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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Supplemental data for submission "Bridging between LegalRuleML and TPTP for Automated Normative Reasoning"

Research datakeyboard_double_arrow_right Dataset 23 Jun 2022Publisher:Zenodo
Authors: Steen, Alexander; Fuenmayor, David;

doi: 10.5281/zenodo.6702576 , 10.5281/zenodo.6702575

Supplemental data for submission "Bridging between LegalRuleML and TPTP for Automated Normative Reasoning"

Abstract

These files are supplementary material to the submission Bridging between LegalRuleML and TPTP for Automated Normative Reasoning by Alexander Steen and David Fuenmayor submitted to the 6th International Joint Conference on Rules and Reasoning (RuleML+RR 2022), 2022. Files ex1.lrml.xml and ex2.lrml.xml are two example LegalRuleML files. Files ex1.dsl.p and ex2.dsl.p are two examples from above translated to the NMF DSL. The files ex1.output.X.p and ex2.output.X.p are the translations of the NMF files into the concrete logic X (X = SDL or X = cJ (Carmo Jones) or X = aqvist (system E)). Alexander Steen, <alexander.steen@uni-greifswald.de>

Related Organizations
Keywords

normative reasoning, TPTP, automated theorem proving, LegalRuleML

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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).
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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.
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