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Open Data Integration Using SPARQL and SPIN: A Case Study for the Tourism Domain

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AI*IA 2015 Advances in Artificial Intelligence (AI*IA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9336))

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Abstract

Open Data initiatives from governments and public agencies in Europe have made large amounts of data available on the web. Linked Data principles can help to improve Open Data integration, disclosing the connections between datasets, leveraging a powerful usage of data and enabling innovative ways to improve citizens’ life. In this work we present a novel approach for Open Data integration, based on SPARQL federated queries formalized as SPIN rules. This methodology allows the interlinking and enrichment of heterogeneous Open Data, using the distributed knowledge of the Linked Open Data cloud. We present a case study on integrating and publishing, via enrichment and interlinking techniques, tourism domain datasets as Linked Open Data.

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Author information

Authors and Affiliations

  1. ICAR-CNR Sezione di Palermo, Via Ugo La Malfa 153, 90146, Palermo, Italy

    Antonino Lo Bue & Alberto Machì

Authors
  1. Antonino Lo Bue
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  2. Alberto Machì
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Corresponding author

Correspondence to Antonino Lo Bue .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria,, UniversitĂ  di Ferrara,, Ferrara, Italy

    Marco Gavanelli

  2. Dipartimento di Ingegneria, UniversitĂ  di Ferrara, Ferrara, Italy

    Evelina Lamma

  3. Dep di Matem e Informatica, Universita di Ferrara, Ferrara, Italy

    Fabrizio Riguzzi

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Lo Bue, A., Machì, A. (2015). Open Data Integration Using SPARQL and SPIN: A Case Study for the Tourism Domain. In: Gavanelli, M., Lamma, E., Riguzzi, F. (eds) AI*IA 2015 Advances in Artificial Intelligence. AI*IA 2015. Lecture Notes in Computer Science(), vol 9336. Springer, Cham. https://doi.org/10.1007/978-3-319-24309-2_24

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  • DOI: https://doi.org/10.1007/978-3-319-24309-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24308-5

  • Online ISBN: 978-3-319-24309-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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