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All About Fuzzy Description Logics and Applications

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Reasoning Web. Web Logic Rules (Reasoning Web 2015)

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Abstract

The aim of this talk is to present a detailed, self-contained and comprehensive account of the state of the art in representing and reasoning with structured fuzzy knowledge. Fuzzy knowledge comes into play whenever one has to deal with concepts for which membership is a matter of degree (e.g., the degree of illness is a function of, among others, the body temperature). Specifically, we address the case of the fuzzy variants of conceptual languages of the OWL 2 family.

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Notes

  1. 1.

    More concretely, the intensity of precipitation is expressed in terms of a precipitation rate R: volume flux of precipitation through a horizontal surface, i.e. \(m^3/ m^2 s = m s^{-1}\). It is usually expressed in mm / h.

  2. 2.

    http://usatoday30.usatoday.com/weather/wds8.htm.

  3. 3.

    The function \(\mathcal {I} _{x}^{a}\) is as \(\mathcal {I} \) except that x is interpreted as a.

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    Umberto Straccia

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    Wolfgang Faber

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Straccia, U. (2015). All About Fuzzy Description Logics and Applications. In: Faber, W., Paschke, A. (eds) Reasoning Web. Web Logic Rules. Reasoning Web 2015. Lecture Notes in Computer Science(), vol 9203. Springer, Cham. https://doi.org/10.1007/978-3-319-21768-0_1

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