Next Generation of Spatial Data Infrastructure: Lessons from Linked Data implementations across Europe

The need for integration of geospatial data across national borders poses questions on how to overcome technical and organizational barriers between national mapping agencies. Existing National Spatial Data Infrastructures (NSDIs) inherited heterogeneous technology stacks and user cultures. Example integration solutions are based on cascading data services on the Web using open standards. However, this approach is often cumbersome since it requires substantial efforts aimed at harmonisation of data structures and semantics of the content between NSDIs. In contrast, the Linked Data technology as an innovative approach for publishing heterogeneous data sources on the Web is able to transcend the traditional confines of separate databases, as well as, the confines of separate institutions - keeping existing infrastructures intact. Moreover, exposing national data as Linked Data on the Web makes it a part of the Semantic Web. This allows shifting focus from collection and dissemination of data to meaningful data consumption. Here, we present and discuss the results of the Open European Location Services project, a collaboration between the national mapping agencies of Finland, the Netherlands, Norway, and Spain which is aimed at demonstrating the capabilities of Linked Data technology in the context of Pan-European geospatial data provision.

[1]  Jantien E. Stoter,et al.  Linking spatial data: automated conversion of geo-information models and GML data to RDF , 2014, Int. J. Spatial Data Infrastructures Res..

[2]  Arnold Bregt,et al.  The economic value of the Dutch geo-information sector , 2010, Int. J. Spatial Data Infrastructures Res..

[3]  Jaakko Kähkönen,et al.  Cascading Geospatial Services for integration of authoritative national datasets - CASE: European Location Framework , 2015 .

[4]  J. Goodwin,et al.  Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web , 2008 .

[5]  Armin Haller,et al.  Best practices for publishing, retrieving, and using spatial data on the web , 2018, Semantic Web.

[6]  Wouter Beek,et al.  Linked Data Viewing as part of the Spatial Data Platform of the Future , 2018 .

[7]  Glen Hart,et al.  Geospatial semantics and linked spatiotemporal data - Past, present, and future , 2012, Semantic Web.

[8]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[9]  Wouter Beek,et al.  Kadaster Data Platform - Overview Archicture , 2017 .

[10]  Simon Scheider,et al.  Making the Web of Data Available Via Web Feature Services , 2014, AGILE Conf..

[11]  Freddy Priyatna,et al.  Geographical linked data: a Spanish use case , 2010, I-SEMANTICS '10.

[12]  Martin Necaský,et al.  Formal Linked Data Visualization Model , 2013, IIWAS '13.

[13]  Dave Kolas,et al.  GeoSPARQL : Enabling a Geospatial Semantic Web , 2011 .

[14]  Roy T. Fielding,et al.  Hypertext Transfer Protocol - HTTP/1.0 , 1996, RFC.

[15]  Marcelo Arenas,et al.  Semantics and Complexity of SPARQL , 2006, International Semantic Web Conference.

[16]  Wouter Beek,et al.  Enhancing the Usefulness of Open Governmental Data with Linked Data Viewing Techniques , 2019, HICSS.

[17]  S. Sudarshan,et al.  Data models , 1996, CSUR.

[18]  Christophe Debruyne,et al.  Ireland's Authoritative Geospatial Linked Data , 2017, International Semantic Web Conference.

[19]  Rob Lemmens,et al.  Technological Aspects of (Linked) Open Data , 2018 .

[20]  Christoph Stasch,et al.  Semantic Enablement for Spatial Data Infrastructures , 2010, Trans. GIS.

[21]  Schade Sven,et al.  Augmenting SDI with Linked Data , 2010 .

[22]  Alenka Krek Geographic Information as an Economic Good , 2005 .