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ConferenceCall 2023 11 08: Difference between revisions

Ontolog Forum
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* '''[[AnatolyLevenchuk|Anatoly Levenchuk]]''',  
* '''[[AnatolyLevenchuk|Anatoly Levenchuk]]''',  
** ''Knowledge graphs and large language models in cognitive architectures''
** ''Knowledge graphs and large language models in cognitive architectures''
** The talk will transfer the style of the definitions for knowledge graphs (KG), their architectures and their systems, taken from Ontology Summit Communiqué 2020, for large language models (LLM). The talk proposes a framework for cognitive architectures based on the use of LLM and KG for joint use in the Popperian 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 with 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 (expected to result from fine-tuned LLMs in the "wet" neural networks in the heads of human students) and lower-level ontologies that are more formal and developed as data schemas for databases as well as knowledge graphs. Types (taken from a student’s LLM in their head) in the upper ontology govern types of the middle ontology and the data that resides in corporate DBMS systems.
** 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).  
<!-- ** [https://bit.ly/3sljmXt Slides] -->
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* '''[[JohnSowa|John Sowa]]''' and '''[[ArunMajumdar|Arun Majumdar]]''', LLMs, ontologies, and formal systems
* '''[[JohnSowa|John Sowa]]''' and '''[[ArunMajumdar|Arun Majumdar]]''', LLMs, ontologies, and formal systems

Revision as of 01:01, 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

Agenda

  • Anatoly Levenchuk,
    • 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

Conference Call Information

  • 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

The unabbreviated URL is: https://us02web.zoom.us/j/87630453240?pwd=YVYvZHRpelVqSkM5QlJ4aGJrbmZzQT09

Participants

Discussion

Resources

Previous Meetings

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

Next Meetings

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