D. Parygin, A. Golubev, I. Korneev, A. Gurtyakov, V. Tsyganov, Yury Zatuliveter
{"title":"Multiservice Online Platform for Integrated Geospatial Data Processing","authors":"D. Parygin, A. Golubev, I. Korneev, A. Gurtyakov, V. Tsyganov, Yury Zatuliveter","doi":"10.1109/SMART46866.2019.9117225","DOIUrl":null,"url":null,"abstract":"The paper considers the development of modules that allow to work with data using automated methods for processing and analyzing information on urban infrastructure with use of a single work procedure. The main contribution of this paper is the proposed methods for collecting and initial processing of information on infrastructure and real estate objects using different resources and technologies for extracting information. Also, the paper deals with the algorithm of interaction with the API of the Russian state site “ReformaGKH” and management of obtained data. Key software solutions for building the multiservice informational and analytical online platform of integrated geospatial data processing to support decision-making on urban areas development are described.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART46866.2019.9117225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The paper considers the development of modules that allow to work with data using automated methods for processing and analyzing information on urban infrastructure with use of a single work procedure. The main contribution of this paper is the proposed methods for collecting and initial processing of information on infrastructure and real estate objects using different resources and technologies for extracting information. Also, the paper deals with the algorithm of interaction with the API of the Russian state site “ReformaGKH” and management of obtained data. Key software solutions for building the multiservice informational and analytical online platform of integrated geospatial data processing to support decision-making on urban areas development are described.
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