Revision as of 17:29, 13 March 2024

Ontology Summit 2024 LLMs, Ontologies and KGs

Fabian Neuhaus Ontologies in the era of large language models
- Abstract: The potential of large language models (LLM) has captured the imagination of the public and researchers alike. In contrast to previous generations of machine learning models, LLMs are general-purpose tools, which can communicate with humans. In particular, they are able to define terms and answer factual questions based on some internally represented knowledge. Thus, LLMs support functionalities that are closely related to ontologies. In this perspective article, I will discuss the consequences of the advent of LLMs in the field of applied ontology.
- Bio: Fabian Neuhaus is a senior researcher at the faculty of computer science at the Otto von Guericke Univerity in Magdeburg, Germany. His main research areas are ontology engineering and ontology languages. He contributed to the development of the Basic Formal Ontology, the Relationship Ontology, ISO Common Logic, and the OMG Distributed Ontology Modeling and Specification Language. Fabian Neuhaus is the vice-president of the International Association for Ontology and its Applications (IAOA). Currently, he is working on neurosymbolic methods for ontology extension and methods for integrating ontological knowledge in machine learning.
- Video Recording

Date: Wednesday, 13 March 2024
Start Time: 9:00am PDT / 12:00pm EDT / 5:00pm CET / 4:00pm GMT / 1600 UTC
- ref: World Clock
- Note: The US and Canada are on Daylight Saving Time while Europe has not yet changed.
Expected Call Duration: 1 hour
Video Conference URL: https://bit.ly/48lM0Ik
- Conference ID: 876 3045 3240
- Passcode: 464312

	Session
ConferenceCall 2024 03 06	LLMs, Ontologies and KGs
ConferenceCall 2024 02 28	Foundations and Architectures
ConferenceCall 2024 02 21	Overview
... further results

	Session
ConferenceCall 2024 03 20	Foundations and Architectures
ConferenceCall 2024 03 27	Foundations and Architectures
ConferenceCall 2024 04 03	Synthesis
... further results

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 ** Abstract: The potential of large language models (LLM) has captured the imagination of the public and researchers alike. In contrast to previous generations of machine learning models, LLMs are general-purpose tools, which can communicate with humans. In particular, they are able to define terms and answer factual questions based on some internally represented knowledge. Thus, LLMs support functionalities that are closely related to ontologies. In this perspective article, I will discuss the consequences of the advent of LLMs in the field of applied ontology.
 ** Bio: Fabian Neuhaus is a senior researcher at the faculty of computer science at the Otto von Guericke Univerity in Magdeburg, Germany. His main research areas are ontology engineering and ontology languages. He contributed to the development of the Basic Formal Ontology, the Relationship Ontology, ISO Common Logic, and the OMG Distributed Ontology Modeling and Specification Language. Fabian Neuhaus is the vice-president of the International Association for Ontology and its Applications (IAOA).  Currently, he is working on neurosymbolic methods for ontology extension and methods for integrating ontological knowledge in machine learning.
+** [https://bit.ly/48Uw52A Video Recording]
 == Conference Call Information ==