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Rule-Based Systems and Semantic Web

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Modeling with Rules Using Semantic Knowledge Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 130))

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Abstract

This chapter discusses the practical application of the SKE approach in the context of Semantic Web technologies. In this chapter we present an original solution to a heterogeneous integration of forward chaining rules with Description logic. The Description And Attributive Logic formalism provides the integration of the ALSV(FD)-based rule solution with Description Logics. Furthermore, the Pellet-HeaRT framework enables practical runtime integration of an ontology reasoner a rule engine.

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Notes

  1. 1.

    See http://clarkparsia.com/pellet.

  2. 2.

    See the DL Complexity Navigator at http://www.cs.man.ac.uk/~ezolin/dl.

  3. 3.

    See http://dl.kr.org/dig.

  4. 4.

    See http://www.swi-prolog.org/pldoc/package/http.html.

  5. 5.

    While we use terms “moments” (time points), as well as “temporary” we do not refer to or address any temporal aspects. In fact, these terms are used only technically, to denote a sequence of ABoxes.

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Correspondence to Grzegorz J. Nalepa .

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Nalepa, G.J. (2018). Rule-Based Systems and Semantic Web. In: Modeling with Rules Using Semantic Knowledge Engineering. Intelligent Systems Reference Library, vol 130. Springer, Cham. https://doi.org/10.1007/978-3-319-66655-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-66655-6_14

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