![]() Visualization of linked geospatial and temporal data.Creating spatial and temporal links between entities from different data sources.Using ontologies and mappings without data materialization into RDF. ![]() Connecting to existing geospatial databases and posing GeoSPARQL queries on-the-fly.Storing and querying linked geospatial and temporal data, using stSPARQL/GeoSPARQL.Converting data from arbitrary geospatial formats (e.g., shapefiles, KML, geospatial.Extracting knowledge from Earth Observation data.Observation data e.g., data from the Sentinel satellites of the European Copernicus program. These technological innovations have been deployed in many applications dealing with Earth Interlinking and visualizing big linked geospatial and temporal Earth observation data. Years, we have developed state-of-the-art technologies and tools for managing, processing, Artificial Intelligence Technologies for Earth Observation.The present web pages present our recent research and development activities in the following Our work focuses on various topics of Artificial Intelligence and it is done under the Data, Information and Knowledge Group (MaDgIK) of the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens.
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