Abstract
In order to employ the Web as a medium for data and information integration, comprehensive datasets and vocabularies are required as they enable the disambiguation and alignment of other data and information. Many real-life information integration and aggregation tasks are impossible without comprehensive background knowledge related to spatial features of the ways, structures and landscapes surrounding us. In this paper we contribute to the generation of a spatial dimension for the Data Web by elaborating on how the collaboratively collected OpenStreetMap data can be transformed and represented adhering to the RDF data model. We describe how this data can be interlinked with other spatial data sets, how it can be made accessible for machines according to the linked data paradigm and for humans by means of a faceted geo-data browser. © Springer-Verlag Berlin Heidelberg 2009.
Cite
CITATION STYLE
Auer, S., Lehmann, J., & Hellmann, S. (2009). LinkedGeoData: Adding a spatial dimension to the Web of data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5823 LNCS, pp. 731–746). Springer Verlag. https://doi.org/10.1007/978-3-642-04930-9_46
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