• O. Ye. Stryzhak National Center «Junior Academy of Sciences of Ukraine»
Keywords: taxonomy, ontology, narrative discourse, knowledge systems, cognitive services, network documents


Background. The complexity of information and analytical activities of experts is the problem of accumulation of large volumes of scientific products, which is a passive distributed system of knowledge. This problem of Big Data, requires the latest solutions that will ensure the integrative use experts of narrative descriptions of all documents that reflect the content of scientific results.

Materials and methods. Results. One of the mechanisms for mastering the content of network documents is narrative discourse, which is implemented on the basis of procedures of analysis, structuring, classification, identification of criteria, synthesis and evaluation, and so on. However, the primary for these procedures is the formation of taxonomies that reflect the semantic content of each document. Then the presentation of online documents in the format of narrative discourse implements support for the interaction of experts.

Conclusions. This approach to ensuring the information and analytical activities of experts creates the conditions for optimal processing of a large number of diverse information arrays. On the basis of taxonomic representation of big data for them the component architecture of services of support of decision-making is realized.


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How to Cite
Stryzhak, O. Y. (2020). TAXONOMIC PRINCIPLES OF NARRATIVE DISCOURSE. Medical Informatics and Engineering, (2), 137-147.