TAXONOMIC PRINCIPLES OF NARRATIVE DISCOURSE

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

Abstract

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.

References

Zhurovskyy, M. Z., Statyukha, H. A. (2007). Rol inzhenernoj nauki i praktiki v ustojchivom razvitii obshhestva [The role of engineering science and practice in the sustainable development of society]. Systemni doslidzhennia ta informatsijni tekhnolohii (Systems research and information technology), 1, 19-З8. [In Russian].

Stryzhak, O. Je., Potapov, G. M., Pryhodnjuk, V. V., Chepkov, R. I. (2019). Evoljucija upravlinnja — vid sytuacijnogo do transdyscyplinarnogo [The evolution of management — from situational to transdisciplinary]. Ekologichna bezpeka ta pryrodokorystuvannja (Ecological safety and nature management), 2 (30), 91112. Kyiv: Kyivskyj nacionalnyj universytet budivnyctva i arhitektury, NAN Ukrainy Instytut telekomunikacij i globalnogo informacijnogo prostoru. [In Ukrainian].

Malyshevsky, A. (1998). Qualitative models in the theory of complex systems. Science. Fizmatlit, Moscow.

Mihalevich, V. M. (2010). O nekotoryh klassah pravil vybora predpochtenij v zadachah prinjatija reshenija [On some classes of preference choice rules in decision problems]. Kibernetika i sistemnyj analiz (Cybernetics and Systems Analysis), в, 140-S4. [In Russian].

Stryzhak, O., Prychodniuk, V., Podlipaiev, V. (2019). Model of Transdisciplinary Representation of GEOspatial Information І Ilchenko, M., Uryvsky, L., Globa, L. (eds). Advances in Information and Communication Technologies. UKRMICO 2018. Lecture Notes in Electrical Engineering, Springer, Cham, 560, З4-72.

Nicolescu, B. (2008). Transdisciplinarity — Theory and Practice. Hampton Press, Cresskill, NJ, USA.

Palagin, A. (2014). Transdisciplinarity, computer science and development of modern civilization. Bulletin of the National Academy of Sciences of Ukraine. Kyiv: NAS of Ukraine, 7, 25-ЗЗ.

Fridman, L. M. (2001). Osnovy problemologii [Fundamentals of Problemology]. Ser: Problemologija. Moscow: Sinteg. [In Russian].

Piaget, J. (19S1). The Psychology of Intelligence. London: Routledge and Kegan Paul.

John, D., Kirlik, L. and A. (201З). The Oxford Handbook of Cognitive Engineering. doi: 10.1093Іoxf ordhbІ9780199757183.001.0001.

Mayer-Schonberger, V., Cukier, K. (201З). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Boston, MA: Houghton Mifflin Harcourt.

Shatalkin, A. I. (2012). Taksonomija. Osnovanija, principy i pravila [Taxonomy. Grounds, principles and rules]. Moscow: KMK. [In Russian].

Shirokov, V. A. (2017). Jazyk. Informacija. Sistema : Transdisciplinarnost v lingvistike [Tongue. Information. System: Transdisciplinarity in Linguistics]. Kyiv. [In Russian].

Barendregt, X. (198S). Lambda-calculus. His syntax and semantics. World, Moscow.

Gladun, V. P., Vashhenko, N. D., Velichko, V. Ju., Tkachenko, Ju. G. (2004). Strukturizacija i analiz dannyh v rastushhih piramidalnyh setjah [Structuring and analysis of data in growing pyramidal networks]. Systemni doslidzhennia ta informatsijni tekhnolohii (Systems research and information technology), 1, 8292. [In Russian].

Voevodsky, V. (2011). Univalent Foundations of Mathematics. In: Beklemishev L.D., de Queiroz R. (eds). Logic, Language, Information and Computation. WoLLIC 2011. Lecture Notes in Computer Science, Springer, Berlin, Heidelber, бб42.

Vajsfeld, M. (2004). Obektno-orientirovannoe myshlenie [Object oriented thinking]. Moscow : SPb. [In Russian].

David, K. E. (2012). Modeling Narrative Discourse. Ph.D. thesis, Columbia University, New York City.

Published
2020-07-13
How to Cite
Stryzhak, O. Y. (2020). TAXONOMIC PRINCIPLES OF NARRATIVE DISCOURSE. Medical Informatics and Engineering, (2), 137-147. https://doi.org/10.11603/mie.1996-1960.2020.2.11186
Section
Articles