Ontology Generation with Large Language Models for Regulatory Processes. Adhering to safety regulations is a knowledge-intensive task that has traditionally been manual, slow, and labour-intensive. Th

Description

Ontology Generation with Large Language Models for Regulatory Processes. Adhering to safety regulations is a knowledge-intensive task that has traditionally been manual, slow, and labour-intensive. This project aims to streamline compliance in the space industry by developing intelligent systems that build structured knowledge bases from vast amounts of technical documents and human interactions. This project expects to develop innovative artificial intelligence solutions and regulatory technologies. Expected outcomes of this project include a set of technologies and a system for automatically building large-scale high-quality ontologies. This should provide significant benefits, such as enhanced productivity through reliable machine assistants in high-criticality domains including the space industry.. Scheme: Linkage Projects. Field: 4609 - Information Systems. Lead: Dr Zhe Wang