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FAGI: A Framework for Fusing Geospatial RDF Data

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2014 Conferences (OTM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8841))

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.

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Author information

Authors and Affiliations

  1. Imperial College, London, UK

    Thomas Maroulis

Authors
  1. Giorgos Giannopoulos
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  2. Dimitrios Skoutas
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  3. Thomas Maroulis
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  4. Nikos Karagiannakis
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  5. Spiros Athanasiou
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Editor information

Editors and Affiliations

  1. TU Graz, Rechbauerstraße 12, 8010, Graz, Austria

    Robert Meersman

  2. CRAN, Campus Sciences, University of Lorraine, BP 70239, 54506, Vandoevre-les-Nancy, France

    Hervé Panetto

  3. Computer Science and Computer Engineering, La Trobe University, 3086, Melbourne, VIC, Australia

    Tharam Dillon

  4. Laboratory for Enterprise Knowledge and Systems (LEKS), IASI - CNR, Viale Manzoni 30, 00185, Rome, Italy

    Michele Missikoff

  5. School of Software, Tsinghua University, 100084, Beijing, China

    Lin Liu

  6. PROS Research Center, Camino de Vera, Universidad Politècnica de València, 46022, Valencia, Spain

    Oscar Pastor

  7. Department of Electronics, Computer Science and Systems, Univeristy of Calabria, Via P. Bucci, 41C, 87036, Rende, Cosenza, Italy

    Alfredo Cuzzocrea

  8. School of Computer Science and Information Technology, RMIT, Australia

    Timos Sellis

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Giannopoulos, G., Skoutas, D., Maroulis, T., Karagiannakis, N., Athanasiou, S. (2014). FAGI: A Framework for Fusing Geospatial RDF Data. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. OTM 2014. Lecture Notes in Computer Science, vol 8841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45563-0_33

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  • DOI: https://doi.org/10.1007/978-3-662-45563-0_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45562-3

  • Online ISBN: 978-3-662-45563-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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