Ontology-based job hazard analysis support

Han Hsiang Wang, Frank Boukamp

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering - Computing in Civil Engineering
Pages676-685
Number of pages10
DOIs
StatePublished - 2009
Event2009 ASCE International Workshop on Computing in Civil Engineering - Austin, TX, United States
Duration: 24 Jun 200927 Jun 2009

Publication series

NameProceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering
Volume346

Conference

Conference2009 ASCE International Workshop on Computing in Civil Engineering
Country/TerritoryUnited States
CityAustin, TX
Period24/06/0927/06/09

Keywords

  • Construction Management
  • Job Hazard Analysis
  • OSHA
  • Ontology
  • Safety

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