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Computer Science > Artificial Intelligence

arXiv:2002.03531v1 (cs)
[Submitted on 10 Feb 2020 (this version) , latest version 2 Sep 2025 (v2) ]

Title: A Novel Kuhnian Ontology for Epistemic Classification of STM Scholarly Articles

Title: 一种库恩式的本体论用于STM学术文章的知识分类

Authors:Khalid M. Saqr, Abdelrahman Elsharawy
Abstract: Thomas Kuhn proposed his paradigmatic view of scientific discovery five decades ago. The concept of paradigm has not only explained the progress of science, but has also become the central epistemic concept among STM scientists. Here, we adopt the principles of Kuhnian philosophy to construct a novel ontology aims at classifying and evaluating the impact of STM scholarly articles. First, we explain how the Kuhnian cycle of science describes research at different epistemic stages. Second, we show how the Kuhnian cycle could be reconstructed into modular ontologies which classify scholarly articles according to their contribution to paradigm-centred knowledge. The proposed ontology and its scenarios are discussed. To the best of the authors knowledge, this is the first attempt for creating an ontology for describing scholarly articles based on the Kuhnian paradigmatic view of science.
Abstract: 托马斯·库恩五十年前提出了他关于科学发现的范式观点。 范式概念不仅解释了科学的进步,也成为了STM科学家中的核心认识论概念。 在这里,我们采用库恩哲学的原则,构建一个新颖的本体论,旨在对STM学术文章的影响进行分类和评估。 首先,我们解释库恩科学循环如何描述不同认识阶段的研究。 其次,我们展示如何将库恩科学循环重构为模块化本体论,根据学术文章对以范式为中心的知识的贡献对其进行分类。 讨论了所提出的本体论及其情景。 据作者所知,这是首次尝试基于库恩科学的范式观点创建描述学术文章的本体论。
Subjects: Artificial Intelligence (cs.AI) ; Computation and Language (cs.CL)
Cite as: arXiv:2002.03531 [cs.AI]
  (or arXiv:2002.03531v1 [cs.AI] for this version)
  https://doi.org/10.48550/arXiv.2002.03531
arXiv-issued DOI via DataCite

Submission history

From: Khalid Saqr [view email]
[v1] Mon, 10 Feb 2020 04:00:07 UTC (1,300 KB)
[v2] Tue, 2 Sep 2025 13:46:02 UTC (26 KB)
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