This research paper explores the use of ChatGPT in database management. ChatGPT, an AI-powered chatbot, has limitations in performing tasks related to database management due to the lack of standardized vocabulary and grammar for representing database semantics. To address this limitation, the paper proposes a solution that involves developing a set of syntaxes that can represent database semantics in natural language. The syntax is used to convert database schemas into natural language formats, providing a new application of ChatGPT in database management. The proposed solution is demonstrated through a case study where ChatGPT is used to perform two tasks, semantic integration, and tables joining. Results demonstrate that the use of semantic database representations produces more precise outcomes and avoids common mistakes compared to cases with no semantic representation. The proposed method has the potential to speed up the database management process, reduce the level of understanding required for database domain knowledge, and enable automatic database operations without accessing the actual data, thus illuminating privacy protection concerns when using AI. This paper provides a promising new direction for research in the field of AI-based database management.

翻译：本研究探讨了ChatGPT在数据库管理中的应用。作为一款基于人工智能的聊天机器人，ChatGPT因缺乏表示数据库语义的标准化词汇和语法，在执行数据库管理相关任务时存在局限性。为解决这一问题，本文提出了一种方案，即开发一组能够以自然语言表示数据库语义的语法规则。该语法用于将数据库模式转换为自然语言格式，从而为ChatGPT在数据库管理中的应用开辟了新途径。通过案例研究展示了该方案的可行性——利用ChatGPT执行语义集成和表连接两项任务。结果表明，与未使用语义表示的情况相比，采用语义化数据库表示能产生更精确的结果，并避免常见错误。该方法有望加速数据库管理流程，降低数据库领域知识的理解门槛，并在无需访问实际数据的情况下实现自动化数据库操作，从而在使用AI时缓解隐私保护问题。本文为基于AI的数据库管理研究提供了极具前景的新方向。