Ontology definition and cognitive analysis in ocupational health and security (OHS) environments

Abstract

Events recognition is central to occupational health and safety OHS, since the system can selectively start proper prediction services according to the user current situation and past knowledge taken from huge databases. In this sense, a fusion framework that combines data from multiples sources to achieve more specific inferences is needed. Our proposed model provides the big picture about risk analysis for that employee at that place in that moment in a real world environment. Our main contribution lies in building a causality model for accidents investigation by means of a well-defined spatiotemporal constraints on offshore oil industry domain.

A spatial data integration and visualization approach for occupational health and safety risks management: Application to Algerian electricity and gas company

“…This ontology provides a common semantic vocabulary and a basic formal model of the OHS domain. In Sanchez‐Pi et al (2015), authors proposed using a data‐fusion framework for risk prevention in the offshore oil industry. This framework provides users with contextual information about accidents and their causes based on their location and profile.…”

A new emergency decision support system: the automatic interpretation and contextualisation of events to model a crisis situation in real-time

“…Abbreviations: N No, Y Yes, (n of 1) n attributes of 1 concept. [28] 3 (sensors of an underwater vehicle) n of 1 (fault) Y N [29] n (traffic data) n of 1 (road) Y N [30] 2 (speed, location of vessels) n of 1 (threat) Y N [31,32] 3 (time, position, role) n of 1 (anomaly) Y N [33] 4 (!door, time, presence, light) 1 of 1 (!room) Y N [34,35] 4 (time, location, weather, company) 1 of 1 (!trip) Y N [36] 3 (weather, energy, location) n of 1 (task) Y N crisis (information variety & velocity), (iv) automatically update the model of an on-going crisis situation by instantiating a metamodel common to all kinds of crisis situations (information variety), (v) display the corresponding common operational picture to support the decision-making of the emergency managers and (vi) allow the emergency managers to manually edit available information (information veracity)?…”