Enabling reasoning with legalruleML

Ho Pun Lam*, Mustafa Hashmi, Brendan Scofield

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

15 Citations (Scopus)

Abstract

This paper presents an approach for the specification and implementation of translating legal norms represented using Legal- RuleML to a variant of Modal Defeasible Logic. From its logical form, legal norms will be transformed into a machine readable format and eventually implemented as executable semantics that can be reasoned about depending upon the client’s preference.

Original languageEnglish
Title of host publicationRule Technologies
Subtitle of host publicationResearch, Tools, and Applications - 10th International Symposium, RuleML 2016, Proceedings
EditorsDumitru Roman, Jose Julio Alferes, Paul Fodor, Leopoldo Bertossi, Guido Governatori
PublisherSpringer Verlag
Pages241-257
Number of pages17
ISBN (Print)9783319420189
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event10th International Symposium on Rule Technologies, RuleML 2016 - Stony Brook, United States
Duration: 6 Jul 20169 Jul 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9718
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Rule Technologies, RuleML 2016
Country/TerritoryUnited States
CityStony Brook
Period6/07/169/07/16

Keywords

  • Business contracts
  • Defeasible logic
  • Legal reasoning
  • LegalRuleML

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