Publications / 2018 Proceedings of the 35th ISARC, Berlin, Germany

Analysis of Construction Accidents Based on Semantic Search and Natural Language Processing

Seonghyeon Moon, Taekhyung Kim, Bon-Gang Hwang and Seokho Chi
Pages 785-790 (2018 Proceedings of the 35th ISARC, Berlin, Germany, ISBN 978-3-00-060855-1, ISSN 2413-5844)
Abstract:

Retrieving proper accident cases and extracting risk factors from them are crucial for construction safety management. However, the process was often challenging due to unstructured properties of text data in accident reports, which caused limited, inefficient, and non-consistent information retrieval and knowledge gathering. To overcome the problems, this research aimed at developing a semantic search system to retrieve proper accident cases based on user’s deliberate intentions and to extract safety risk factors automatically using Natural Language Processing. The performance of the system prototype was evaluated by construction practitioners with promising results for more usable construction accident database development (i.e., thesaurus) and efficient accident analysis using the thesaurus.

Keywords: Construction Accident, Safety Management, Semantic Search, Natural Language Processing