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Generating Ontologies from Relational Data with Fuzzy-Syllogistic Reasoning

  • Conference paper
Beyond Databases, Architectures and Structures (BDAS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 521))

Abstract

Existing standards for crisp description logics facilitate information exchange between systems that reason with crisp ontologies. Applications with probabilistic or possibilistic extensions of ontologies and reasoners promise to capture more information, because they can deal with more uncertainties or vagueness of information. However, since there are no standards for either extension, information exchange between such applications is not generic. Fuzzy-syllogistic reasoning with the fuzzy-syllogistic system 4S provides 2048 possible fuzzy inference schema for every possible triple concept relationship of an ontology. Since the inference schema are the result of all possible set-theoretic relationships between three sets with three out of 8 possible fuzzy-quantifiers, the whole set of 2048 possible fuzzy inferences can be used as one generic fuzzy reasoner for quantified ontologies. In that sense, a fuzzy syllogistic reasoner can be employed as a generic reasoner that combines possibilistic inferencing with probabilistic ontologies, thus facilitating knowledge exchange between ontology applications of different domains as well as information fusion over them.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, İzmir Institute of Technology, İzmir, 35430, Turkey

    Bora İ. Kumova

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  1. Bora İ. Kumova
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Correspondence to Bora İ. Kumova .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Silesian University of Technology, Gliwice,, Poland

    Daniel Kostrzewa

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Kumova, B.İ. (2015). Generating Ontologies from Relational Data with Fuzzy-Syllogistic Reasoning. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-18422-7_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18421-0

  • Online ISBN: 978-3-319-18422-7

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