Skip to main content
SpringerLink
Log in
Book cover

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems

IEA/AIE 2016: Trends in Applied Knowledge-Based Systems and Data Science pp 344–355Cite as

Exposing Open Street Map in the Linked Data Cloud

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

Abstract

After the mobile revolution, geographical knowledge has getting more and more importance in many location-aware application scenarios. Its popularity influenced also the production and publication of dedicated datasets in the Linked Data (LD) cloud. In fact, its most recent representation shows Geonames competing with DBpedia as the largest and most linked knowledge graph available in the Web. Among the various projects related to the collection and publication of geographical information, as of today, Open Street Map (OSM) is for sure one of the most complete and mature one exposing a huge amount of data which is continually updated in a crowdsourced fashion. In order to make all this knowledge available as Linked Data, we developed LOSM: a SPARQL endpoint able to query the data available in OSM by an on-line translation form syntax to a sequence of calls to the OSM overpass API. The endpoint makes also possible an on-the-fly integration among Open Street Map information and the one contained in external knowledge graphs such as DBpedia, Freebase or Wikidata.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    http://lod-cloud.net.

  2. 2.

    http://linkedgeodata.org/.

  3. 3.

    http://wiki.openstreetmap.org/wiki/Overpass_API.

  4. 4.

    Details on the implemented subset is available at http://sisinflab.poliba.it/semanticweb/lod/losm/losm_grammar.html.

  5. 5.

    https://jena.apache.org/documentation/query/spatial-query.html.

  6. 6.

    [units] can be meters (‘m’ or ‘M’), kilometers (‘km’ or ‘KM’) or miles (‘mi’ or ‘MI’).

  7. 7.

    http://wiki.openstreetmap.org/wiki/Tags.

  8. 8.

    http://dbpedia.org/sparql.

  9. 9.

    http://query.wikidata.org.

  10. 10.

    The reader can find a real example of such scenario in [17] where it is described the Haiti-post-earthquake work done on Open Street Map: volunteers rapidly mapped the affected areas so helping the aid effort. They show the impact of a crowdsourced mapping in such emergency situation. Moreover, Open Street Map has an humanitarian team to deal with emergency situations. They keep updated a page with current and past remote mapping actions (see http://wiki.openstreetmap.org/wiki/Humanitarian_OSM_Team).

  11. 11.

    It is noteworthy the use of the spatial function spatial:nearby, the LOSM predicate losm:refugee and the geo functions geo:lat and geo:long.

  12. 12.

    Note that the returned name is a Japanese name.

  13. 13.

    http://www.w3.org/2005/Incubator/geo/XGR-geo-20071023/W3C_XGR_Geo_files/geo_2007.owl.

  14. 14.

    https://dev.opensahara.com/projects/useekm.

References

  1. ADO: Graphdb (formerly owlim) triple store (2015). http://ontotext.com/products/graphdb/

  2. Auer, S., Lehmann, J., Hellmann, S.: LinkedGeoData: adding a spatial dimension to the web of data. In: Bernstein, A., Karger, D.R., Heath, T., Feigenbaum, L., Maynard, D., Motta, E., Thirunarayan, K. (eds.) ISWC 2009. LNCS, vol. 5823, pp. 731–746. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  3. Battle, R., Kolas, D.: GeoSPARQL: enabling a geospatial semantic web. Semant. Web J. 3(4), 355–370 (2011)

    Google Scholar 

  4. Battle, R., Kolas, D.: Enabling the geospatial semantic web with parliament and GeoSPARQL. Semant. Web 3(4), 355–370 (2012)

    Google Scholar 

  5. Brodt, A., Nicklas, D., Mitschang, B.: Deep integration of spatial query processing into native RDF triple stores. In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 33–42. ACM (2010)

    Google Scholar 

  6. Consortium, O.G.: An introduction to GeoRSS: a standards based approach for geo-enabling RSS feeds. White Paper (2006). http://www.opengeospatial.org/pressroom/pressreleases/580

  7. Andrawos, E., García Berrotarán, G., Carrascosa, R., Alonso i Alemany, L., Durán, H.: Quepy - transform natural language to database queries. http://quepy.machinalis.com/

  8. Ferré, S.: Sparklis: a SPARQL endpoint explorer for expressive question answering. In: ISWC Posters and Demonstrations Track, pp. 45–48. CEUR (2014)

    Google Scholar 

  9. WSWI Group: Basic geo (wgs84 lat/long) vocabulary (2006). http://www.w3.org/2003/01/geo/

  10. Haklay, M., Weber, P.: Openstreetmap: user-generated street maps. IEEE Pervasive Comput. 7(4), 12–18 (2008)

    Article  Google Scholar 

  11. Harth, A., Knoblock, C.A., Stadtmüller, S., Studer, R., Szekely, P.: On-the-fly integration of static and dynamic linked data. In: Proceedings of the Fourth International Workshop on Consuming Linked Data co-located with the 12th International Semantic Web Conference (2013). ISSN 1613-0073

    Google Scholar 

  12. Kyzirakos, K., Karpathiotakis, M., Koubarakis, M.: Strabon: a semantic geospatial DBMS. In: Cudré-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 295–311. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  13. Norton, B., Krummenacher, R., Marte, A., Fensel, D.: Dynamic linked data via linked open services. In: Workshop on Linked Data in the Future Internet at the Future Internet Assembly, pp. 1–10 (2010)

    Google Scholar 

  14. Oracle: Oracle spatial and graph. http://bit.ly/1lvCtWi

  15. Ostuni, V.C., Gentile, G., Di Noia, T., Mirizzi, R., Romito, D., Di Sciascio, E.: Mobile movie recommendations with linked data. In: Cuzzocrea, A., Kittl, C., Simos, D.E., Weippl, E., Xu, L. (eds.) CD-ARES 2013. LNCS, vol. 8127, pp. 400–415. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  16. Patroumpas, K., Giannopoulos, G., Athanasiou, S.: Towards geospatial semantic data management: strengths, weaknesses, and challenges ahead. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 301–310. ACM (2014)

    Google Scholar 

  17. Soden, R., Palen, L.: From crowdsourced mapping to community mapping: the post-earthquake work of openstreetmap haiti. In: Rossitto, C., Ciolfi, L., Martin, D., Conein, B. (eds.) COOP 2014 - Proceedings of the 11th International Conference on the Design of Cooperative Systems, pp. 311–326. Springer, Cham (2014)

    Google Scholar 

  18. OpenLink Software: Virtuoso universal server. http://ontotext.com/products/graphdb/

  19. Speiser, S., Harth, A.: Integrating linked data and services with linked data services. In: Antoniou, G., Grobelnik, M., Simperl, E., Parsia, B., Plexousakis, D., De Leenheer, P., Pan, J. (eds.) ESWC 2011, Part I. LNCS, vol. 6643, pp. 170–184. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  20. Taheriyan, M., Knoblock, C.A., Szekely, P., Ambite, J.L.: Rapidly integrating services into the linked data cloud. In: Cudré-Mauroux, P., et al. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 559–574. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

Download references

Acknowledgements

The authors acknowledge partial support of PON03PE_00136_1 Digital Services Ecosystem: DSE and Progetto Corvallis.

Author information

Authors and Affiliations

  1. Polytechnic University of Bari, Via Orabona, 4, 70125, Bari, Italy

    Vito Walter Anelli & Tommaso Di Noia

  2. Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK

    Andrea Calì

  3. University of Milano-Bicocca, Piazza dell’Ateneo Nuovo, 1, 20126, Milano, Italy

    Matteo Palmonari & Azzurra Ragone

Authors
  1. Vito Walter Anelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrea Calì
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tommaso Di Noia
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Matteo Palmonari
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Azzurra Ragone
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Azzurra Ragone .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Anelli, V.W., Calì, A., Di Noia, T., Palmonari, M., Ragone, A. (2016). Exposing Open Street Map in the Linked Data Cloud. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42007-3_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation