Systems and Means of Informatics

2017, Volume 27, Issue 2, pp 143-154

AN APPROACH TO MODELING THE SEMANTIC NET EVOLUTION

I. M. Adamovich
O. I. Volkov

Abstract

This article is devoted to the description and rationale of the approach to the modeling of semantic net which is the basis for the technology of concrete historical investigation support. This technology is supported by the interaction of many independent researchers. This fact can potentially cause the degradation of the collected information quality. The described model is used to check the quality of the information which is organized as a semantic net. The proposed modeling approach is based on the concepts of graphodynamics, which allows building a graph on the basis of strictly defined empiric rules, and the Barabasi- Albert model (algorithm for generating random scale-free networks). The model adequacy was checked by comparing its parameters with the main characteristics of cognitive networks on the ground that the semantic net of the concrete historical investigation technology is, of its nature, a cognitive network. Model validation was carried out for a wide range of model's parameters values.

[+] References (17)

Adamovich, I.M., and O. I. Volkov. 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. 2015. Sistema izvlecheniya biograficheskikh faktov iz tekstov istoricheskoy napravlennosti [The system of facts extraction from historical texts]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 2(25):235-250.
Adamovich, I. M., and O. I. Volkov. 2016. Ierarkhicheskaya forma predstavleniya biograficheskogo fakta [Hierarchial format of biohraphical fact]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 2 (26): 14 7-161.
Egerev, S. V. 2016. Ot kraudsorsinga prostykh operatsiy k "nauke grazhdan" [From SciSourcing of simple operations to the citizen science]. Sotsiologiya nauki i tekhnologiy [Sociology of Science and Technology] 4:74-85.
Ivanishkina, Y. V. 2014. "Kraudsayens" kak novaya forma kraudsorsinga: gumani- tarnye effekty i problemy primeneniya [Crowdscience as a new form of crowdsourcing: Humanitarian effects and problems of application]. 3rd Scientific-Practical Conference (International) "Social Computing: Fundamentals, Technologies of Development, Social and Humanities Effects" Proceedings. Moscow. M. A. Sholokhov Moscow State University for the Humanities. 28-34.
Zamorkin, A. A. 2012. Folksonomiya i sotsial'nyy tegging kak novye yavleniya virtu- al'noy kommunikatsii [Folksonomy and social tagging as phenomena of virtual communications]. Vestnik Yaroslavskogo gos. un-ta im. P. G. Demidova. Ser. Gumanitarnye nauki [Bulletin of P. G. Devidov Yaroslavl State University. Humanitarian science ser.] 3(21):173-177.
Semenov, S. P., and A. O. Tashkin. 2014. Primenenie folksonomicheskogo podkho- da v razrabotke sotsial'no-orientirovannykh geoinformatsionnykh sistem [Application folksonomy approach in the development of socially-oriented geographic information system]. Vestnik Yugorskogo gos. un-ta [Bulletin of the Yugra State University] 2(33):94-99.
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.
Yuditskiy, S. A. 2008. Grafodinamicheskaya avtomatnaya model' razresheniya konflik- tov v organizatsionnykh sistemakh [Structural-machine model of conflict solutions in organizational systems]. Upravlenie bol'shimi sistemami [Large-Scale Systems Control] 23:126-136.
Yuditskiy, S. A., L. V. Zheltova, and P. N. Vladislavlev. 2010. Grafodinamicheskaya triadnaya model' sistemy s diskretnym upravleniem [Graphodynamic triad model of the discrete controlled system]. Pribory i sistemy. Upravlenie, kontrol', diagnostika [Instruments and Systems: Monitoring, Control, and Diagnostics] 10:12-18.
Yuditskiy, S. A. 2010. Tekhnika grafodinamicheskogo modelirovaniya binarnykh igr na osnove stsenarnykh svyazok [A technique for graph-dynamic modeling of binary games based on scenario bindings]. Upravlenie bol'shimi sistemami [Large-Scale Systems Control] 31:289-298.
Yevin, I. A. 2010. Vvedenie v teoriyu slozhnykh setey [Introduction to the theory of complex networks]. Komp'yuternye issledovaniya i modelirovanie [Computer Research and Modeling] 2(2):121-141.
Yevin, I. A., T. F. Khabibullin, N. D. Shuvalov, and I. O. Vasyukov. 2012. Iskusstvo i teoriya slozhnykh setey [Art and theory of complex networks]. Slozhnye sistemy [Complex Systems] 3:38-50.
Bak, P. 1997. How nature works. The science of self-organized criticality. Oxford: Oxford University Press. 62 p.
Yevin, I. A., A. A. Koblyakov, D. V. Savricov, andN. D. Shuvalov. 2011. Kognitivnye seti [Cognitive networks]. Komp'yuternye issledovaniya i modelirovanie [Computer Research and Modeling] 3(3):231-239.
Badryzlov, V. A. 2014. Printsipy generatsii sluchaynykh grafov dlya modelirovaniya seti Internet [The principles of generation of random graphs for simulation of Internet]. Omskiy nauchnyy vestnik [Omsk Scientific Bulletin] 3(133):204-208.
Komarova, T.K. 2002. Psikhologiya vnimaniya [Psychology of attention]. Grodno, Belarus: Yanka Kupala State University of Grodno. 124 p.

[+] About this article