Systems and Means of Informatics

2018, Volume 28, Issue 1, pp 65-76

THE MODEL OF SEMANTIC NET ERROR CORRECTION PROCESS

I. M. Adamovich
O. I. Volkov

Abstract

The article continues the series of articles on modeling of errors of independent users in forming of semantic net which is the basis for the distributed technology of concrete historical investigation support. The article is devoted to the description and rationale of the approach to modeling of organizational measures designed to find and correct these errors. The proposed approach is to expand the semantic net model which is based on the concepts of graphodynamics and the Barabasi-Albert model with the mechanism of parallel fixation of mistaken and appropriate nonmistaken user actions by including a new mechanism of user roles and various forms of their activity. In the process of applying this approach, the analysis of influence of different classes of errors on the network quality was made. Experimental studies of effectivity of organizational measures of finding and correction of semantic network errors were undertaken using this model.

[+] References (15)

Adamovich, I. M., and O.I. Volkov. I. 2016. Tekhnologiya raspredelennogo avtoma- tizirovannogo analiza istoricheskikh tekstov [The distributed automated technology of historical texts analysis]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 3(26): 148-161.
Adamovich, I. M., and O.I. Volkov. 2017. Ob odnom podkhode k modelirovaniyu protsessa razvitiya semanticheskoy seti [An approach to modeling the semantic net evolution]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 2(27): 143-154.
Yuditskiy, S. A. 2011. Grafodinamicheskoe imitatsionnoe modelirovanie razvitiya setevykh struktur [Graphodynamic simulation modeling of network structures evolution]. Upravlenie bol'shimi sistemami [Large-Scale Systems Control] 33:21-34.
Badryzlov, V. A. 2014. Printsipy generatsii sluchaynykh grafov dlya modelirovaniya seti Internet [The principles of generation of random graphs for simulation of the Internet]. Omskiy nauchnyy vestnik [Omsk Scientific Bull.] 3(133):204-208.
Adamovich, I.M., and O.I. Volkov. 2017. Vliyanie oshibok pol'zovateley na di- namiku kachestva semanticheskoy seti [The influence of user errors on the semantic network quality dynamics]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 4(27): 150-163.
Poldin, O. V., N. N. Matveeva, I. A. Sterligov, and M. M. Yudkevich. 2017. Publika- tsionnaya aktivnost' vuzov: effekt proekta "5-100" [Publication activities of Russian universities: The effects of Project 5-100]. Voprosy obrazovaniya [Educational Studies] 2:10-35.
Bresler, M. G. 2015. Metodikakompleksnogoanalizasetevogo soobshchestva [Methods of complex analysis of network community]. Nauka-Rastudent.ru 09(21). Available at: http://nauka-rastudent.ru/21/2919/ (accessed October 5, 2017).
Sukhar'kova, M.P. 2016. Onlayn aktivnost' olimpiyskogo volonterskogo dvizheniya "Sochi-2014" do iposle igr [Online activity of the Olympic volunteer movement "Sochi- 2014" before and after Games]. Informatsionnoe obshchestvo [Information Society] 6:46-56.
Sukharev, O. S., and N. V. Kurmanov. 2012. Elementy marketingovogo analiza sotsi- al'noy seti [Elements of marketing analysis of social network]. Ekonomicheskiy analiz: teoriya i praktika [Economic Analysis: Theory and Practice] 11 (35):2-8.
Nesterov, V. U. 2002. K voprosu o dinamike setevykh soobshchestv [On the dynamics of network communities]. Biblioteka uchebnoy i nauchnoy literatury [Library of Educational and Scientific Literature]. 8 p. Available at: http://sbiblio.com/ BIBLIO/archive/nesterov_at_question/ (accessed October 5, 2017).
Sazanov, V. M. 2009. Sravnitel'nyy analiz sotsial'no-setevykh proektov [Comparative analysis of social-network projects]. Sotsial'no-orientirovannye seti i tekhnologii. Issledovatel'skiy resurs sotsial'nogo Interneta [Socially-oriented networks and technologies. Research resource of social Internet]. Available at: http://v-school.narod.ru/ PAPERS/analiz.doc (accessed October 5, 2017).
Seliverstova, P.O. 2014. Autsorsing, kraudsorsing i ekspertnye seti kak al'ternativa vnutrennim resursam organizatsii (insorsingu) [Outsourcing, crowdsourcing and expert networks as alternative to internal resources of the organization]. Ekonomika i menedzhment innovatsionnykh tekhnologiy [Economics and Innovations Management] 11 (38):39-45.
Howe, J. 2009. Crowdsourcing: Why the power of the crowd is driving the future of business. New York, NY: Three Rivers Press. 311 p.
Komarova, T. K. 2002. Psikhologiya vnimaniya [Psychology of attention]. Grodno, Belarus: Yanka Kupala State University of Grodno. 124 p.
Ageev, M.S., I.E. Kuralenok, and I. S. Nekrest'yanov. 2010. Ofitsial'nye metriki ROMIP'2010 [ROMIP'2010 official metrics]. Rossiyskiy seminar po otsenke metodov informatsionnogo poiska: Tr. ROMIP'2010 [ROMIP: Russian Information Retrieval Evaluation Seminar Proceedings]. Kazan: Kazan University Publs. 172-187.

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