Best practices for publishing, retrieving, and using spatial data on the web

van den Brink, Linda; Barnaghi, Payam; Jeremy Tandy; Atemezing, Ghislain; Atkinson, Rob; Cochrane, Byron; Fathy, Yasmin; Garcia Castro, Raul; Haller, Armin; Harth, Andreas; Janowicz, Krzysztof; Kolozali, Sefki; van Leeuwen, Bart; Lefrançois, Maxime; Lieberman, Josh; Perego, Andrea; Le-Phuoc, Danh; Roberts, Bill; Taylor, Kerry; Troncy, Raphaël
Semantic Web, IOS Press, 28 December 2018, Vol.10, N°1, 2019

Data owners are creating an ever richer set of information resources online, and these are being used for more and more applications. Spatial data on the Web is becoming ubiquitous and voluminous with the rapid growth of location-based services, spatial technologies, dynamic location-based data and services published by different organizations. However, the heterogeneity and the peculiarities of spatial data, in particular, make it difficult for data users, Web applications, and services to discover, interpret and use the information in the large and distributed system that is the Web. To make spatial data more effectively available, this paper summarizes the work of the joint W3C/OGC Working Group on Spatial Data on the Web that identifies 14 best practices for publishing spatial data on the Web. The paper extends that work by presenting the identified challenges and rationale for selection of the recommended best practices, framed by the set of principles that guided the selection. It describes best practices that are employed to enable publishing, discovery and retrieving (querying) spatial data on the Web, and identifies some areas where a best practice has not yet emerged.

Data Science
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© IOS Press. Personal use of this material is permitted. The definitive version of this paper was published in Semantic Web, IOS Press, 28 December 2018, Vol.10, N°1, 2019 and is available at :
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