AINov 14, 2024

Accelerating Knowledge Graph and Ontology Engineering with Large Language Models

arXiv:2411.09601v134 citationsh-index: 13J Web Semant
Originality Synthesis-oriented
AI Analysis

This addresses efficiency challenges for researchers and practitioners in knowledge engineering, though it is incremental in applying existing LLMs to this domain.

The paper tackles the problem of accelerating knowledge graph and ontology engineering tasks, such as modeling and alignment, by leveraging large language models, proposing this as a new research area with modular approaches as key.

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.

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