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Knowledge Prompting: How Knowledge Engineers Use Large Language Models

A study on the use of large language models in knowledge engineering.

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Knowledge Prompting: How Knowledge Engineers Use Large Language Models

By Elisavet Koutsiana, Johanna Walker, Michelle Nwachukwu, Zhang, Bohui, Albert Meroño-Peñuela, Elena SimperlarXiv (Cornell University)
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The paper explores how knowledge engineers utilize large language models to support semi-automatic tasks. A multimethod study was conducted during a KE hackathon to investigate participants' views, challenges, and skills needed for integrating LLMs into their practices.

The findings highlight the potential of prompting as a valuable skill for knowledge engineers working with LLMs.

Abstract

The paper explores how knowledge engineers utilize large language models to support semi-automatic tasks. A multimethod study was conducted during a KE hackathon to investigate participants' views, challenges, and skills needed for integrating LLMs into their practices. The findings highlight the potential of prompting as a valuable skill for knowledge engineers working with LLMs.

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knowledge engineeringlarge language modelspromptingkg constructionresponsible aiKnowledge GraphsLarge Language ModelsAI AgentsContent Engineering
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Knowledge Prompting: How Knowledge Engineers Use Large Language Models | Aramai