Methods and models in economy
Recognition of images
General systems theory
G.A. Smirnov The place of data in the structure of knowledge
Scientometrics and management science
Optimization, identification, the theory of games
Cognitive technology
G.A. Smirnov The place of data in the structure of knowledge

Abstract.

The article describes the logical-epistemological procedures that provide structuring of nonconceptualized reality N. With the help of these procedures, N is transformed into a conscious reality R, consisting of rationally comprehensible elements of a special type (R-elements). They exist at the junction of knowledge and being, at the moment of performing acts of perception or recording data. R-elements cannot be fixed individually; they are initially distinguished as elements of an integral structure. As shown in the article, it is the structures consisting of R-elements, and not arrays of unstructured readings of impact sensors that perform the function of primary data in the construction of knowledge systems. R-structures together form a very special, “surface” layer of rational knowledge. The methods of separation of such a layer are demonstrated by the example of the analysis of the structure of scientific collaborations.

Keywords:

procedures of structurization, principles of identity and difference, existential structure, scientific collaboration

PP. 55-67.

DOI: 10.14357/20790279190305

References

1. Korol’ S. Chto takoe bol’shie dannye? [What is big data?]. Available at: http://blog.evotor.ru/chto-takoebolshie-dannye/(accessed September 13, 2017).
2. Mansour R. Discusses Geospatial Big Data: The Next Big Trend in Analytics // Geospatial World. 2016. Available at: https://www.geospatialworld.net/ (accessed February 06, 2016).
3. Smirnov G.A. 2015. Ot ob”ektnoy k setevoy paradigme sistemnogo podhoda (chast pervaya) [From object to network paradigm of system approach (part one)]. Trudy ISA RAN [ISA RAS Proceedings].65(2): 66-75.
4. Smirnov G.A. 2017. Ot ob”ektnoy k setevoy paradigme sistemnogo podhoda (chast vtoraya) [From object to network paradigm of system approach (part two)]. Trudy ISA RAN [ ISA RAS Proceedings].67(1): 89-103.
5. Bateson, G. 1972. Steps to an Ecology of Mind: Collected Essays in Anthropology, Psychiatry, Evolution, and Epistemology. New York: Ballantine Books.
6. Spencer-Brown G.1969. Laws of form. New-York, 1969.
7. Maturana H.R., Varela F.J. 1987. The tree of knowledge: The biological roots of human understanding. Boston: Shambhala Publications.
8. Luman N. 2002. Binfiihrung in die Systemtheorie. Heidelberg: Carl-Auer-Systeme Verlag.
9. Gray J. 1993. Transaction Processing: Concepts and Techniques (with Andreas Reuter). – San Mateo, Calif. : Morgan Kaufmann Publishers.
10. Hey T., Tansley S. and Tolle K. (eds). The Fourth Paradigm: Data-Intensive Scientific Discovery. Redmond: Microsoft Research, 2009.
11. Zhuravleva E. 2018 Vyzovy tehnologij «bolshih dаnnyh» dlya sovremennyh sotsiogumаnitаrnyh nаuk. [Calls Technologies ‘Big Data’ for the Modern Social Sciences and Humanities]. Voprosy` filosofii. 9:50-59.
12. Tishchenko V.I. 2019. Data science: novyj etаp setevogo аnаlizа [Data science: newstage of network analysis] / Sistemnyy analiz i informatsionnyye tekhnologii. Trudy konferentsii[Proceedings of the Conference].
13. Smirnov G.A. 2018. Ponyatie i yazyk setevoj logiki [Concept and language of network logic]. Informacionnye tekhnologii i vychislitel’nye sistemy [Information technologies and computer systems], 68 (4): 33 – 44.
14. Smirnov G.A. 2018. Kаtegoriаlnoe vospriyatie kаk sposob kontseptuаlizаtsii dаnnyh [Categorical perception as a method of conceptualizing data]. Sistemnie issledovaniya: Metodologicheskie problemi. Ezhegodnik 2018 [System Research: Methodological problems. Yearbook 2018]: 5-30.
 

 

2024-74-1
2023-73-4
2023-73-3
2023-73-2

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".