Abstract
We present a method for extracting road network data that has been crowdsourced in the OpenStreetMap project and transform it into a road network that is stored as a graph database. We propose an algorithm for the transformation, discuss opportunities for semantic enrichment of the road network, and for restricting the transformation to geographic regions of interest. Our approach is guided by a conceptual schema. To evaluate the practicability of our approach we have implemented it in a prototype tool, and conducted experiments that demonstrate the scalability.
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CITATION STYLE
Steinmetz, D., Dyballa, D., Ma, H., & Hartmann, S. (2018). Using a conceptual model to transform road networks from openstreetmap to a graph database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11157 LNCS, pp. 301–315). Springer Verlag. https://doi.org/10.1007/978-3-030-00847-5_22
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