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Developing an ontological explosion knowledge base for business continuity planning purposes.

Iraj Mohammadfam, Omid Kalatpour, Rostam Golmohammadi

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    Summary

    Industrial accidents pose significant business continuity risks. This study introduces an ontological explosion knowledge base (EKB) using Protégé software, enhancing accident knowledge retrieval and risk management.

    Keywords:
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    Area of Science:

    • Industrial safety
    • Knowledge management
    • Ontology engineering

    Background:

    • Industrial accidents threaten business continuity and organizational reputation.
    • Existing accident databases often lack semantic features and present static data.
    • Effective risk management requires comprehensive knowledge of accident causes and prevention.

    Purpose of the Study:

    • To develop a structured knowledge base for explosion accidents using Protégé software.
    • To improve information retrieval for industrial accident data.
    • To create a semantically rich knowledge base for enhanced risk management.

    Main Methods:

    • Utilized Protégé software to build an ontological knowledge base.
    • Followed a knowledge management process model.
    • Focused on the domain of explosion accidents.

    Main Results:

    • Developed an Ontological Explosion Knowledge Base (EKB).
    • The EKB offers improved information retrieval capabilities over traditional databases.
    • The EKB possesses semantic features to overcome search limitations.

    Conclusions:

    • The developed EKB enhances the retrieval of explosion accident knowledge.
    • This ontological approach supports better industrial risk management.
    • The EKB provides a foundation for advanced accident knowledge applications.