In particular, it allows the integration of the early SOLAP
solutions into the mainstream of spatial data production which is highly more complex
than perceived at first sight. To further advance knowledge and to improve
SOLAP applicability to complex interoperable environments, it is necessary to
merge knowledge from the geomatics and the computer science communities. We
expect that the most significant trends will emerge from this combination. From a
scientific point of view, these trends would include the support of highly efficient
building of spatial datacubes (i.e., without human intervention), real-time SOLAP,
mobile SOLAP, spatial dashboards, and spatially constrained data mining. From
a commercial point of view, trends are likely to follow the typical evolution from
bridging separate technologies (OLAP-centric or GIS-centric) into more integrated
solutions (bidirectional bridges with common user interface) into fully integrated
technologies that interoperate via Web services and interoperate with spatial legacy
systems. It is to contribute to these trends that we have put forward a major NSERC
Industrial Research Chair and that we invite the interested readers to collaborate
with us on the projects mentioned here.
Acknowledgments
We recognize the financial support of Canada NSERC Industrial Research Chair
in Geospatial Databases for Decision-Support and its partners (http://mdspatialdb.
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