Zhong, B; Li, H; Luo, H; Zhou, J; Fang, W and Xing, X (2020) Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images. Journal of Construction Engineering and Management, 146(4): 04020013, ISSN 0733-9364
Abstract
Identifying potential hazards of construction project is a data-intensive process that involves various types of information such as site data, specifications, and engineering documents. How to effectively convert the information into a machine processable format for safety management is a challenging task. To address this problem, in this paper, combining the HowNet and specific taxonomies from the relevant construction specifications, a semantic modeling approach is developed for the proactive construction hazard identification from images. A semantic scoring system is then introduced for quantifying the similarities between images, via comparing their annotations with the construction hazard specification. Furthermore, an image processing framework is developed to semantically annotate site images and further automatically classify the images into the categories. In this way, the potential hazards implied in the images can be identified automatically. Examples are developed to demonstrate the feasibility of the approach. The outcomes of this study have offered an alternative method to enhance site safety management on site.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | hazards identification; image; image retrieval; ontology; safety |
| Index terms: | construction project, ontology, specification, safety management, image processing, site safety management, taxonomies, modelling, hazard identification, documents |
| Subjects: | analytical methods, education and knowledge transfer, professional development, financial risk, operations management, contractual condition, computer vision, production management, occupational health and safety management, knowledge organization and systems |
| Topics: | Site Management, Project Management, Research Practice, Digital Applications, Cost Management, Health and Safety, Contract Administration, Engineering Principles, Information Management |
| Descriptive scope: | 3 PCT |
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