• DocumentCode
    1852621
  • Title

    Ontology-based Operational Risk Management

  • Author

    Lykourentzou, Ioanna ; Papadaki, Katerina ; Kalliakmanis, A. ; Djaghloul, Y. ; Latour, T. ; Charalabis, I. ; Kapetanios, Epaminondas

  • Author_Institution
    Centre de Rech. Public Henri Tudor, Luxembourg, Luxembourg
  • fYear
    2011
  • fDate
    5-7 Sept. 2011
  • Firstpage
    153
  • Lastpage
    160
  • Abstract
    Operational risk management (ORM) is a process of critical importance to organizations. It refers to the systematic identification, assessment and mitigation of operational risks, i.e. risks stemming from processes, people, systems or external events. ORM is performed through different systems in the different business units of the enterprise - however a unified view of the operational risk management information is needed to enable its seamless exchange and horizontal expertise sharing. At the level of corporate governance this is already addressed but, at the technical level this issue is still open. As a solution in this paper we propose the development of an ORM ontology. The proposed ontology aims at facilitating ORM information sharing across organizational unit boundaries and at the enabling of computational inferences over the heterogeneous ORM applications of the organization.
  • Keywords
    inference mechanisms; information management; ontologies (artificial intelligence); risk management; ORM information sharing; ORM ontology; computational inferences; ontology based operational risk management; organizational unit; risk assessment; risk identification; risk mitigation; risk stemming; Educational institutions; Monitoring; Ontologies; Organizations; Risk management; Standards organizations; Ontologies; Operational Risk; Operational Risk Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing (CEC), 2011 IEEE 13th Conference on
  • Conference_Location
    Luxembourg
  • Print_ISBN
    978-1-4577-1542-6
  • Electronic_ISBN
    978-0-7695-4535-6
  • Type

    conf

  • DOI
    10.1109/CEC.2011.18
  • Filename
    6046967