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This paper explains how an ontology-based object-oriented processing application and database system can be implemented to process asset management work order budget justifications to detect and analyze patterns of commonality of their business cases.  Central to this effort is incremental creation of an asset management budget justification ontology, followed by implementation as a global object-oriented data model that supports comparative analysis of budget justifications for individual asset management work orders. Focused on the Operations & Maintenance (O&M) business function, this research suggests a way to achieve a unified standard language and suite of intelligent tools for helping businesses analyze and understand justifications for asset management work order investments within and among an organization’s business functions.

Asset Management; Pattern Analysis; Ontology; System Design; Information Systems