@inproceedings{c4699a8aadf64c3d9e717b84583b4491,
title = "Ontology-based job hazard analysis support",
abstract = "The Occupational Safety and Health Administration (OSHA) recommends performing Job Hazard Analysis (JHA) for construction activities to highlight and react to potential hazards. JHA commonly requires having brainstorming sessions to identify steps and associated hazards within construction activities. A company's personnel involved relies on their experience - and often also on the company's internal knowledge represented in the form of safety rules. The complexity and time consuming nature of JHA prevent safety personnel to react quickly to changes in the construction and the schedule. This paper presents a framework aiming to improve access to a company's JHA knowledge. The framework uses ontologies for structuring knowledge about jobs, job steps and hazards. It also includes an ontological reasoning mechanism for identifying safety rules applicable to a given activity. The framework has been tested using a test case. The results of this test case are discussed in this paper and conclusions for future research are drawn.",
keywords = "Construction Management, Job Hazard Analysis, OSHA, Ontology, Safety",
author = "Wang, {Han Hsiang} and Frank Boukamp",
year = "2009",
doi = "10.1061/41052(346)67",
language = "???core.languages.en_GB???",
isbn = "9780784410523",
series = "Proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering",
pages = "676--685",
booktitle = "Proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering - Computing in Civil Engineering",
note = "2009 ASCE International Workshop on Computing in Civil Engineering ; Conference date: 24-06-2009 Through 27-06-2009",
}