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
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