Systems and Means of Informatics
2020, Volume 30, Issue 1, pp 147-159
STRUCTURE AND FEATURES OF GENERALIZATION IN THE CONTEXT OF FUNCTIONING OF A TEMPORAL GEODATABASE
Abstract
The principles of constructing a temporal geodatabase and its features are presented. The essence of the multiple representations of geoobjects in the aspect of generalization and in the temporal aspect is considered, the typology of the relationships that occur in the structure of the multiple representations of geoobjects in the temporal geodatabase is highlighted, and the integrity constraints of the structure of these relationships are highlighted. The features of the generalization mechanism in the context of the functioning of the temporal geodatabase are considered, the phenomenon of changing the methodology and generalization criteria in time as another type of information transformation is presented.
[+] References (18)
- Rosenbloom, P. S. 2013. On computing: The fourth great scientific domain. Cambridge, MA: MIT Press. 307 p.
- Zatsman, I. M. 2018. Metodologiya obratimoy generalizatsii v kontekste klassifikatsii informatsionnykh transformatsiy [Methodology of reversible generalization in the con-text of classification of information transformations]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(2): 128-144.
- Goncharov, A. A., and I. M. Zatsman. 2019. Informatsionnye transformatsii parallel'- nykh tekstov v zadachakh izvlecheniya znaniy [Information transformations of parallel texts in problems of knowledge extraction]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 29(1): 180-193.
- Lurie, I. G., andT. E. Samsonov. 2010. Strukturai soderzhanie bazy prostranstvennykh dannykh dlya mul'timasshtabnogo kartografirovaniya [Structure and content of spatial data base for multi-dimensional mapping]. Geodeziya i kartografiya [Geodesy and Cartography] 11:17-23.
- Samsonov, T.E. 2011. Mul'timasshtabnoe kartografirovanie rel'efa. Ob- shchegeograficheskie i gipsometricheskie karty [A multiscale terrain mapping. General geographic and hypsometric maps]. LAP LAMBERT Academic Publishing. 208 p.
- Samsonov, T. E. 2012. Mul'timasshtabnoe kartografirovanie - novoe napravlenie kartografii [Multiscale mapping- a new direction of cartography]. Sovremennaya geograficheskaya kartografiya [Modern geographical cartography]. Moscow: DATA+. 21-35.
- Nikishin, D. A. 2018. Sopostavlenie osobennostey predstavleniya geodannykh v kar- tografii i geoinformatike [Comparison of characteristics of the representation of geodata in cartography and geoinformatics]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(2):60-74.
- Nikishin, D.A. 2018. Protsessy generalizatsii v analogovoy i tsifrovoy kartografii [A generalization processes in analog and digital cartography]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 28(3):204-216.
- Nikishin, D.A. 2019. Vidy neodnorodnostey v strukture generalizatsii geodannykh [Types of inhomogeneities in the structure of geodata generalization]. Sistemy i Sredstva Informatiki - Systems and Means of Informatics 29(1):74-85.
- Codd, E. F. 1979. Extending the database relational model to capture more meaning. ACM T. Database Syst. 4(4):395-434.
- Das, M., and S.K. Ghosh. 2016. Modeling spatio-temporal change pattern using mathematical morphology. 3rd IKDD Conference on Data Science Proceedings. ACM. Art. No. 4. 10 p. doi: 10.1145/2888451.2888458.
- Atluri, G., A. Karpatne, and V. Kumar. 2018. Spatio-temporal data mining: A survey of problems and methods. ACM Comput. Surv. 51 (4):83. 41 p.
- Qing, W., Lv. Weifeng, and Du. Bowen. 2018. Spatio-temporal anomaly detection in traffic data. 2nd Symposium (International) on Computer Science and Intelligent Control Proceedings. ACM. Art. No. 46. 5 p. doi: 10.1145/3284557.3284725.
- Dawson, P., and C. Sykes. 2016. Organizational change and temporality: Bending the arrow of time. New York, NY: Routledge. 254 p.
- Siabato, W., C. Claramunt, S. Ilarri, and M.A. Manso-Callejo. 2018. A survey of modelling trends in temporal GIS. ACM Comput. Surv. 51(2):30. 41 p. doi: 10.1145/3141772.
- Goncharov, A. A., I. M. Zatsman, and M. G. Kruzhkov. 2019. Temporal'nye dannye v leksikograficheskikh bazakh znaniy [Temporal data in lexicographic knowledge bases]. Informatika i ee Primeneniya - Inform. Appl. 13(4):90-96.
- Bugaevskiy, L. M., and V. Ya. Tsvetkov. 2000. Geoinformatsionnye sistemy [Geoinformation systems]. Moscow: Zlatoust. 222 p.
- Lisitsky, D.V., E .V. Komissarova, A. A. Kolesnikov, and M.N. Sharypova. 2015. Temporal'nye dannye v leksikograficheskikh bazakh znaniy [Estimation of directions and trends of development of modern cartography]. Geodeziya i kartografiya [Geodesy and Cartography] 11:59-64.
[+] About this article
Title
STRUCTURE AND FEATURES OF GENERALIZATION IN THE CONTEXT OF FUNCTIONING OF A TEMPORAL GEODATABASE
Journal
Systems and Means of Informatics
Volume 30, Issue 1, pp 147-159
Cover Date
2020-05-30
DOI
10.14357/08696527200113
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
geodata; information transformations; multiple representation of geodata; multilevel generalization; temporal aspect of geodata; temporal geodatabase; variation of the generalization structure over time
Authors
D. A. Nikishin 
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science
and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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