Little Steps Towards Big Goals. Using Linked Data to Develop Next Generation Spatial Data Infrastructures (aka SDI 3.0)
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Other documents of the author: Harvey, Francis; Jones, Jim; Scheider, Simon; Iwaniak, Adam; Kaczmarek, Iwona; Łukowicz, Jaromar; Strzelecki, Marek
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Title
Little Steps Towards Big Goals. Using Linked Data to Develop Next Generation Spatial Data Infrastructures (aka SDI 3.0)Author (s)
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Huerta Guijarro, Joaquín; Schade, Sven; Granell Canut, CarlosDate
2014-06Abstract
Society is moving at an increasing pace toward the next stage of the information society through linked data. Among the relevant
developments in geographic information science, linked data approaches offer potential ... [+]
Society is moving at an increasing pace toward the next stage of the information society through linked data. Among the relevant
developments in geographic information science, linked data approaches offer potential for improving SDI functionality [12]. Linked data
uses Semantic Web technologies and makes it possible to link at a very granular level data resources of the web for a multitude of purposes.
While the technological implementation in many ways is still in a phase of adolescence, vast amounts of data, including geographic
information (GI) have been prepared, for example by the UK Ordinance Survey [8] and other governmental and non-governmental bodies.
The overwhelming focus has been on producing RDF formatted data for linked data applications--the foundation for applications. In this
short paper, we provide an overview of potentials of linked open data for SDI 3.0 developments. Through two exemplary use cases we
illustrate specifically some first steps towards a more web-oriented and distributed approach to creating SDI architectures. The cases
demonstrate applications based on the LOD4WFS Adapter, which opens the way for multi-perspective GI applications, created on-demand
from multiple GI data resources. These applications automate geometry-based selections of data using spatial queries with the use of RCC8
and OGC Simple Features topological functions. Future work in this area includes adding semantic operators to refine GI processing with
multiple ontologies. [-]
Description
Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 ... [+]
Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014. [-]
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Huerta, Schade, Granell (Eds): Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science, Castellón, June, 3-6, 2014. ISBN: 978-90-816960-4-3ISBN
9789081696043Type
info:eu-repo/semantics/bookPartPublisher
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info:eu-repo/semantics/openAccess