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Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping

Thesis (PhD)--University of Pretoria, 2015.

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Other Authors: Coetzee, Serena Martha
Format: Thesis
Language:English
Published: University of Pretoria 2016
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access_status_str Open Access
author2 Coetzee, Serena Martha
author_browse Coetzee, Serena Martha
author_facet Coetzee, Serena Martha
collection Thesis
dc_rights_str_mv © 2016, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2015.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:33.236Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/53549 Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping Coetzee, Serena Martha osobana@gmail.com Owusu-Banahene, Wiafe UCTD Thesis (PhD)--University of Pretoria, 2015. The open data movement has resulted in many datasets on the web to be freely available for anyone to freely access, use, modify and share for any purpose (subject, at most, to requirements that preserve provenance and openness). The Linked Open Data (LOD) cloud is an example of such an open data repository of attribute data in the form of billions of Resource Description Framework triples on the Web. Visualising such open data in thematic maps provides a powerful spatial analysis tool for planning and decision-making. In this research, several styles of creating web thematic maps by integrating the attributes from the LOD cloud with geometry in a spatial database server were investigated and evaluated. Requirements for a specialised geospatial web service that combines linked data with geospatial data to create thematic maps were specified. Standard technologies were used, motivated by the widespread deployment of standardised web map services in the geospatial community and the widespread publication of alphanumeric data (by statistical agencies) in the LOD cloud. A specialisation of an Open Geospatial Consortium Web Map Service (WMS) that creates web thematic maps by integrating alphanumeric linked data from the LOD cloud with geometry in a spatial database server was conceptualised. Three integration styles (referred to as design options) for this specialised web service were designed and implemented. The first style integrates linked data with spatial data by an importer. The second and third styles use a middleware and extension of a spatial database server respectively to integrate linked data with spatial data. In each of the three styles, attributes are retrieved from the LOD cloud through semantic queries and only the results of the semantic query are visualised on the thematic map. In this way, the benefits of semantic queries are exploited in the Semantic Web itself and the WMS mapping capabilities are used to visualise the semantic query results on a thematic map by integrating these with geospatial data. The three integration styles are critically evaluated against the specified requirements. This research contributes to understanding the pros and cons of incorporating semantic (linked) data models into standard geospatial web service models to create cartographic products (web thematic maps). This research contributes to bridging the gap between linked data and web thematic mapping. Geography, Geoinformatics and Meteorology PhD Unrestricted 2016-07-01T10:33:43Z 2016-07-01T10:33:43Z 2016-04-05 2015 Thesis Owusu-Banahene, W 2016, Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/53549> A2016 http://hdl.handle.net/2263/53549 en © 2016, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title_full Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title_fullStr Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title_full_unstemmed Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title_short Evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
title_sort evaluating different options of integrating linked open data into standard geospatial web services for thematic mapping
topic UCTD
url http://hdl.handle.net/2263/53549