Christian Beilschmidt, Johannes Drönner, Michael Mattig, Bernhard Seeger
{"title":"Geo Engine: Workflow-driven Geospatial Portals for Data Science","authors":"Christian Beilschmidt, Johannes Drönner, Michael Mattig, Bernhard Seeger","doi":"10.1007/s13222-023-00453-2","DOIUrl":null,"url":null,"abstract":"Geo data portals play a key role in the distribution and exploitation of domain-specific geo data. While such portals are highly specialized, they share a number of common requirements that span from data access and processing to UI components. Geo Engine is able to provide all the necessary parts for portal building. We demonstrate this on a real data portal we built for the dragonfly community and on a Data Science application. In addition, we show its general architecture and outline future improvements.","PeriodicalId":72771,"journal":{"name":"Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13222-023-00453-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Geo data portals play a key role in the distribution and exploitation of domain-specific geo data. While such portals are highly specialized, they share a number of common requirements that span from data access and processing to UI components. Geo Engine is able to provide all the necessary parts for portal building. We demonstrate this on a real data portal we built for the dragonfly community and on a Data Science application. In addition, we show its general architecture and outline future improvements.