Abstract
In this paper, we present FAGI-tr, a tool for aligning RDF vocabularies with respect to their geospatial aspect. The tool provides a framework for (a) loading a source and a target geospatial RDF dataset, (b) identifying vocabularies for representing geospatial RDF data, (c) selecting, from both datasets, the representations to be considered for processing, (d) selecting a target vocabulary and transforming all geospatial triples from both datasets into the respective format and (e) outputting the two datasets for further processing. The outcome of the process is datasets that follow exactly the same vocabulary and, also, are cleansed from possible duplicate triples containing geospatial metadata, which is the case when an RDF dataset adopts more than one vocabularies to describe spatial data. The tool is tested with DBpedia data and performs rather efficiently.
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CITATION STYLE
Giannopoulos, G., Maroulis, T., Skoutas, D., Karagiannakis, N., & Athanasiou, S. (2014). FAGI-tr: A tool for aligning geospatial RDF vocabularies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8798, pp. 355–361). Springer Verlag. https://doi.org/10.1007/978-3-319-11955-7_48
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