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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 2018: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations pp 100–112Cite as

Datil: Learning Fuzzy Ontology Datatypes

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 854))

Abstract

Real-world applications using fuzzy ontologies are increasing in the last years, but the problem of fuzzy ontology learning has not received a lot of attention. While most of the previous approaches focus on the problem of learning fuzzy subclass axioms, we focus on learning fuzzy datatypes. In particular, we describe the Datil system, an implementation using unsupervised clustering algorithms to automatically obtain fuzzy datatypes from different input formats. We also illustrate the practical usefulness with an application: semantic lifestyle profiling.

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Notes

  1. 1.

    www.umbertostraccia.it/cs/software/FuzzyDL-Learner.

  2. 2.

    http://www.umbertostraccia.it/cs/software/FuzzyOWL.

  3. 3.

    Dátil is the Spanish for the date fruit.

  4. 4.

    http://webdiis.unizar.es/~ihvdis/Datil.

  5. 5.

    http://owlapi.sourceforge.net.

  6. 6.

    http://www.hermit-reasoner.com.

  7. 7.

    http://java-ml.sourceforge.net.

  8. 8.

    http://www.umbertostraccia.it/cs/software/fuzzyDL/fuzzyDL.html.

  9. 9.

    https://github.com/NataliaDiaz/Ontologies.

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Acknowledgment

I. Huitzil was partially funded by Universidad de Zaragoza - Santander Universidades (Ayudas de Movilidad para Latinoamericanos - Estudios de Doctorado). N. Díaz-Rodríguez acknowledges AAPELE.eu EU COST Action IC1303 and EU Erasmus+ Funding; part of her work was done during internship at Philips Research. I. Huitzil and F. Bobillo were partially supported by the projects TIN2016-78011-C4-3-R and CUD2017-17. Special thanks are due to Aki Härmä and Rim Helaoui (Philips Research) for their invaluable help with lifestyle real data.

Author information

Authors and Affiliations

  1. I3A, University of Zaragoza, Zaragoza, Spain

    Ignacio Huitzil & Fernando Bobillo

  2. ISTI-CNR, Pisa, Italy

    Umberto Straccia

  3. U2IS, ENSTA ParisTech and Inria FLOWERS, Paris, France

    Natalia Díaz-Rodríguez

Authors
  1. Ignacio Huitzil
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  2. Umberto Straccia
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  3. Natalia Díaz-Rodríguez
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  4. Fernando Bobillo
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Corresponding author

Correspondence to Ignacio Huitzil .

Editor information

Editors and Affiliations

  1. Universidad de Cádiz, Cádiz, Cadiz, Spain

    Jesús Medina

  2. Universidad de Málaga, Málaga, Málaga, Spain

    Manuel Ojeda-Aciego

  3. Universidad de Granada, Granada, Spain

    José Luis Verdegay

  4. Universidad de Granada, Granada, Spain

    David A. Pelta

  5. Universidad de Málaga, Málaga, Málaga, Spain

    Inma P. Cabrera

  6. LIP6, Université Pierre et Marie Curie, CNRS, Paris, France

    Bernadette Bouchon-Meunier

  7. Iona College, New Rochelle, New York, USA

    Ronald R. Yager

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Huitzil, I., Straccia, U., Díaz-Rodríguez, N., Bobillo, F. (2018). Datil: Learning Fuzzy Ontology Datatypes. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 854. Springer, Cham. https://doi.org/10.1007/978-3-319-91476-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-91476-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91475-6

  • Online ISBN: 978-3-319-91476-3

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