Suitability of Open Street Map (OSM) for 1:50,000 Topographic Map

Relational Generative Topographic Map

The generative topographic mapping (GTM) has been proposed as a statistical model to represent high dimensional data by means of a sparse lattice of points in latent space, such that visualization, compression, and data inspection become possible. Original GTM is restricted to Euclidean data points in a vector space. Often, data are not explicitly embedded in a Euclidean vector space, rather pa...

Affordance-based individuation of junctions in Open Street Map

We propose an algorithm that can be used to identify automatically the subset of street segments of a road network map that corresponds to a junction. The main idea is to use turn-compliant locomotion affordances, i.e., restricted patterns of supported movement, in order to specify junctions independently of their data representation, and in order to motivate tractable individuation and classif...

Seattle Street Map .mxd

MARiO: Multi-Attribute Routing in Open Street Map

In recent years, the Open Street Map (OSM) project collected a large repository of spatial network data containing a rich variety of information about traffic lights, road types, points of interest etc.. Formally, this network can be described as a multi-attribute graph, i.e. a graph considering multiple attributes when describing the traversal of an edge. In this demo, we present our framework...

LOSM: a SPARQL Endpoint to Query Open Street Map

Geographical data is gaining momentum in scientific and industrial communities thanks to the high level and quality of information and knowledge it encodes. The most recent representation of the Linked Open Data cloud shows GeoNames competing with DBpedia as the largest and most linked dataset available in the Web. In the “normal” Web, Open Street Map (OSM) has reached, in the last years, a mat...