TY - CONF A1 - Meier, Sebastian T1 - Semi-automatic spatial classification of heterogeneous spatial open government data : use case of Germany T2 - Abstracts of the International Cartographic Association N2 - As part of the research project Open Data Cloud Services (ODCS), we have been trying to overcome some of the limitations introduced through the heterogeneity of spatial open government data (sOGD). In this paper we describe some of the challenges of sODG and one of the tools we built to spatially organize heterogenous sOGD, to make it easier for users to find data and automatically integrate it into existing data structures and in the future allow for cross-dataset spatial analysis. KW - Open Government Data KW - Klassifikation KW - Ähnlichkeitssuche KW - Taxonomie KW - Automation Y1 - 2023 UR - https://opus4.kobv.de/opus4-fhpotsdam/frontdoor/index/index/docId/3048 SN - 2570-2106 PB - Copernicus Publications CY - Göttingen ER -