Template Libraries for Industrial Asset Maintenance: A methodology for scalable and maintainable ontologies

The user case on the "is my maintenance strategy correct?" question underpins all the projects we are currently doing across the NLP-TLP and CTMTDS T2

The work that the Theme 1 team is doing on annotation: Michael Stewart is focusing on aggregation, Ziyu Zhao is combining probability and logic, and Tyler Bikaun is making annotation more efficient. All this work is going to contribute to getting data tagged and machine readable in work orders and FMEA's so we can use the templates described in this paper to do the proposed reasoning.