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The article provides an analysis of the terminology associated with novel coronavirus based on the study of the terms of scientific publications and social media messages by ITO and ITO-Sent models. These two models are outcomes of digitalisation of the SECI model. There are three main differences between these two models and the SECI model. First, first two models distinguish between two knowledge representation forms: words and computer codes. Second, they include four transition processes: visualisation (computer codes→ words), digitalisation (words→ computer codes), conceptualisation, and annotating, apart from four processes already present in the SECI model (socialisation, externalisation, combination, internalisation). Third, they serve as a theoretical basis for developing information technology for the goal-oriented discovery of new knowledge in texts. An information technology has been developed to discover traditional and new medical terms in the texts of scientific publications and Twitter messages associated with novel coronavirus.