Abstract
Vector Tile Table Join Service (VTJS) – cartographic support for the communication of AI results
Highlights
The growth of the Web has been characterised by publication and establishment of linked open data on the Web powered by technologies such as RDF and SPARQL
From a spatial data logistics point of view, a vector tile cache seems to be an optimal source of geographies for a real-time data-integration of “big data extractions”
In order to communicate the results of geospatial AI and machine learning, persistent relations between a feature ID, a geographic object identifier and the cache is needed for any further processing upon the Vector Tile Cache (VTC) and its styling
Summary
Real-time data integration support Maps with its topographic information and the power of spatial structuring help to communicate facts of space. At least the communication of spatial related phenomena will ask for a graphical representation, a map, which can be integrated with the results of big data analysis. The main aim of theses interfaces is to provide unambiguous access to the geographical feature, which is needed for the data integration process of thematic data and create the fundament of map representation.
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