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Multi-Paradigm Reasoning for Access to Heterogeneous GIS

Accessing and querying geographical data in a uniform way has become easier in recent years. Emerging standards like WFS turn 
the web into a geospatial web services enabled place. Mediation 
architectures like VirGIS overcome syntactical and semantical heterogeneity 
between several distributed sources. On mobile devices, 
however, this kind of solution is not suitable, due to limitations, 
mostly regarding bandwidth, computation power, and available storage 
space. The aim of this paper is to present a solution for providing 
powerful reasoning mechanisms accessible from mobile applications 
and involving data from several heterogeneous sources. 
By adapting contents to time and location, mobile web information 
systems can not only increase the value and suitability of the 
service itself, but can substantially reduce the amount of data delivered 
to users. Because many problems pertain to infrastructures 
and transportation in general and to way finding in particular, one 
cornerstone of the architecture is higher level reasoning on graph 
networks with the Multi-Paradigm Location Language MPLL. A 
mediation architecture is used as a “graph provider” in order to 
transfer the load of computation to the best suited component – 
graph construction and transformation for example being heavy on 
resources. Reasoning in general can be conducted either near the 
“source” or near the end user, depending on the specific use case. 
The concepts underlying the proposal described in this paper are 
illustrated by a typical and concrete scenario for web applications.