On the Move to Meaningful Internet Systems: OTM 2014 Conferences

Volume 8841 of the series Lecture Notes in Computer Science pp 553-561

FAGI: A Framework for Fusing Geospatial RDF Data

  • Giorgos Giannopoulos
  • , Dimitrios Skoutas
  • , Thomas MaroulisAffiliated withImperial College
  • , Nikos Karagiannakis
  • , Spiros Athanasiou

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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.