The linked open data cloud is constantly evolving as datasets get continuously updated with
newer versions. As a result, representing, querying, and visualizing the temporal dimension
of linked data is crucial. This is especially important for geospatial datasets that form the
backbone of large scale open data publication efforts in many sectors of the economy (eg,
the public sector, the Earth Observation sector). Although there has been some work on the
representation and querying of linked geospatial data that change over time, to the best of …

Linked geospatial data has recently received attention as researchers and practitioners
have started tapping the wealth of geospatial information available on the Web. With the
rapid population of the Web of data with geospatial information, applications to manage it
have also started to emerge. What the semantic geospatial web lacks, though, compared to
the technological arsenal of the traditional GIS area are the tools that aid researchers and
practitioners in making use of this ocean of geospatial data. In this demo paper, we present …