GeoSpatial Intelligence on a Graph
Tharik Kanaka1, PPG Dinesh Asanka2
Journal of Multimedia Processing and Technologies, Vol. 6, No. 2, 2015.
DOI: 
Link: http://www.dline.info/jmpt/fulltext/v6n2/v6n2_1.pdf
Abstract:
There is a gap when representing detailed information related to public on maps due to limitations of
underlying data sources. The purpose of this research is to scan the research output on Geographical Information Systems
(GIS) and relational databases, then develop an implementation by combining these two technologies GIS and graph
databases in order to fill the identified research gap. The outcome of this implementation is a central Geospatial intelligence
on graph which delivers benefits in the context of multiple data source integration and open sources.