably capture this somewhere in the document.

[12:41] Ram D.Sriram: Ref for Marvin Minsky: Society of Mind

[12:46] DrRaviSharma: I support the tabular form of Gary or the summarized history in the communique. We can rewrite a paragraph or two

[13:00] janet singer: The other whence session was Chaitanya Baru on OKN and the convergence accelerator, which could be seen as a very recent history view of how we got to KG focus

[13:02] DaveWhitten: Did anyone hear my questions on the video call?

[13:04] janet singer: @Dave: No, couldn't hear

[13:04] DaveWhitten: Ram has pointed out the non-mention of Terminologies in the picture, and I think there is also a non-mention of controlled vocabulary. In that case, I would like to have the "Taxonomies Ontologies" label should be "Structure" or "Structured Data".

[13:06] DaveWhitten: Ok. What is the current download location of the Communique ? My copy is months old.

[13:08] DaveWhitten: Would it better to add more citations ?

[13:09] DaveWhitten: I don't know if KGs are already tied to existing structures like http://schema.org or SNOMED CT etc.

[13:10] DaveWhitten: I agree with @ToddSchneider. Talking about KGs only in term of their own references is not as effective for people with existing systems.

[13:11] DrRaviSharma: Just as many organizations have transformed to Enterprise level, similarly scaling existing systems to support future KGs requires a considerable effort.

[13:11] DaveWhitten: @Ravi that is nice but feels like you haven't said enough.

[13:12] DrRaviSharma: this relates to additional point 4 for future section

[13:12] DaveWhitten: "general acceptance of an effective definition of knowledge graph may be depended on commercial support or standardization efforts"

[13:13] DaveWhitten: @Ravi. I am listening. I think you didn't bring up existing Enterprise Data Models, UML, etc.

[13:14] DaveWhitten: @Todd added: Expand 2 to mention more tools to develop KGs. Editing, verifying, etc.

[13:14] DaveWhitten: @Todd - also bring up DevOps issues with your write-up.

[13:14] DaveWhitten: "We hazard a guess...

[13:15] DrRaviSharma: David has a point, we should imply including them

[13:15] DaveWhitten: Janet says 8 gives us a chance to put a stake in the ground.

[13:15] DrRaviSharma: thanks Todd

[13:15] DaveWhitten: @Todd mentioned the Future is being implemented today.

[13:17] janet singer: Propose some possibilities for the future development of KG could be strengthened/sharpened

[13:17] DaveWhitten: the phrase "Stay Negative" is cute.

[13:17] Cas Miles: Thank you all! @Ken HA!

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