Informatics and Applications

2023, Volume 17, Issue 1, pp 116-125

ON THE SCIENTIFIC PARADIGM OF INFORMATICS: DATA, INFORMATION, AND KNOWLEDGE

I. M. Zatsman

Abstract

Three basic notions of informatics - data, information, and knowledge - are considered. The variant of specification of these notions within the framework of constructing a system of terms of the scientific paradigm of informatics as a fundamental science is proposed. On the one hand, the notions of "data," "information," and "knowledge" are widely used in the scientific literature and textbooks on informatics, in particular, when describing its theoretical foundations. On the other hand, there is still no consensus on their semantic content.
The current situation is most likely due to the widespread presupposition (implicit assumption) that the notions in question express some objective entities of the subject domain of informatics. The paper assumes that they express intersubjective entities that by their nature arise as objects of thought during an agreement process, that is, they are not objectively existing. From the point of view of the Frege's triangle (subject - notion (concept) - word that expres the notion and denote the subject), for objective entities, the primary vertex of the triangle is the subject as a result of the study of which the notion and the word appear. For intersubjective entities, the primary vertex is the notion, the definitions of which must be discussed in the interests of reaching consensus. If it can be achieved, then it is during the process of discussion that the subject of thought appears, the word denoting it and expressing the notion which together form the Frege's triangle. The aim of the paper is to specify the basic notions of informatics as expressing intersubjective entities and being the primary vertices of the Frege's triangle, to distribute them among the media of the subject domain of informatics, highlighting the boundaries between the media, and to consider the relationship between the specified notions on these boundaries.

[+] References (38)

Eliot, T. S. 1934. The rock. London: Faber and Faber Ltd. 86 p.
Ackoff, R. 1989. From data to wisdom. J. Appl. Syst.Anal. 16(1):3-9.
Rowley, J. 2007. The wisdom hierarchy: Representations of the DIKW hierarchy. J. Inf. Sci. 33(2):163-180.
Chen, M., D. Ebert, H. Hagen, R. Laramee, R. van Liere, K.-L. Ma, W. Ribarsky, G. Scheuermann, and D. Silver. 2009. Data, information, and knowledge in visualization. lEEEComput. Graph. 29(1):12-19.
Loukachevitch, N.V. 2011. Tezaurusy v zadachakh informatsionnogo poiska [Thesauri in information retrieval tasks]. Moscow: Izd-vo Moskovskogo un-ta. 512 p.
Weinberger, D. 2010. The problem with the data- information-knowledge-wisdom hierarchy. Harvard Bus. Rev. Available at: https://hbr.org/2010/02/data-is- to-info-as-info-is-not (accessed January 24, 2023).
Fricke, M.H. 2018. Data-Information-Knowledge- Wisdom (DIKW) pyramid, framework, continuum. Encyclopedia of big data. Eds. L. Schintler and C. McNeely. Cham: Springer. 4 p. doi: 10.1007/978-3-319-32001- 4_331-1.
Zatsman, I. 2022. O nauchnoy paradigme informatiki: verkhniy uroven' klassifikatsii ob"ektov ee predmetnoy oblasti [On the scientific paradigm of informatics: The classification high level of its objects]. Informatika i ee Primeneniya - Inform. Appl. 16(4):108-114.
Newman, J. 2001. Some observations on the semantics of "Information." Inform. Syst. Front. 3(2):155-167.
Di'az Nafria, J. M. 2010. What is information? A multidi-mensional concern. Triple С 8(1):77-108.
Denning, P. J. 2010. Opening statement. Ubiquity Symposium "The Science in Computer Science" Proceedings. 10. Available at: https://ubiquity.acm.org/article. cfm?id=1880067 (accessed January 24, 2023).
Conery, J. S. 2010. Computation is symbol manipulation. Ubiquity Symposium "The Science in Computer Science" Proceedings. 10. Available at: https://ubiquity.acm.org/ article.cfm?id=1889839 (accessed January 24, 2023).
Frailey, D. J. 2010. Computation is process. Ubiquity Symposium "The Science in Computer Science" Proceedings. 10. Available at: https://ubiquity.acm.org/article.cfm?id= 1891341 (accessed January 24, 2023).
Bajcsy, R. 2010. Computation and information. Ubiquity Symposium "The Science in Computer Science" Proceed-ings. 10. Available at: https://ubiquity.acm.org/article. cfm?id=1899473 (accessed January 24, 2023).
Rosenbloom, P. S. 2014. The computing sciences and STEM education. Ubiquity Symposium "The Science in Computer Science" Proceedings. 14. Available at: http:// ubiquity.acm.org/article.cfm?id=2590530 (accessedJanuary 24, 2023).
Shreyder, Yu. A. Informatsiya i znanie [Information and knowledge]. Sistemnaya kontseptsiya informatsionnykh protsessov [System conception of information processes]. Moscow: VNIISI Publs. 47-52.
Nygaard, K. 1986. Program development as a social activity. 10th World Computer Congress Proceedings. Ed. H. -J. Kugler. North Holland: Elsevier Science Publs. B.V., IFIP. 189-198.
Nonaka, I. 1991. The knowledge-creating company. Har-vard Bus. Rev. 69(6):96-104.
Gilyarevskiy, R. S., ed. 2006. Informatika kak nauka ob informatsii [Informatics as information science]. Moscow: FAIR-PRESS. 592 p.
Denning, P., and P. Rosenbloom. 2009. Computing: The fourth great domain of science. Commun. ACM 52(9):27- 29.
Rosenbloom, P. S. 2013. On computing: The fourth great scientific domain. Cambridge, MA: MIT Press. 307 p.
Deep shift - technology tipping points and societal impact. 2015. World Economic Forum. Geneva, Switzerland. Available at: http://www3.weforum.org/docs/WEF_ GAC15_Technological_Tipping_Points_report_2015.pdf (accessed January 24, 2023).
Schwab, K. 2016. The fourth industrial revolution. Geneva, Switzerland: World Economic Forum. 172 p.
The Committee on European Computing Education. 2017. Informatics education in Europe: Are we all in the same boat? New York, NY: ACM. Technical Report. 251 p. Available at: https://dl.acm.org/citation. cfm?id=3106077 (accessed January24, 2023).
Caspersen, M.E., J. Gal-Ezer, A. McGettrick, and E. Nardelli. 2018. Informatics for all: The strategy. New York, NY: ACM. 16 p.
Diaz Nafria, J. M., and R. E. Zimmermann. 2013. Emergence and evolution of meaning: The general definition of information (GDI) revisiting program - Part 2: The re-gressive perspective: Bottom-up. Information 4:240-261.
Guralnik, D. B., and J. H. Friend, eds. 1960. Webster's New World dictionary of the American language. New York, NY: The World Publishing Co. 1760 p.
Definition of phenomenon (meaning 2c). Merriam- Webster's dictionary. Available at: https://www.merriam- webster.com/dictionary/phenomenon (accessed January 24, 2023).
Zatsman, I. 2022. Teoreticheskie osnovaniya komp'yuternogo obrazovaniya: sredy predmetnoy oblasti informatiki kak osnovanie klassifikatsii ee ob"ektov [Theoretical foundations of digital education: Subject domain media of informatics as the base of its objects' classification]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 32(4):77-89.
Kolin, K. K. 1990. O strukture nauchnykh issledovaniy po kompleksnoy probleme "Informatika" [On the structure of scientific research on the complex problem of "Informatics"]. Sotsial'naya informatika [Socialinformatics]. Moscow: VKSh. 19-33.
Zatsman, I. M. 2019. Interfeysy tret'ego poryadka v infor- matike [Third-order interfaces in informatics]. Informatika i ee Primeneniya - Inform. Appl. 13(3):82-89.
Zatsman, I. 2014. A table of interfaces of informatics as computer and information science. Scientific Technical Information Processing 41(4):233-246.
Solomonick, A. 2006. Paradigma semiotiki [The paradigm of semiotics]. Minsk: MET Publs. 335 p.
Kuhn, T. 1962. The structure of scientific revolutions. Chicago, IL: University of Chicago Press. 264 p.
Zatsman, I. M. 2019. Kodirovanie kontseptov v tsifrovoy srede [Digital encoding of concepts]. Informatika i ee Primeneniya - Inform. Appl. 13(4):97-106.
Treshnikov, A. F, ed. 1988. Geograficheskiy entsiklopedicheskiy slovar'. Ponyatiya i terminy [Geographical encyclopedic dictionary Concepts and terms]. Moscow: The Soviet Encyclopedia Publs. 432 p.
Zatsman, I. 2003. Kontseptual'nyy poisk i kachestvo informatsii [Conceptual retrieval and quality of information]. Moscow: Nauka. 272 p.
Federico, P, M. Wagner, A. Rind, A. Amor-Amoros, S. Miksch, and W Aigner. 2017. The role of explicit knowledge: A conceptual model of knowledge-assisted visual analytics. IEEE Conference on Visual Analytics Sci-ence and Technology Proceedings. New York, NY: IEEE. 92-103.

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