Framework for Ontology-centered Modeling and Integration of Services in Web-based Processes

Zghal, Sami; Nguifo, Engelbert Mephu; Kamoun, Karim; Yahia, Sadok Ben; Slimani, Yahya

doi:10.1109/dexa.2007.12

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Several works have proposed ontology‐based methods in the OHS domain. Galatescu et al (2010) have modeled a specific ontology of occupational risk prevention whose objective was to integrate it into educational programs that provide practical employee training on occupational risk prevention. Lawrynowicz and Lawniczak (2015) have developed OSHDO‐Core ontology.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

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

Haroun

Ghomari

2023

E J Info Sys Dev Countries

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In the safety 4.0 era, occupational health and safety (OHS) related data has become one of the most valuable assets for organizations. Risk Management in the OHS field is a data‐driven process. However, geospatial data has not been fully considered and few works have used visualization for decision‐making purposes. Our research was conducted using a design science research methodology. It is a methodology for creating and evaluating IT artifacts to solve identified organizational problems. We used Wang's safety intelligence framework and the recommendations of the ISO 45001 model from extant literature to inform the Design. While creating our artifact, we chose to make an inventory of occupational risk prevention practices in Algeria. A qualitative study using interviews with experts in the field consolidated the requirements for such a system. The key findings from the analysis of collected data state that the development of safety data‐driven decision‐making requires top management support and involvement, which is in line with previous studies. A second concern is the availability of spatial data. The designed artifact is an approach called spatial data integration and visualization approach for occupational health and safety management systems (SDIVA‐OHSMS). SDIVA‐OHSMS provides a practical approach for organizations in charge of OHS services to implement OHS data‐driven decision‐making solutions highlighting spatial and semantic dimensions. The evaluation was performed through a representative case study within the Algerian electricity and gas company (Sonelgaz), employing expert opinion and software implementation. As a result, experts concluded that such systems could provide a more comprehensive and accurate view of occupational health issues and guide further prevention policies.

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Section: Problem Statement and Related Workmentioning

confidence: 99%

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

Haroun

Ghomari

2023

E J Info Sys Dev Countries

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Similarity recognition for OWL-based action recipes in RoboEarth

Sun¹

2013

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Using Ontologies in eHealth and Biomedicine

Alexandru

Filip

Galatescu

et al.

Advances in Bioinformatics and Biomedical Engineering

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The goal of the chapter is to enhancement the medical system performance and provides a overview of available healthcare system. It is also provide a idea for simulation of different results, activities, systems, groups, institutions, theories, the benefits ontologies bring to the e-Health and biomedicine domains and the effort already given in this respect. This system is seen as an application of ontologies in the occupational health domain and representation and integration of the semantic and modeling layers of a system based on ontologies for the prevention of occupational risks.

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Framework for Ontology-centered Modeling and Integration of Services in Web-based Processes

Cited by 3 publications

References 12 publications

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

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

Similarity recognition for OWL-based action recipes in RoboEarth

Using Ontologies in eHealth and Biomedicine

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