ONTOLOGICAL MODELING INFORMATION TECHNOLOGY TERMS IN UZBEK

Authors

  • Nilufar Abdurakhmonova
  • Abdullayeva Shakhnoza Rakhimjon qizi

Keywords:

information technology terminology, foreign terms, lexicographic adaptation, terminological systematization, ontological modeling, hyponymic relations, meronymic relations, semantic features of terms, structural features of terms, transliteration, loan translation (calquing), term variability, conceptual system, ontological dictionary

Abstract

This article provides a comprehensive analysis of ontological modeling information technology (IT) terms in the Uzbek language. The study aims to evaluate the formation of IT terminology in Uzbek based on lexicographic principles and to determine its position within a conceptual system through an ontological approach. In order to achieve this objective, the research identifies the mechanisms of term assimilation, examines their representation in lexicographic sources, evaluates semantic and structural adaptation, and analyzes ontological relations like hyponymy and meronymy. The methodology combines lexico-semantic analysis, comparative analysis, conceptual analysis, and ontological modeling. The corpus includes selected IT terms (e.g., server, database, interface, protocol, firewall, cloud computing) from software, networking, and data management domains. The findings indicate that borrowing is primarily realized through transliteration and partial calquing; however, consistency and standardization remain insufficient. Lexical definitions often fail to capture conceptual depth, leading to variability and ambiguity within the terminological system. Ontological analysis demonstrates that hierarchical and partitive relations enable the integration of terms into a structured knowledge system. The study concludes that effective adaptation requires the integration of lexicographic and ontological approaches. This contributes to terminology standardization, improved scientific communication, and the development of structured terminological resources.

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Published

2026-06-29