Abstract
Hierarchical representations of transportation networks should provide a better understanding of mobility patterns and the underlying structures at various abstraction levels. This paper introduces a hierarchical graph-based model for representing moving objects and trajectories according to multiple spatial, temporal and semantic scales. This formal model is implemented in a graph database and experimented with historical maritime data. Several experimental analyses explore and extract knowledge patterns from the hierarchical graph database. A series of queries applied to an European maritime network derive mobility patterns and highlight network structures.
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