Revision as of 01:03, 6 November 2023

Session	Broader thoughts
Duration	1 hour
Date/Time	8 Nov 2023 17:00 GMT
	9:00am PST/12:00pm EST
	5:00pm GMT/6:00pm CET
Convener	Andrea Westerinen and Mike Bennett

Ontology Summit 2024 Broader thoughts

Anatoly Levenchuk, strategist
- Knowledge graphs and large language models in cognitive architectures
- This talk discusses styles of definitions for knowledge graphs (KG) combined with large language models (LLMs). The KG architectures and systems are reviewed, taken from Ontolog Forum's 2020 Communique. A framework is proposed for a cognitive architecture using both LLMa and KGs for the evolution of knowledge during 4E (embodied, extended, embedded, enacted) cognition. In this framework, ontologies are understood as answers to the question "What is in the world?" and can be found in representations that vary across a spectrum of formality/rigor. An example is given of the use of ontology engineering training in management, where upper-level ontologies are given to students in the form of informal course texts (with the goal of obtaining a fine-tuned LLM within the "neural networks" of students' brains) coupled with lower-level ontologies that are more formal (such as data schemas for databases and knowledge graphs).
John Sowa and Arun Majumdar, LLMs, ontologies, and formal systems

Date: Wednesday, 8 November 2023
Start Time: 9:00am PST / 12:00pm EST / 6:00pm CET / 5:00pm GMT / 1700 UTC
- Note that Daylight Saving Time has ended in Europe, Canada and the US.
- ref: World Clock
Expected Call Duration: 1 hour
Video Conference URL: https://bit.ly/48lM0Ik
- Conference ID: 876 3045 3240
- Passcode: 464312

	Session
ConferenceCall 2023 11 01	Demos of information extraction via hybrid systems
ConferenceCall 2023 10 25	A look across the industry, Part 2
ConferenceCall 2023 10 18	A look across the industry, Part 1
... further results

	Session
ConferenceCall 2023 11 15	Synthesis
ConferenceCall 2024 02 21	Overview
ConferenceCall 2024 02 28	Foundations and Architectures
... further results

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 == Agenda ==
-* '''[[AnatolyLevenchuk|Anatoly Levenchuk]]''',
+* '''[[AnatolyLevenchuk|Anatoly Levenchuk]]''', strategist
 ** ''Knowledge graphs and large language models in cognitive architectures''
 ** This talk discusses styles of definitions for knowledge graphs (KG) combined with large language models (LLMs). The KG architectures and systems are reviewed, taken from Ontolog Forum's 2020 Communique. A framework is proposed for a cognitive architecture using both LLMa and KGs for the evolution of knowledge during 4E (embodied, extended, embedded, enacted) cognition. In this framework, ontologies are understood as answers to the question "What is in the world?" and can be found in representations that vary across a spectrum of formality/rigor. An example is given of the use of ontology engineering training in management, where upper-level ontologies are given to students in the form of informal course texts (with the goal of obtaining a fine-tuned LLM within the "neural networks" of students' brains) coupled with lower-level ontologies that are more formal (such as data schemas for databases and knowledge graphs).