Ontology Development is Consensus Creation, Not (Merely) Representation

Appl. Ontology Pub Date : 2022-10-21 DOI:10.3233/AO-220273
F. Neuhaus, Janna Hastings
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引用次数: 4

Abstract

Ontology development methodologies emphasise knowledge gathering from domain experts and documentary resources, and knowledge representation using an ontology language such as OWL or FOL. However, working ontologists are often surprised by how challenging and slow it can be to develop ontologies. Here, with a particular emphasis on the sorts of ontologies that are content-heavy and intended to be shared across a community of users (reference ontologies), we propose that a significant and heretofore under-emphasised contributor of challenges during ontology development is the need to create, or bring about, consensus in the face of disagreement. For this reason reference ontology development cannot be automated, at least within the limitations of existing AI approaches. Further, for the same reason ontologists are required to have specific social-negotiating skills which are currently lacking in most technical curricula.
本体的发展是共识的创造,而不仅仅是表象
本体开发方法强调从领域专家和文献资源中收集知识,以及使用本体语言(如OWL或FOL)表示知识。然而,工作的本体论家经常惊讶于开发本体论是多么具有挑战性和缓慢。在这里,我们特别强调那些内容丰富的、打算在用户社区中共享的本体(参考本体),我们提出,在本体开发过程中,一个重要的、迄今为止未被强调的挑战贡献者是在面对分歧时创造或带来共识的需要。因此,至少在现有AI方法的限制下,参考本体的开发不能自动化。此外,出于同样的原因,要求本体论家具备目前大多数技术课程所缺乏的具体的社会谈判技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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