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Conference of the Italian Association for Artificial Intelligence

AI*IA 2017: AI*IA 2017 Advances in Artificial Intelligence pp 243–255Cite as

Reasoning over RDF Knowledge Bases: Where We Are

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10640))

Abstract

This paper aims at investigating the state of realization of the Semantic Web initiative, through the analysis of some applications taking background knowledge from RDF datasets. In particular, it shows the design and the implementation of an extended experiment, which demonstrates that input datasets are often used only as data structures, without taking into account the logical formalization of properties involved in such RDF models.

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Notes

  1. 1.

    Intuitively, distance is meant to be inversely proportional to similarity.

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Author information

Authors and Affiliations

  1. DEI, Politecnico di Bari, Bari, Italy

    Simona Colucci & Eugenio Di Sciascio

  2. DISUCOM, Università della Tuscia, Viterbo, Italy

    Francesco M. Donini

Authors
  1. Simona Colucci
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  2. Francesco M. Donini
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  3. Eugenio Di Sciascio
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Corresponding author

Correspondence to Simona Colucci .

Editor information

Editors and Affiliations

  1. University of Bari, Bari, Italy

    Floriana Esposito

  2. University of Rome Tor Vergata, Rome, Italy

    Roberto Basili

  3. University of Bari, Bari, Italy

    Stefano Ferilli

  4. University of Bari, Bari, Italy

    Francesca A. Lisi

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Colucci, S., Donini, F.M., Di Sciascio, E. (2017). Reasoning over RDF Knowledge Bases: Where We Are. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds) AI*IA 2017 Advances in Artificial Intelligence. AI*IA 2017. Lecture Notes in Computer Science(), vol 10640. Springer, Cham. https://doi.org/10.1007/978-3-319-70169-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-70169-1_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70168-4

  • Online ISBN: 978-3-319-70169-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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