Summary of Iof-maint — Modular Maintenance Ontology, by Melinda Hodkiewicz et al.
Iof-maint – Modular maintenance ontology
by Melinda Hodkiewicz, Caitlin Woods, Matt Selway, Markus Stumptner
First submitted to arxiv on: 8 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research presents a publicly-available maintenance ontology called Iof-maint. It’s a modular ontology that aligns with the Industrial Ontology Foundry Core (IOF Core) and contains 20 classes and 2 relations. The ontology provides a set of terms specific to maintenance, used in various data-driven use cases. Iof-maint supports OWL DL reasoning, is documented, and is actively maintained on GitHub. The paper describes the evolution of the reference ontology based on extracting common concepts from application ontologies working with industry maintenance data. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research makes a publicly-available maintenance ontology called Iof-maint. It’s like a dictionary for maintenance workers to use in their jobs. The ontology has 20 categories and 2 ways to relate things. It helps machines understand maintenance terms used in many different situations. The researchers explain how they developed the ontology by looking at other ontologies that work with industry data. |
