Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Linked Geospatial Data

Living reference work entry
First Online:
DOI: https://doi.org/10.1007/978-3-319-63962-8_71-1
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Abstract

Huge amounts of geospatial data have been made freely available recently on the Web, for example, maps from geospatial search engines like Google Maps, images from satellites, open geospatial data from national cartographic agencies, and user-contributed geospatial content from social networks. This article surveys the state of the art in the area of linked geospatial data, i.e., geospatial data made available on the Web using linked data technologies such as RDF and SPARQL and interlinked with other Web data to increase its value for users and applications.

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References

  1. Allen JF (1983) Maintaining knowledge about temporal intervals. Commun ACM 26(11):832–843Google Scholar
  2. Atemezing GA, Troncy R (2014) Towards a linked-data based visualization wizard. In: Proceedings of the 5th international workshop on consuming linked dataGoogle Scholar
  3. Batsakis S, Petrakis EGM (2010) SOWL: spatio-temporal representation, reasoning and querying over the semantic web. In: Proceedings of the 6th international conference on semantic systemsGoogle Scholar
  4. Bereta K, Koubarakis M (2016) Ontop of geospatial databases. In: Proceedings of the 15th international semantic web conference, pp 37–52Google Scholar
  5. Bereta K, Smeros P, Koubarakis M (2013) Representation and querying of valid time of triples in linked geospatial data. In: Proceedings of the 10th international conference on the semantic web: semantics and big data, pp 259–274Google Scholar
  6. Brodt A, Nicklas D, Mitschang B (2010) Deep integration of spatial query processing into native RDF triple stores. In: Proceedings of the 18th ACM SIGSPATIAL international symposium on advances in geographic information systems, pp 33–42Google Scholar
  7. Brüggemann S, Bereta K, Xiao G, Koubarakis M (2016) Ontology-based data access for maritime security. In: Proceedings of the 13th international conference on the semantic web: latest advances and new domains, pp 741–757Google Scholar
  8. Brunetti JM, Auer S, González RG, Klímek J, Necaský M (2013) Formal linked data visualization model. In: Proceedings of the 15th international conference on information integration and web-based applications & servicesGoogle Scholar
  9. Burgstaller S, Angermair W, Niggemann F, Migdall S, Bach H, Vlahopoulos I, Savva D, Smeros P, Stamoulis G, Bereta K, Koubarakis M (2017) LEOpatra: a mobile application for smart fertilization based on linked data. In: Proceedings of the 8th international conference on information and communication technologies in agriculture, food and environmentGoogle Scholar
  10. Calvanese D, Cogrel B, Komla-Ebri S, Kontchakov R, Lanti D, Rezk M, Rodriguez-Muro M, Xiao G (2017) Ontop: answering SPARQL queries over relational databases. Semantic Web 8(3):471–487Google Scholar
  11. Clementini E, Di Felice P, van Oosterom P (1993) A small set of formal topological relationships suitable for end-user interaction. In: Proceedings of the 3rd international symposium on advances in spatial databases, pp 277–295Google Scholar
  12. Egenhofer MJ, Franzosa RD (1991) Point set topological relations. Int J Geogr Inf Syst 5(2):161–174Google Scholar
  13. Espinoza-Molina D, Nikolaou C, Dumitru CO, Bereta K, Koubarakis M, Schwarz G, Datcu M (2015) Very-high-resolution SAR images and linked open data analytics based on ontologies. IEEE J Sel Topics Appl Earth Observ Remote Sens 8(4):1696–1708Google Scholar
  14. Garbis G, Kyzirakos K, Koubarakis M (2013) Geographica: a benchmark for geospatial RDF stores. In: Proceedings of the 12th international semantic web conference, pp 343–359Google Scholar
  15. Gutierrez C, Hurtado CA, Vaisman AA (2007) Introducing time into RDF. IEEE Trans Knowl Data Eng 19(2):207–218Google Scholar
  16. Imieliński T, Lipski W Jr (1984) Incomplete information in relational databases. J ACM 31(4):761–791. ISSN:0004-5411Google Scholar
  17. Karpathiotaki M, Dogani K, Koubarakis M, Valentin B, Mazzetti P, Santoro M, Di Franco S (2014) Semantic search for Earth observation products using ontology services. In: Proceedings of the 8th international conference on web reasoning and rule systems, pp 173–178Google Scholar
  18. Klímek J, Helmich J, Necaský M (2014) Application of the linked data visualization model on real world data from the Czech LOD cloud. In: Proceedings of the workshop on linked data on the webGoogle Scholar
  19. Kolas D, Self T (2007) Spatially-augmented knowledgebase. In: Proceedings of the 6th international semantic web conference and 2nd asian semantic web conference, pp 792–801Google Scholar
  20. Koubarakis M, Kyzirakos K (2010) Modeling and querying metadata in the semantic sensor web: the model stRDF and the query language stSPARQL. In: Proceedings of the 7th extended semantic web conference on the semantic web: research and applications, pp 425–439Google Scholar
  21. Koubarakis M, Kontoes C, Manegold S (2013) Real-time wildfire monitoring using scientific database and linked data technologies. In: Proceedings of the joint 2013 EDBT/ICDT conferences, pp 649–660Google Scholar
  22. Kyzirakos K, Karpathiotakis M, Koubarakis M (2012) Strabon: a semantic geospatial DBMS. In: Proceedings of the 11th international semantic web conference, pp 295–311Google Scholar
  23. Lutz C, Milicic M (2007) A tableau algorithm for description logics with concrete domains and general TBoxes. J Autom Reason 38(1–3):227–259Google Scholar
  24. Meiri I (1996) Combining qualitative and quantitative constraints in temporal reasoning. Artif Intell 87 (1–2):343–385Google Scholar
  25. Mutlu B, Höfler P, Sabol V, Tschinkel G, Granitzer M (2013) Automated visualization support for linked research data. In: Proceedings of the I-SEMANTICS’13 posters & demonstrations track, pp 40–44Google Scholar
  26. Mylopoulos J, Borgida A, Jarke M, Koubarakis M (1990) Telos: representing knowledge about information systems. ACM Trans Inf Syst 8(4):325–362Google Scholar
  27. Nikolaou C, Koubarakis M (2013) Incomplete information in RDF. In: Proceedings of the 7th international conference on web reasoning and rule systems, pp 138–152Google Scholar
  28. Nikolaou C, Koubarakis M (2016) Querying incomplete information in RDF with SPARQL. Artif Intell 237:138–171Google Scholar
  29. Nikolaou C, Dogani K, Bereta K, Garbis G, Karpathiotakis M, Kyzirakos K, Koubarakis M (2015) Sextant: visualizing time-evolving linked geospatial data. J Web Semant 35:35–52Google Scholar
  30. Open Geospatial Consortium OGC (2012) GeoSPARQL – a geographic query language for RDF data. OGC Implementation Standard, Sept 2012Google Scholar
  31. Perry M, Hakimpour F, Sheth AP (2006) Analyzing theme, space, and time: an ontology-based approach. In: Proceedings of the 14th ACM international symposium on geographic information systems, pp 147–154Google Scholar
  32. Perry M, Jain P, Sheth AP (2011) SPARQL-ST: extending SPARQL to support spatiotemporal queries. In: Geospatial semantics and the semantic web – foundations, algorithms, and applications, pp 61–86Google Scholar
  33. Randell DA, Cui Z, Cohn AG (1992) A spatial logic based on regions and connection. In: Proceedings of the 3rd international conference on principles of knowledge representation and reasoning, pp 165–176Google Scholar
  34. Thellmann K, Galkin M, Orlandi F, Auer S (2015) LinkDaViz – automatic binding of linked data to visualizations. In: Proceedings of the 14th international semantic web conference, pp 147–162Google Scholar
  35. Wessel M, Möller R (2009) Flexible software architectures for ontology-based information systems. J Appl Logic 7(1):75–99CrossRefzbMATHGoogle Scholar

Authors and Affiliations

  1. 1.Department of Informatics and TelecommunicationsNational and Kapodistrian University of AthensAthensGreece
  2. 2.Department of Computer ScienceUniversity of OxfordOxfordUK

Section editors and affiliations

  • Timos Sellis
    • 1
  • Aamir Cheema
    • 1
  1. 1.Data Science Research InstituteSwinburne University of TechnologyMelbourneAustralia