{"title":"面向地理空间信息服务的地理空间大数据平台","authors":"Boyi Shangguan, P. Yue, Zhipeng Cao, Bo Wang","doi":"10.1109/Agro-Geoinformatics.2019.8820437","DOIUrl":null,"url":null,"abstract":"In the big data era, there are various geospatial data and processing algorithms that can be available and accessible on the Web. It is often necessary to access all these resources using standardized interfaces and services, and build an integrated platform with capabilities of geospatial big data management and processing. The work in this paper is an infrastructural design and software implementation towards a geospatial big data platform for geospatial information services. The infrastructure of the platform is designed with 4 subsystems: Geospatial Data Store, Geospatial Computing Store, Application Store and Management Center. Each of them is developed using latest Web and cloud computing technologies. Based on the infrastructural design and implementation software, several use cases running on the platform are presented to demonstrate the applicability and promise of the platform.","PeriodicalId":143731,"journal":{"name":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards a Geospatial Big Data Platform for Geospatial Information Services\",\"authors\":\"Boyi Shangguan, P. Yue, Zhipeng Cao, Bo Wang\",\"doi\":\"10.1109/Agro-Geoinformatics.2019.8820437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the big data era, there are various geospatial data and processing algorithms that can be available and accessible on the Web. It is often necessary to access all these resources using standardized interfaces and services, and build an integrated platform with capabilities of geospatial big data management and processing. The work in this paper is an infrastructural design and software implementation towards a geospatial big data platform for geospatial information services. The infrastructure of the platform is designed with 4 subsystems: Geospatial Data Store, Geospatial Computing Store, Application Store and Management Center. Each of them is developed using latest Web and cloud computing technologies. Based on the infrastructural design and implementation software, several use cases running on the platform are presented to demonstrate the applicability and promise of the platform.\",\"PeriodicalId\":143731,\"journal\":{\"name\":\"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Agro-Geoinformatics.2019.8820437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Agro-Geoinformatics.2019.8820437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a Geospatial Big Data Platform for Geospatial Information Services
In the big data era, there are various geospatial data and processing algorithms that can be available and accessible on the Web. It is often necessary to access all these resources using standardized interfaces and services, and build an integrated platform with capabilities of geospatial big data management and processing. The work in this paper is an infrastructural design and software implementation towards a geospatial big data platform for geospatial information services. The infrastructure of the platform is designed with 4 subsystems: Geospatial Data Store, Geospatial Computing Store, Application Store and Management Center. Each of them is developed using latest Web and cloud computing technologies. Based on the infrastructural design and implementation software, several use cases running on the platform are presented to demonstrate the applicability and promise of the platform.