Dhakal, S; Zhang, L and Lv, X (2022) Ontology-based semantic modelling to support knowledge-based document classification on disaster-resilient construction practices. International Journal of Construction Management, 22(11), pp. 2059-2078. ISSN 1562-3599
Abstract
Construction sites can be particularly vulnerable to natural disasters such as hurricanes. They include incomplete structures that are still under construction, temporary structures and unsecured equipment that could be damaged during disasters, and hazardous materials that require special handling and storage. Therefore, to facilitate more resilient built environments, there is sorely a need to equip construction professionals with knowledge on disaster-resilient construction practices (DRCPs). To address this need, this paper proposes an ontology-based semantic model for representing and reasoning about the knowledge of DRCPs in construction job sites. The model is designed to serve as a foundation for a knowledge-based decision-making system on DRCPs. The model was implemented in a document classification module of the system, and the results of the experiment indicate that the model is applicable in supporting the classification of DRCP knowledge. The proposed model facilitates effective and efficient decision-making towards more resilient construction sites.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | disaster-resilience; document classification; knowledge management; knowledge-based decision-making; ontology; semantic model |
| Index terms: | experiment, construction professional, module, construction site, modelling, built environment, knowledge management, natural disaster, ontology, reasoning, decision-making |
| Subjects: | cognitive psychology, decision analysis, data collection methods, environmental hazards, work location, infrastructure and transport systems, education and knowledge transfer, analytical methods, architectural elements, professional development |
| Topics: | Risk Management, Research Practice, Design Practice, Engineering Principles, Sustainability, Site Management, Information Management, Urban Studies |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here