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Republishing OpenStreetMap’s roads as linked routable tiles

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Abstract
Route planning providers manually integrate different geo-spatial datasets before offering a Web service to developers, thus creating a closed world view. In contrast, combining open datasets at runtime can provide more information for user-specific route planning needs. For example, an extra dataset of bike sharing availabilities may provide more relevant information to the occasional cyclist. A strategy for automating the adoption of open geo-spatial datasets is needed to allow an ecosystem of route planners able to answer more specific and complex queries. This raises new challenges such as (i) how open geo-spatial datasets should be published on the Web to raise interoperability, and (ii) how route planners can discover and integrate relevant data for a certain query on the fly. We republished OpenStreetMap's road network as "Routable Tiles" to facilitate its integration into open route planners. To achieve this, we use a Linked Data strategy and follow an approach similar to vector tiles. In a demo, we show how client-side code can automatically discover tiles and perform a shortest path algorithm. We provide four contributions: (i) we launched an open geo-spatial dataset that is available for everyone to reuse at no cost, (ii) we published a Linked Data version of the OpenStreetMap ontology, (iii) we introduced a hypermedia specification for vector tiles that extends the Hydra ontology, and (iv) we released the mapping scripts, demo and routing scripts as open source software.
Keywords
Smart cities, Open data, Linked open data, Route planning, Journey planning, Mobility as a service

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MLA
Colpaert, Pieter, et al. “Republishing OpenStreetMap’s Roads as Linked Routable Tiles.” SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS, edited by Pascal Hitzler et al., vol. 11762, Springer, 2019, pp. 13–17, doi:10.1007/978-3-030-32327-1_3.
APA
Colpaert, P., Abelshausen, B., Rojas Melendez, J. A., Delva, H., & Verborgh, R. (2019). Republishing OpenStreetMap’s roads as linked routable tiles. In P. Hitzler, S. Kirrane, O. Hartig, V. de Boer, M.-E. Vidal, M. Maleshkova, … R. Verborgh (Eds.), SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS (Vol. 11762, pp. 13–17). Portorož, Slovenia: Springer. https://doi.org/10.1007/978-3-030-32327-1_3
Chicago author-date
Colpaert, Pieter, Ben Abelshausen, Julian Andres Rojas Melendez, Harm Delva, and Ruben Verborgh. 2019. “Republishing OpenStreetMap’s Roads as Linked Routable Tiles.” In SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS, edited by Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, et al., 11762:13–17. Springer. https://doi.org/10.1007/978-3-030-32327-1_3.
Chicago author-date (all authors)
Colpaert, Pieter, Ben Abelshausen, Julian Andres Rojas Melendez, Harm Delva, and Ruben Verborgh. 2019. “Republishing OpenStreetMap’s Roads as Linked Routable Tiles.” In SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS, ed by. Pascal Hitzler, Sabrina Kirrane, Olaf Hartig, Victor de Boer, Maria-Esther Vidal, Maria Maleshkova, Stefan Schlobach, Karl Hammar, Nelia Lasierra, Steffen Stadtmüller, Katja Hose, and Ruben Verborgh, 11762:13–17. Springer. doi:10.1007/978-3-030-32327-1_3.
Vancouver
1.
Colpaert P, Abelshausen B, Rojas Melendez JA, Delva H, Verborgh R. Republishing OpenStreetMap’s roads as linked routable tiles. In: Hitzler P, Kirrane S, Hartig O, de Boer V, Vidal M-E, Maleshkova M, et al., editors. SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS. Springer; 2019. p. 13–7.
IEEE
[1]
P. Colpaert, B. Abelshausen, J. A. Rojas Melendez, H. Delva, and R. Verborgh, “Republishing OpenStreetMap’s roads as linked routable tiles,” in SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS, Portorož, Slovenia, 2019, vol. 11762, pp. 13–17.
@inproceedings{8629605,
  abstract     = {Route planning providers manually integrate different geo-spatial datasets before offering a Web service to developers, thus creating a closed world view. In contrast, combining open datasets at runtime can provide more information for user-specific route planning needs. For example, an extra dataset of bike sharing availabilities may provide more relevant information to the occasional cyclist. A strategy for automating the adoption of open geo-spatial datasets is needed to allow an ecosystem of route planners able to answer more specific and complex queries. This raises new challenges such as (i) how open geo-spatial datasets should be published on the Web to raise interoperability, and (ii) how route planners can discover and integrate relevant data for a certain query on the fly. We republished OpenStreetMap's road network as "Routable Tiles" to facilitate its integration into open route planners. To achieve this, we use a Linked Data strategy and follow an approach similar to vector tiles. In a demo, we show how client-side code can automatically discover tiles and perform a shortest path algorithm. We provide four contributions: (i) we launched an open geo-spatial dataset that is available for everyone to reuse at no cost, (ii) we published a Linked Data version of the OpenStreetMap ontology, (iii) we introduced a hypermedia specification for vector tiles that extends the Hydra ontology, and (iv) we released the mapping scripts, demo and routing scripts as open source software.},
  author       = {Colpaert, Pieter and Abelshausen, Ben and Rojas Melendez, Julian Andres and Delva, Harm and Verborgh, Ruben},
  booktitle    = {SEMANTIC WEB: ESWC 2019 SATELLITE EVENTS},
  editor       = {Hitzler, Pascal and Kirrane, Sabrina and Hartig, Olaf and de Boer, Victor and Vidal, Maria-Esther and Maleshkova, Maria and Schlobach, Stefan and Hammar, Karl and Lasierra, Nelia and Stadtmüller, Steffen and Hose, Katja and Verborgh, Ruben},
  isbn         = {9783030323264},
  issn         = {0302-9743},
  keywords     = {Smart cities,Open data,Linked open data,Route planning,Journey planning,Mobility as a service},
  language     = {eng},
  location     = {Portorož, Slovenia},
  pages        = {13--17},
  publisher    = {Springer},
  title        = {Republishing OpenStreetMap’s roads as linked routable tiles},
  url          = {http://dx.doi.org/10.1007/978-3-030-32327-1_3},
  volume       = {11762},
  year         = {2019},
}

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