Chapter Transforming Building Industry Knowledge Management: A Study on the Role of Large Language Models in Fire Safety Planning
Author(s)
Ashkenazi, Ori
Isaac, Shabtai
Giretti, Alberto
Carbonari, Alessandro
Durmus, Dilan
Language
EnglishAbstract
This paper discusses the potential use of AI in general, and large language models (LLMs) in particular, to support knowledge management (KM) in the building industry. The application of conventional methods and tools for KM in the building industry is currently limited due to the large variability of buildings, and the industry’s fragmentation. Instead, relatively labor-intensive methods need to be employed to curate the knowledge gained in previous projects and make it accessible for use in future projects. The recent development of LLMs has the potential to develop new approaches to KM in the building industry. These may include querying a variety of relatively unstructured documents from previous projects and other textual sources of technical expertise, processing these data to create knowledge, identifying patterns, and storing knowledge for future use. A proposed framework is defined for the use of LLMs for KM in construction. We will perform preliminary analyses on how to train models that can generate information and knowledge required to make decisions in the development of specific tasks of fire safety planning
Keywords
Large Language Models (LLMs); Knowledge Management (KM); Fire Safety Planning; Expert Systems (ESs); Artificial Intelligence (AI); Knowledge Graph; OntologyDOI
10.36253/979-12-215-0289-3.73ISBN
9791221502893, 9791221502893Publisher
Firenze University PressPublisher website
https://www.fupress.com/Publication date and place
Florence, 2023Series
Proceedings e report, 137Classification
Linguistics
Literature: history and criticism