Accelerating Knowledge Graph and Ontology Engineering with Large Language Models

TL;DR

This paper explores how large language models can significantly speed up various tasks in knowledge graph and ontology engineering, emphasizing the importance of modular approaches for future research.

Contribution

It introduces LLM-based knowledge graph and ontology engineering as a new research area, highlighting the potential of modular approaches.

Findings

LLMs can accelerate ontology modeling and extension

Modular approaches are crucial for effective LLM integration

Lays groundwork for future research in LLM-driven ontology engineering

Abstract

Large Language Models bear the promise of significant acceleration of key Knowledge Graph and Ontology Engineering tasks, including ontology modeling, extension, modification, population, alignment, as well as entity disambiguation. We lay out LLM-based Knowledge Graph and Ontology Engineering as a new and coming area of research, and argue that modular approaches to ontologies will be of central importance.