Knowledge reconstruction in dictionary entries: A case of cognitively-motivated onomasiology in Microsoft Azure Glossary of need-to-know cloud computing terminology

The purpose of the present study is to investigate the manner in which a dictionary, considered here a type of specialist text, may prove an applicable tool of knowledge reconstruction. It is suggested that the role of dictionary entries is not delimited to mere denotations of concepts. Rather, terms included in dictionaries are approached as access points to conceptual structures and, as such, instantiations of specialist (specialists') knowledge. The paper seeks to account for the conceptual motivation behind the semantics of lexical items in the target domain of cloud computing and it is assumed that reconstructing a portion of specialist extralinguistic reality is facilitated through cognitively-motivated onomasiology. To that end, it is postulated that onomasiological concrete-to-abstract directionality may be lexicalised in dictionary entries through cognitively-motivated tools such as conceptual metaphors and image schemas. In the cognitive-linguistic view, our conceptual structure is organised through conceptual metaphors which may not be comprehended independently of their experiential basis. Therefore, the treatment of lexical items in this paper is cognitive-linguistic in spirit. Dictionary entries were checked for potential lexicalisations of cognitively-motivated onomasiology using the methodological apparatus offered by Pragglejaz Group's MIP metaphor identification procedure and Charteris-Black's CMA corpus approach to metaphor analysis.