The rapid evolution of Information Technology has intensified terminological dissonance, as identical terms increasingly acquire divergent meanings across disciplines, professional communities, and languages. This article examines terminological mediation as a linguistic and computational response to this challenge, with particular attention to semantic clustering and ontological mapping. Drawing on Richards’s (2015) Termediator model and recent pedagogical research by Du Toit et al. (2025), the study demonstrates how mediation tools make hidden conceptual structures visible rather than enforcing fixed definitions. The analysis shows that IT terminology functions as a dynamic, polysemic network shaped by metaphor, semantic extension, and specialization. By integrating computational modeling with multilingual educational practices, terminological mediation supports clearer interdisciplinary communication, reduces semantic ambiguity, and promotes linguistic inclusivity in technology education.

Information Technology terminology, terminological dissonance, terminology mediation

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