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Review

Towards Self-Service GIS—Combining the Best of the Semantic Web and Web GIS

1
Department of Geosciences, Kadaster & Utrecht University, 3584 CS Utrecht, The Netherlands
2
Department of Behavioural, Management and Social Sciences (BMS), Kadaster & University of Twente, 7500 AE Enschede, The Netherlands
3
Kadaster & TriplyDB, 1043 BP Amsterdam, The Netherlands
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(12), 753; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120753
Received: 30 October 2020 / Revised: 4 December 2020 / Accepted: 11 December 2020 / Published: 15 December 2020
(This article belongs to the Special Issue Spatial Data Infrastructure for Distributed Management and Processing)
The field of geographic information science has grown exponentially over the last few decades and, particularly within the context of the pervasiveness of the internet, bears witness to a rapid transition of its associated technologies from stand-alone systems to increasingly networked and distributed systems as geospatial information becomes increasingly available online. With its long-standing history for innovation, the field has adopted many disruptive technologies from the fields of computer and information sciences through this transition towards web geographic information systems (GIS); most interestingly in the context of this research is the limited uptake of semantic web technologies by the field and its associated technologies, the lack of which has resulted in a technological disjoint between these fields. As the field seeks to make geospatial information more accessible to more users and in more contexts through ‘self-service’ applications, the use of these technologies is imperative to support the interoperability between distributed data sources. This paper aims to provide insight into what linked data tooling already exists, and based on the features of these, what may be possible for the achievement of self-service GIS. Findings include what visualisation, interactivity, analytics and usability features could be included in the realisation of self-service GIS, pointing to the opportunities that exist in bringing GIS technologies closer to the user. View Full-Text
Keywords: self-service GIS; web GIS; semantic web; geographic information systems; linked data self-service GIS; web GIS; semantic web; geographic information systems; linked data
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MDPI and ACS Style

Rowland, A.; Folmer, E.; Beek, W. Towards Self-Service GIS—Combining the Best of the Semantic Web and Web GIS. ISPRS Int. J. Geo-Inf. 2020, 9, 753. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120753

AMA Style

Rowland A, Folmer E, Beek W. Towards Self-Service GIS—Combining the Best of the Semantic Web and Web GIS. ISPRS International Journal of Geo-Information. 2020; 9(12):753. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120753

Chicago/Turabian Style

Rowland, Alexandra, Erwin Folmer, and Wouter Beek. 2020. "Towards Self-Service GIS—Combining the Best of the Semantic Web and Web GIS" ISPRS International Journal of Geo-Information 9, no. 12: 753. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9120753

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