Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 583-586, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
08 Jun 2016
E. Hietanen, L. Lehto, and P. Latvala Dept. of Geoinformatics and Cartography, Finnish Geospatial Research Institute (FGI), National Land Survey of Finland, Geodeetinrinne 2, FI-02430 Masala, Finland
Keywords: URI, Geographic Dataset, Linked Data, GeoSPARQL, WFS Abstract. In this study, a prototype service to provide data from Web Feature Service (WFS) as linked data is implemented. At first, persistent and unique Uniform Resource Identifiers (URI) are created to all spatial objects in the dataset. The objects are available from those URIs in Resource Description Framework (RDF) data format. Next, a Web Ontology Language (OWL) ontology is created to describe the dataset information content using the Open Geospatial Consortium’s (OGC) GeoSPARQL vocabulary. The existing data model is modified in order to take into account the linked data principles. The implemented service produces an HTTP response dynamically. The data for the response is first fetched from existing WFS. Then the Geographic Markup Language (GML) format output of the WFS is transformed on-the-fly to the RDF format. Content Negotiation is used to serve the data in different RDF serialization formats. This solution facilitates the use of a dataset in different applications without replicating the whole dataset. In addition, individual spatial objects in the dataset can be referred with URIs. Furthermore, the needed information content of the objects can be easily extracted from the RDF serializations available from those URIs.

A solution for linking data objects to the dataset URI is also introduced by using the Vocabulary of Interlinked Datasets (VoID). The dataset is divided to the subsets and each subset is given its persistent and unique URI. This enables the whole dataset to be explored with a web browser and all individual objects to be indexed by search engines.

Conference paper (PDF, 763 KB)

Citation: Hietanen, E., Lehto, L., and Latvala, P.: PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 583-586,, 2016.

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