AI/ML

MODL: A Modular Ontology Design Library. (arXiv:1904.05405v1 [cs.AI])


Pattern-based, modular ontologies have several beneficial properties that
lend themselves to FAIR data practices, especially as it pertains to
Interoperability and Reusability. However, developing such ontologies has a
high upfront cost, e.g. reusing a pattern is predicated upon being aware of its
existence in the first place. Thus, to help overcome these barriers, we have
developed MODL: a modular ontology design library. MODL is a curated collection
of well-documented ontology design patterns, drawn from a wide variety of
interdisciplinary use-cases. In this paper we present MODL as a resource,
discuss its use, and provide some examples of its contents.

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