{"title":"基于报废技术的地理空间数据挖掘概念","authors":"H. Nekrasov, D. E. Polivoda, E. Prokofeva","doi":"10.1109/MWENT47943.2020.9067406","DOIUrl":null,"url":null,"abstract":"The article is devoted to the research, collection and analysis of geospatial data obtained by scrapping information from interactive maps or other public web resources. The data obtained can be used for the further research and identification of patterns or inaccuracies, as well as forecasting and visual presentation of the results. To solve the problem, an original concept is proposed for retrieving data that is on public servers, and which can be accessed using API (application program interface). This approach will be useful for research institutes, organizations for the formation of statistical and analytical reports and the provision of a spatial data set.","PeriodicalId":122716,"journal":{"name":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Geospatial Data Mining Concept Using Scrapping Technology\",\"authors\":\"H. Nekrasov, D. E. Polivoda, E. Prokofeva\",\"doi\":\"10.1109/MWENT47943.2020.9067406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article is devoted to the research, collection and analysis of geospatial data obtained by scrapping information from interactive maps or other public web resources. The data obtained can be used for the further research and identification of patterns or inaccuracies, as well as forecasting and visual presentation of the results. To solve the problem, an original concept is proposed for retrieving data that is on public servers, and which can be accessed using API (application program interface). This approach will be useful for research institutes, organizations for the formation of statistical and analytical reports and the provision of a spatial data set.\",\"PeriodicalId\":122716,\"journal\":{\"name\":\"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MWENT47943.2020.9067406\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Moscow Workshop on Electronic and Networking Technologies (MWENT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWENT47943.2020.9067406","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Geospatial Data Mining Concept Using Scrapping Technology
The article is devoted to the research, collection and analysis of geospatial data obtained by scrapping information from interactive maps or other public web resources. The data obtained can be used for the further research and identification of patterns or inaccuracies, as well as forecasting and visual presentation of the results. To solve the problem, an original concept is proposed for retrieving data that is on public servers, and which can be accessed using API (application program interface). This approach will be useful for research institutes, organizations for the formation of statistical and analytical reports and the provision of a spatial data set.
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