Towards a moderate realist foundation for ontological knowledge organization systems: The question of the naturalness of classifications

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Abstract

Several authors emphasise the need for a change in classification theory due to the influence of a dogmatic and monistic ontology supported by an outdated essentialism. These claims tend to focus on the fallibility of knowledge, the need for a pluralistic view, and the theoretical burden of observations. Regardless of the legitimacy of these concerns, there is the risk, when not moderate, to fall into the opposite relativistic extreme. Based on a narrative review of the literature, we aim to reflectively discuss the theoretical foundations that can serve as a basis for a realist position supporting pluralistic ontological classifications. The goal is to show that, against rather conventional solutions, objective scientific-based approaches to natural classifications are presented to be viable, allowing a proper distinction between ontological and taxonomic questions. Supported by critical scientific realism, we consider that such an approach is suitable for the development of ontological Knowledge Organisation Systems (KOSs). We believe that ontological perspectivism can provide the necessary adaptation to the different granularities of reality.

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APA

Machado, L. M. O., Martínez-Ávila, D., Almeida, M. B., & Borges, M. M. (2023). Towards a moderate realist foundation for ontological knowledge organization systems: The question of the naturalness of classifications. Journal of Information Science. https://doi.org/10.1177/01655515231160031

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