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.
Cite
@article{arxiv.2311.11895,
title = {Controlled Natural Languages for Specifying Business Intelligence Applications},
author = {Pedro das Neves Rodrigues and Alberto Rodrigues da Silva},
journal= {arXiv preprint arXiv:2311.11895},
year = {2023}
}
Comments
29 pages, 13 figures, 5 tables. New version of the publication to fix a cross reference error to the Appendix section