FAGI: A framework for fusing geospatial RDF data Full text

Giorgos Giannopoulos, Dimitrios Skoutas, Thomas Maroulis, Nikos Karagiannakis, Spiros Athanasiou
The 13th International Conference on Ontologies, DataBases, and Applications of Semantics, 2014 (ODBASE 2014)
Abstract. In this paper, we present FAGI, a framework for fusing geospatial RDF data. Starting from two interlinked datasets, FAGI handles all the steps of the fusion process, producing an integrated, richer dataset that combines entities and attributes from both initial ones. In contrast to existing approaches and tools, which deal either with RDF fusion or with spatial conflation, FAGI specifically addresses the fusion of geospatial RDF data. We describe the main components of the framework and their functionalities, which include aligning dataset vocabularies, processing geospatial features, applying -manually or automatically fusion strategies, and recommending link creation or rejection between RDF entities, with emphasis on their geospatial properties. The main focus is on the two core components of the framework, namely FAGI-tr, which transforms between different RDF representations of geospatial data, and FAGI-gis, which processes and transforms geometries for fusing the geometric features of linked entities