This study examines the use of controlled natural languages (CNLs) to specify business intelligence (BI) application requirements. Two varieties of CNLs, CNL-BI and ITLingo ASL (ASL), were employed. A hypothetical BI application, MEDBuddy-BI, was developed for the National Health Service (NHS) to demonstrate how the languages can be used. MEDBuddy-BI leverages patient data, including interactions and appointments, to improve healthcare services. The research outlines the application of CNL-BI and ASL in BI. It details how these languages effectively describe complex data, user interfaces, and various BI application functions. Using the MEDBuddy-BI running example.

翻译：本研究探讨了使用控制自然语言（CNL）来指定商业智能（BI）应用程序需求的方法。采用了两种控制自然语言变体：CNL-BI和ITLingo ASL（ASL）。为英国国家医疗服务体系（NHS）开发了一个假设性的商业智能应用程序MEDBuddy-BI，以展示这些语言的使用方式。MEDBuddy-BI利用患者数据（包括互动和预约信息）来改善医疗服务。研究概述了CNL-BI和ASL在商业智能中的应用，详细说明了这些语言如何有效描述复杂数据、用户界面以及各种商业智能应用程序功能，并通过MEDBuddy-BI运行示例进行了阐述。