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Analogical Database Queries

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Flexible Query Answering Systems 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 400))

Abstract

In this paper, we introduce a new type of database query inspired from some works in AI about the concept of analogical proportion. The general idea is to retrieve the tuples that participate in a relation of the form “a is to b as c is to d”. We provide a typology of analogical queries in a relational database context, devise different processing strategies and assess them experimentally.

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References

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Author information

Authors and Affiliations

  1. Université de Rennes 1 – Irisa, Lannion, France

    William Correa Beltran, Hélène Jaudoin & Olivier Pivert

Authors
  1. William Correa Beltran
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  2. Hélène Jaudoin
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  3. Olivier Pivert
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Corresponding author

Correspondence to Olivier Pivert .

Editor information

Editors and Affiliations

  1. Dept. of Comm., Business & Info. Tech., Roskilde University, Roskilde, Denmark

    Troels Andreasen

  2. Dept. Computer Science, Roskilde University, Roskilde, Denmark

    Henning Christiansen

  3. Sys Res Intit of Polish Acad of Science, Intelligent Systems Laboratory, Warsaw, Poland

    Janusz Kacprzyk

  4. Department of Electronic Systems, Aalborg University, Esbjerg, Denmark

    Henrik Larsen

  5. Computer Science Department, University Milano-Biccoca, Milano, Italy

    Gabriella Pasi

  6. IRISA, University of Rennes I, Rennes, France

    Olivier Pivert

  7. Dept. of Tele. & Info. Processing, Ghent University, Gent, Belgium

    Guy De Tré

  8. Dept. of Comp. & Art. Int. Sci., University of Granada, Granada, Spain

    Maria Amparo Vila

  9. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Adnan Yazici

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Sławomir Zadrożny

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© 2016 Springer International Publishing Switzerland

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Beltran, W.C., Jaudoin, H., Pivert, O. (2016). Analogical Database Queries. In: Andreasen, T., et al. Flexible Query Answering Systems 2015. Advances in Intelligent Systems and Computing, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-319-26154-6_16

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  • DOI: https://doi.org/10.1007/978-3-319-26154-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26153-9

  • Online ISBN: 978-3-319-26154-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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