Commonsense Ontology Micropatterns
This work provides a practical resource for ontology developers using MOMo, though it is incremental as it builds on existing methodology by sourcing patterns from LLMs.
The paper addresses the limited availability of ready-to-use ontology design patterns for the Modular Ontology Modeling (MOMo) methodology by curating 104 patterns from common-sense knowledge in Large Language Models, resulting in a fully-annotated modular ontology design library.
The previously introduced Modular Ontology Modeling methodology (MOMo) attempts to mimic the human analogical process by using modular patterns to assemble more complex concepts. To support this, MOMo organizes organizes ontology design patterns into design libraries, which are programmatically queryable, to support accelerated ontology development, for both human and automated processes. However, a major bottleneck to large-scale deployment of MOMo is the (to-date) limited availability of ready-to-use ontology design patterns. At the same time, Large Language Models have quickly become a source of common knowledge and, in some cases, replacing search engines for questions. In this paper, we thus present a collection of 104 ontology design patterns representing often occurring nouns, curated from the common-sense knowledge available in LLMs, organized into a fully-annotated modular ontology design library ready for use with MOMo.