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Part of book or chapter of book . 2021
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Identification of Contradictions in Regulation

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object 02 Dec 2021 Poland Publisher:IOS Press
Authors: Araszkiewicz, Michał; Francesconi, Enrico; Żurek, Tomasz;

doi: 10.3233/faia210331

Identification of Contradictions in Regulation

Abstract

This paper presents a Semantic Web–based model for detecting contradictions in regulations. We introduce a conceptual model of contradictions and, on the basis of this model, a knowledge representation–based model is used, which is able to represent the semantics of provision types and related properties. The usefulness of the model is shown through an example.

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Poland
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid