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.

翻译：先前提出的模块化本体建模方法（MOMo）试图通过使用模块化模式组合更复杂的概念来模拟人类的类比推理过程。为此，MOMo将本体设计模式组织成可编程查询的设计库，以支持人类和自动化流程加速本体开发。然而，大规模部署MOMo的主要瓶颈在于（迄今为止）即用型本体设计模式的可用性有限。与此同时，大型语言模型已迅速成为常识知识的来源，并在某些情况下取代了搜索引擎。在本文中，我们提出了一个包含104个本体设计模式的集合，这些模式代表频繁出现的名词，从LLM可用的常识知识中策展而成，并组织成一个完全注释的模块化本体设计库，可直接与MOMo配合使用。