Ontological Foundations of Lexical-Semantic Relations in Information Technology Terminology (on the Example of Hyponymy and Meronymy)

In recent years, the rapid development of information technologies has led to the emergence of complex and multi-layered terminological systems that require systematic linguistic and conceptual description. Identifying semantic relations between concepts in information technology terminology plays a crucial role in organizing scientific knowledge, standardizing terminology, and supporting knowledge representation processes. The main objective of this article is to identify the ontological foundations of lexical-semantic relations in information technology terminology and to analyze the role of hyponymy and meronymy in the conceptual structure of this domain.
The theoretical framework of the study is based on the principles of lexical semantics, terminology theory, and formal ontology. Methodologically, the research employs lexical-semantic analysis, conceptual analysis, and ontological modeling. The study examines a corpus of terms drawn from the domains of software, computer hardware, and network technologies. Hyponymic relations are analyzed as class-subclass hierarchies (subclassof), whereas meronymic relations are examined as part-whole structures.
During the study, ontological modeling tools were used to identify semantic relations between terms, and hierarchical as well as mereological links between terminological units were systematized through conceptual diagrams. This approach makes it possible to determine not only the linguistic form of terminological units but also their position within the conceptual system.
The results demonstrate that in information technology terminology hyponymy functions as the primary mechanism of taxonomic classification and forms conceptual hierarchies between concepts. Meronymy, in turn, reflects mereological relations that characterize the internal architecture of technological systems. The findings indicate that these two types of relations operate in close interaction and provide a systematic framework for modeling knowledge in the field of information technologies.
In conclusion, hyponymy and meronymy represent key ontological mechanisms that shape the semantic structure of information technology terminology. The analysis of these relations has important theoretical and practical implications for more accurate modeling of terminological systems, the development of ontologies, and the improvement of computational processing of technical knowledge.