Large language models for conceptual modeling: Assessment and application potential

IF 2.7 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Veda C. Storey , Oscar Pastor , Giancarlo Guizzardi , Stephen W. Liddle , Wolfgang Maaß , Jeffrey Parsons , Jolita Ralyté , Maribel Yasmina Santos
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引用次数: 0

Abstract

Large Language Models (LLMs) are being rapidly adopted for many activities in organizations, business, and education. Included in their applications are capabilities to generate text, code, and models. This leads to questions about their potential role in the conceptual modeling part of information systems development. This paper reports on a panel presented at the 43rd International Conference on Conceptual Modeling where researchers discussed the current and potential role of LLMs in conceptual modeling. The panelists discussed applications and interest levels and expressed both optimism and caution in the adoption of LLMs. Suggested is a need for much continued research by the conceptual modeling community on LLM development and their role in research and teaching.
用于概念建模的大型语言模型:评估和应用潜力
大型语言模型(llm)正迅速被组织、商业和教育中的许多活动所采用。它们的应用程序中包含生成文本、代码和模型的功能。这就引出了关于它们在信息系统开发的概念建模部分中的潜在作用的问题。在第43届概念建模国际会议上,研究人员讨论了法学硕士在概念建模中的当前和潜在作用。小组成员讨论了法学硕士的应用和兴趣水平,并对法学硕士的采用表示乐观和谨慎。建议概念建模社区对法学硕士发展及其在研究和教学中的作用进行更多的持续研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data & Knowledge Engineering
Data & Knowledge Engineering 工程技术-计算机:人工智能
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 months
期刊介绍: Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems.
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