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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

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Computational Science and Its Applications -- ICCSA 2016 (ICCSA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9788))

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Abstract

The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through use cases in disaster management and planned land use that are significantly different. This paper illustrates the work that firstly follows existing Semantic Web standards when dealing with vector geodata and secondly extends current standards when dealing with raster geodata and more advanced geospatial operations.

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Notes

  1. 1.

    http://geoknow.eu/Welcome.html.

  2. 2.

    https://www.w3.org.

  3. 3.

    https://www.w3.org/2001/sw/wiki/Pellet.

  4. 4.

    https://www.w3.org/TR/owl-guide/.

  5. 5.

    https://www.w3.org/RDF/.

  6. 6.

    http://www.geonames.org.

  7. 7.

    http://linkedgeodata.org/About.

  8. 8.

    http://www.openstreetmap.org.

  9. 9.

    http://dbpedia.org.

  10. 10.

    https://www.w3.org/TR/rdf-sparql-query/.

  11. 11.

    World Wide Web Consortium.

  12. 12.

    https://www.w3.org/TR/r2rml/, https://www.w3.org/TR/rdb-direct-mapping/.

  13. 13.

    http://aksw.org/Projects/Sparqlify.html.

  14. 14.

    http://rhizomik.net/html/redefer/.

  15. 15.

    http://www.srdc.com.tr/projects/salus/blog/?p=189.

  16. 16.

    http://www.ieee-icsc.org/ICSC2011/slides/XSD2OWL_Patterns_ICSC2011.pdf.

  17. 17.

    http://geoknow.eu/Welcome.html.

  18. 18.

    Example Codelists of INSPIRE: http://inspire.ec.europa.eu/codelist/.

  19. 19.

    Quantities, Units, Dimensions and Data Types Ontology: http://www.qudt.org/.

  20. 20.

    http://www.opengeospatial.org/standards/geosparql.

  21. 21.

    Extract Transfer Load.

  22. 22.

    http://www.iai.fzk.de/www-extern/index.php?id=680&L=1.

References

  1. GeoSPARQL - a geography query language for RDF data (2016). http://www.opengeospatial.org/standards/geosparql. Accessed 17 Mar 2016

  2. National Strategy for Critical Infrastructure Protection (CIP Strategy)

    Google Scholar 

  3. Socop, geospatial ontologies (2016). http://ontolog.cim3.net/cgi-bin/wiki.pl?SOCoP/GeospatialOntologies. Accessed 16 Mar 2016

  4. Arpinar, I.B., Sheth, A., Ramakrishnan, C., Usery, L., Azami, M.: Po kwan, M.: Geospatial ontology development and semantic analytics. In: Transactions in GIS, pp. 1–15. Blackwell Publishing, Boston (2005)

    Google Scholar 

  5. Athanasiou, S., Hladky, D., Giannopoulos, G., Garcia-Rojas, A., Lehmann, J.: GeoKnow: making the web an exploratory place for geospatial knowledge. Eur. Res. Consortium Inf. Math. News 96, 12–13 (2014)

    Google Scholar 

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

    Google Scholar 

  7. Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Sci. Am. 284(5), 34–43 (2001). http://www.sciam.com/article.cfm?articleID=00048144-10D2-1C70-84A9809EC588EF21

    Article  Google Scholar 

  8. Bizid, I., Faiz, S., Boursier, P., Yusuf, J.C.M.: Integration of heterogeneous spatial databases for disaster management. In: Parsons, J., Chiu, D. (eds.) ER Workshops 2013. LNCS, vol. 8697, pp. 77–86. Springer, Heidelberg (2014). http://dx.doi.org/10.1007/978-3-319-14139-8_10

    Google Scholar 

  9. Bossomaier, T., Hope, B.A.: Online GIS and Spatial Metadata. CRC Press, Boca Raton (2015)

    Google Scholar 

  10. Coppola, D.P.: Introduction to International Disaster Management. Elsevier, Burlington (2011)

    Google Scholar 

  11. Cruz, I.F.: Geospatial data integration. Department of Computer Science, University of Illinois, Chicago, ADVIS Lab (2004)

    Google Scholar 

  12. García-Castro, R., Gómez-Pérez, A., Munoz-Garcia, O.: The semantic web framework: a component-based framework for the development of semantic web applications. In: 2008 19th International Workshop on Database and Expert Systems Application, DEXA 2008, pp. 185–189. IEEE (2008)

    Google Scholar 

  13. Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5(2), 199–220 (1993). http://dx.doi.org/10.1006/knac.1993.1008

    Article  Google Scholar 

  14. Hacherouf, M., Bahloul, S.N., Cruz, C.: Transforming XML documents to OWL ontologies: a survey. J. Inf. Sci. 41(2), 242–259 (2015). http://dx.doi.org/10.1177/0165551514565972

    Article  Google Scholar 

  15. Howard, M., P.S.S.R.: Technical guidance for the INSPIRE schema transformation network service. version: 3.0, ec JRC contract notice 2009/s 107–153973 (2010)

    Google Scholar 

  16. Karmacharya, A.: Introduction of a spatial layer in the Semantic Web framework: a proposition through the Web platform ArchaeoKM. Ph.D. thesis, Le2i Laboratoire Electronique, Informatique et Image, University of Bourgogne (2011)

    Google Scholar 

  17. Lenzerini, M.: Data integration: a theoretical perspective. In: Proceedings of the Twenty-First ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2002, pp. 233–246. ACM, NY, USA (2002). http://doi.acm.org/10.1145/543613.543644

  18. Müller, H., Würriehausen, F.: Semantic interoperability of German and European land-use information. In: Murgante, B., Misra, S., Carlini, M., Torre, C.M., Nguyen, H.-Q., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) ICCSA 2013, Part III. LNCS, vol. 7973, pp. 309–323. Springer, Heidelberg (2013). http://dx.doi.org/10.1007/978-3-642-39646-5_23

    Chapter  Google Scholar 

  19. Navigli, R., Ponzetto, S.P.: Babelnet: building a very large multilingual semantic network. In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 216–225. Association for Computational Linguistics (2010)

    Google Scholar 

  20. OGC: OGC geosparql - a geographic query language for RDF data. Technical report (2011)

    Google Scholar 

  21. Rase, D., Björnsson, A., Probert, M., Haupt, M.: Reference data and metadata position paper. Inspire RDM PP v4–3 en. European Commission, Joint Research Centre (2002)

    Google Scholar 

  22. Waters, R., Beare, M., Walker, R., Millot, M.: Schema transformation for INSPIRE. Int. J. Spat. Data Infrastruct. Res. 6, 1–22 (2011)

    Google Scholar 

  23. Specifications, D.T.D.: D2.3: definition of annex themes and scope v3.0., European union (2008)

    Google Scholar 

  24. Stadler, C., Lehmann, J., Höffner, K., Auer, S.: Linkedgeodata: a core for a web of spatial open data. Seman. Web J. 3(4), 333–354 (2012). http://jens-lehmann.org/files/2012/linkedgeodata2.pdf

    Google Scholar 

  25. Tschirner, S., Scherp, A., Staab, S.: Semantic access to INSPIRE. In: Terra Cognita 2011 Workshop Foundations, Technologies and Applications of the Geospatial Web, p. 75. Citeseer (2011)

    Google Scholar 

  26. Tsinaraki, C., Christodoulakis, S.: XS2OWL: a formal model and a system for enabling XML schema applications to interoperate with OWL-DL domain knowledge and semantic web tools. In: Thanos, C., Borri, F., Candela, L. (eds.) Digital Libraries: Research and Development. LNCS, vol. 4877, pp. 124–136. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  27. Würriehausen, F., Karmacharya, A., Müller, H.: Using ontologies to support land-use spatial data interoperability. In: Murgante, B., et al. (eds.) ICCSA 2014, Part II. LNCS, vol. 8580, pp. 453–468. Springer, Heidelberg (2014). http://dx.doi.org/10.1007/978-3-319-09129-7_34

    Google Scholar 

  28. Zhao, T., Zhang, C., Wei, M., Peng, Z.-R.: Ontology-based geospatial data query and integration. In: Cova, T.J., Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F. (eds.) GIScience 2008. LNCS, vol. 5266, pp. 370–392. Springer, Heidelberg (2008). http://dx.doi.org/10.1007/978-3-540-87473-7_24

    Chapter  Google Scholar 

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Acknowledgements

This project was funded by the German Federal Ministry of Education and Research (https://www.bmbf.de/en/index.html Project Reference: 03FH032IX4).

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Authors and Affiliations

  1. Mainz University of Applied Sciences, Lucy-Hillebrand-Straße 2, 55128, Mainz, Germany

    Timo Homburg, Claire Prudhomme, Falk Würriehausen, Ashish Karmacharya & Frank Boochs

  2. Université de Bourgogne, 9 Avenue Alain Savary, 21000, Dijon, France

    Ana Roxin & Christophe Cruz

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  1. Timo Homburg
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Correspondence to Timo Homburg .

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Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  5. Polytechnic University, Bari, Italy

    Carmelo M. Torre

  6. Monash University, Clayton, Victoria, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  9. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

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Homburg, T. et al. (2016). Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-42111-7_19

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