Please use this identifier to cite or link to this item: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000093
Title: Case-based reasoning for construction hazard identification: Case representation and retrieval
Authors: Goh, Y.M.
Chua, D.K.H. 
Keywords: Accidents
Construction management
Information technology (IT)
Knowledge-based systems
Risk management
Safety
Issue Date: 2009
Source: Goh, Y.M., Chua, D.K.H. (2009). Case-based reasoning for construction hazard identification: Case representation and retrieval. Journal of Construction Engineering and Management 135 (11) : 1181-1189. ScholarBank@NUS Repository. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000093
Abstract: This paper proposes a case-based reasoning (CBR) approach to construction hazard identification that facilitates systematic feedback of past knowledge in the form of incident cases and hazard identification. This paper focuses on two of the key components of the CBR approach: (1) a detailed knowledge representation scheme, developed based on the modified loss causation model, to codify incident cases and past hazard identification and (2) an intelligent retrieval mechanism that can automatically retrieve relevant past cases. The detailed knowledge representation scheme presented herein is designed to model both incident cases and hazard identification so that both types of knowledge repository can be retrieved simultaneously and adapted for use. The scheme also includes a linguistic structure used to facilitate indexing of cases. The retrieval mechanism is based on the concept of similarity scoring. In this paper, a novel scoring technique based on semantic networks is presented. A case study is presented to demonstrate and validate the proposed approach. © 2009 ASCE.
Source Title: Journal of Construction Engineering and Management
URI: http://scholarbank.nus.edu.sg/handle/10635/65287
ISSN: 07339364
DOI: 10.1061/(ASCE)CO.1943-7862.0000093
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