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

被引:13
作者
Ronzhin, Stanislav [1 ]
Folmer, Erwin [2 ]
Lemmens, Rob [1 ,3 ]
Mellum, Roy [3 ]
von Brasch, Thomas Ellett
Martin, Eduardo [4 ]
Romero, Emilio Lopez [4 ]
Kyto, Samuli [5 ]
Hietanen, Eero [5 ]
Latvala, Pekka [5 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat, Enschede, Netherlands
[2] Kadaster, Apeldoorn, Netherlands
[3] Kartverket, Honefoss, Norway
[4] Natl Ctr Geog Informat, Madrid, Spain
[5] Natl Land Survey Finland, Helsinki, Finland
来源
INTERNATIONAL JOURNAL OF SPATIAL DATA INFRASTRUCTURES RESEARCH | 2019年 / 14卷
关键词
OpenELS; Geospatial Linked Data; INSPIRE; Spatial Data Infrastructure; SDI; SEMANTICS;
D O I
10.2902/1725-0463.2019.14.art4
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
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.
引用
收藏
页码:83 / 107
页数:25
相关论文
共 30 条
[1]  
[Anonymous], 2014, W3C RECOMMENDATION
[2]  
Atkinson R., 2017, QB4st: RDF Data Cube Extensions for Spatio-Temporal Components
[3]  
Battista A, 2010, P 6 INT C SEM SYST 1, P36, DOI [10.1145/1839707.1839753, DOI 10.1145/1839707.1839753]
[4]   Enabling the geospatial Semantic Web with Parliament and GeoSPARQL [J].
Battle, Robert ;
Kolas, Dave .
SEMANTIC WEB, 2012, 3 (04) :355-370
[5]  
Berners-Lee T., 2006, Linked Data-Design Issues
[6]   Linked Data - The Story So Far [J].
Bizer, Christian ;
Heath, Tom ;
Berners-Lee, Tim .
INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2009, 5 (03) :1-22
[7]  
Brunetti J.M., 2013, Proceedings of International Conference on Information Integration and Web-based Applications, IIWAS'13, P309, DOI DOI 10.1145/2539150.2539162
[8]   The economic value of the Dutch geo-information sector [J].
Castelein, W. T. ;
Bregt, A. K. ;
Pluijmers, Y. .
INTERNATIONAL JOURNAL OF SPATIAL DATA INFRASTRUCTURES RESEARCH, 2010, 5 :58-76
[9]   Ireland's Authoritative Geospatial Linked Data [J].
Debruyne, Christophe ;
Meehan, Alan ;
Clinton, Eamonn ;
McNerney, Lorraine ;
Nautiyal, Atul ;
Lavin, Peter ;
O'Sullivan, Declan .
SEMANTIC WEB - ISWC 2017, PT II, 2017, 10588 :66-74
[10]  
Fielding R., 1999, RFC2616, DOI [10.17487/rfc2616, DOI 10.17487/RFC2616]