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 language | English |
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Title of host publication | Rule Technologies |
Subtitle of host publication | Research, Tools, and Applications - 10th International Symposium, RuleML 2016, Proceedings |
Editors | Dumitru Roman, Jose Julio Alferes, Paul Fodor, Leopoldo Bertossi, Guido Governatori |
Publisher | Springer Verlag |
Pages | 241-257 |
Number of pages | 17 |
ISBN (Print) | 9783319420189 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 10th International Symposium on Rule Technologies, RuleML 2016 - Stony Brook, United States Duration: 6 Jul 2016 → 9 Jul 2016 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9718 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th International Symposium on Rule Technologies, RuleML 2016 |
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Country/Territory | United States |
City | Stony Brook |
Period | 6/07/16 → 9/07/16 |
Keywords
- Business contracts
- Defeasible logic
- Legal reasoning
- LegalRuleML
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Lam, H. P., Hashmi, M., & Scofield, B. (2016). Enabling reasoning with legalruleML. In D. Roman, J. J. Alferes, P. Fodor, L. Bertossi, & G. Governatori (Eds.), Rule Technologies: Research, Tools, and Applications - 10th International Symposium, RuleML 2016, Proceedings (pp. 241-257). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9718). Springer Verlag. https://doi.org/10.1007/978-3-319-42019-6_16