Abstract
This paper described the initial and ongoing development of a tool that facilitates improved knowledge discovery within maintenance data by transforming data records into ontology-based event graphs and providing several filterable visualizations of event sequences through time. We accomplish several major preprocessing objectives, such as records-to-ontology event mapping and the resolution of date conflicts in the aggregated records of events.
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