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Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model (open access)

Detecting interdisciplinary semantic drift for knowledge organization based on normal cloud model

Article describes how, to reduce the conceptual ambiguity in interdisciplinary knowledge organization systems (KOSs) and enhance interdisciplinary KOS management, this paper proposes a framework for interdisciplinary semantic drift (ISD) detection based on the normal cloud model (NCM). The research indicates the meaning of an interdisciplinary concept will drift from the high KPE discipline to the low KPE discipline as long as interdisciplinary knowledge potential differences (KPD) exist between these two related disciplines.
Date: April 27, 2023
Creator: Wang, Zhongyi; Peng, Siyuan; Chen, Jiangping; Kapasule, Amoni G. & Chen, Haihua
System: The UNT Digital Library