DOI: 
10.22389/0016-7126-2021-975-9-41-49
1 Grigoryev S.A.
Year: 
№: 
975
Pages: 
41-49

Moscow State University of Geodesy and Cartography (MIIGAiK)

1, 
Abstract:
The current practice of cadastral and forensic activities shows its subjectivity. The expert makes a resolution in each specific case and for each specific real estate object. The traditional priority of a paper document over an electronic one also plays an important role. The article deals with the problem of the EGRN data reliability, which, according to the author, consists in the lack of unified approaches to gathering and processing source documents, analyzing the set of real estate objects characteristics, as well as their verification (audit). The purpose of the study is to develop a method of multi-documentary cadastral audit of real estate objects, which consists of a set of procedures for processing and analyzing documented cadastral information presented in the form of a disparate documents set. The results of the study showed the possibility of unifying and justifying a reliable model of a real estate object at any time, which is essential for verifying the reliability of the registered characteristics in the EGRN and formalizing expert activities. The developed method of multi-documentary cadastral audit simulates the work of a specialist and enables automating expert activities in the field of real estate, which meets modern trends in automation and digitalization.
References: 
1.   Avrunev E. I., Dorosh M. P. Razrabotka informatsionnoi modeli dlya povysheniya dostovernosti kadastrovoi informatsii. Vestnik of SSUGT, 2018, Vol. 23, no. 1, pp. 156–166.
2.   Alborov R. A., Kontsevaya S. M., Kozmenkova S. V. Problemy razvitiya metodologii, metoda i metodiki audita. Mezhdunarodnyi bukhgalterskii uchet, 2015, Vol. 18, 36(378). pp. 47–60.
3.   Atamanov S. A., Grigor'ev S. A. Avtomaticheskii kadastrovyi audit nedvizhimogo imushchestva po vypiske iz Edinogo gosudarstvennogo reestra nedvizhimosti. Modeli i tekhnologii prirodoobustroistva (regional'nyi aspekt), 2018, no. 1 (6), pp. 113–117.
4.   Afanas'eva A. V., Tarannikova A. M. Povyshenie kachestva kadastrovoi informatsii v Edinom gosudarstvennom reestre nedvizhimosti. Vavilovskie chteniya: Sb. statei mezhdunar. nauch.-prakt. konf, Saratov: Amirit, 2019, pp. 297–300.
5.   Bachinin K. A. Kachestvo reestrovoi informatsii v EGRN. Nauka, obrazovanie, innovatsii: aprobatsiya rezul'tatov issledovanii [Elektronnyi resurs] CD-ROM, Nizhnekamsk: Mir nauki, 2020, pp. 109–113.
6.   Glotov V. A., Pavel'ev V. V. Ekspertnye metody opredeleniya vesovykh koeffitsientov. Avtomatika i telemekhanika, 1976, no. 12, pp. 95–107.
7.   Ershova N. V., Barinov V. N., Trukhina N. I., Kalabukhov G. A. Osobennosti razvitiya kadastrovoi sistemy Rossiiskoi Federatsii. Vestnik Voronezhskogo gosudarstvennogo agrarnogo universiteta, 2019, Vol. 12, no. 3, pp. 222–228. URL: http://vestnik.vsau.ru/wp-content/uploads/2019/11/222-228.pdf DOI: 10.17238/issn2071-2243.2019.3.222.
8.   Kiseleva A. O., Klyushnichenko V. N. Sistematizatsiya kharakteristik nedvizhimogo imushchestva. Interekspo GEO-Sibir', 2012, Vol. 3, no. 1, pp. 86–91.
9.   Kuznetsov D. Yu., Troshina T. L. Klasternyi analiz i ego primenenie. Yaroslavskii pedagogicheskii vestnik, 2006, no. 4, pp. 103–107.
10.   Tikhonova K. V., Kochetova E. V., Kochetov S. S. Analiz problem informatsionnoi napolnennosti uchetno- registratsionnoi sistemy i ee rol' v razlichnykh apparatakh upravleniya. Ekonomika i ekologiya territorial'nykh obrazovanii, 2018, Vol. 2, no. . 4, pp. 34–44. DOI: 10.23947/2413-1474-2018-2-4-34-44.
11.   Bodenbender M., Kurzrock B. M., Müller P. M. (2019) Broad application of artificial intelligence for document classification, information extraction and predictive analytics in real estate. Journal of General Management, Volume 44, no. 3, pp. 170–179.
Citation:
Grigoryev S.A., 
(2021) Multi-documentary cadastral audit of real estate objects. Geodesy and cartography = Geodezia i Kartografia, 82(9), pp. 41-49. (In Russian). DOI: 10.22389/0016-7126-2021-975-9-41-49
Publication History
Received: 16.04.2021
Accepted: 10.06.2021
Published: 20.10.2021

Content

2021 September DOI:
10.22389/0016-7126-2021-975-9