Please use this identifier to cite or link to this item: https://er.knutd.edu.ua/handle/123456789/31007
Title: Explicit & Implicit/Tacit Knowledge Management Systems In Philology
Authors: Krasniuk, Svitlana
Keywords: artificial intelligence
knowledge management
machine learning
knowledge representation models
Issue Date: Mar-2025
Publisher: Seattle, Washington, USA : ProConference in conjunction with KindleDP
Citation: Krasniuk S. Explicit & Implicit/Tacit Knowledge Management Systems In Philology / S. Krasniuk // Organization of scientific research in modern conditions : International scientific conference. - Seattle, Washington, USA : ProConference in conjunction with KindleDP, 2025. - No 30. - P. 128-133.
Abstract: Explicit and tacit knowledge play a key role in philology, and their effective management is possible thanks to modern knowledge management systems and artificial intelligence. While explicit knowledge is easily formalized and transferred through digital technologies, tacit knowledge requires an expert approach, intuitive understanding, and cognitive processes. Knowledge management systems help organize large text bases and automate analysis, and artificial intelligence expands the capabilities of philologists in processing and interpreting texts. However, despite the development of technology, human expertise remains indispensable. The optimal approach is the integration of digital technologies with traditional methods of analysis, which will achieve a new level of efficiency in philological research. The purpose of this article is to analyze the current state of knowledge management in philology, review the main architectures & technologies of knowledge management systems and discuss the challenges and prospects for their further development.
URI: https://er.knutd.edu.ua/handle/123456789/31007
Faculty: Інститут права та сучасних технологій
Department: Кафедра філології та перекладу (ФП)
Appears in Collections:Матеріали наукових конференцій та семінарів

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