Commonsense Ontology Micropatterns
CoRR(2024)
摘要
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.
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