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dc.contributorHuerta Guijarro, Joaquín
dc.contributorSchade, Sven
dc.contributorGranell Canut, Carlos
dc.contributor.authorHarvey, Francis
dc.contributor.authorJones, Jim
dc.contributor.authorScheider, Simon
dc.contributor.authorIwaniak, Adam
dc.contributor.authorKaczmarek, Iwona
dc.contributor.authorŁukowicz, Jaromar
dc.contributor.authorStrzelecki, Marek
dc.date.accessioned2014-07-30T11:05:07Z
dc.date.available2014-07-30T11:05:07Z
dc.date.issued2014-06
dc.identifier.isbn9789081696043
dc.identifier.urihttp://hdl.handle.net/10234/98864
dc.descriptionPonencias, 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.ca_CA
dc.description.abstractSociety 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.ca_CA
dc.format.extent6 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherAGILE Digital Editionsca_CA
dc.relation.isPartOfHuerta, 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: 978-90-816960-4-3ca_CA
dc.subjectAssociation of Geographic Information Laboratories for Europe ( AGILE) Conferenceca_CA
dc.subjectGeographic Information Scienceca_CA
dc.subjectInformación geográficaca_CA
dc.titleLittle Steps Towards Big Goals. Using Linked Data to Develop Next Generation Spatial Data Infrastructures (aka SDI 3.0)ca_CA
dc.typeinfo:eu-repo/semantics/bookPartca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA


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