Bridging between LegalRuleML and TPTP for Automated Normative Reasoning (extended version)
Alexander Steen, David Fuenmayor

TL;DR
This paper introduces a translation framework connecting LegalRuleML and TPTP formats, enabling automated normative reasoning across legal and logical systems with practical demonstrations.
Contribution
It defines a logic-pluralistic normative reasoning language in TPTP, provides a translation scheme from LegalRuleML, and proposes a flexible architecture for automated normative reasoning.
Findings
Successful translation between LegalRuleML and TPTP fragments
Implementation of normative reasoning with three different logics
Demonstration of the approach's flexibility and applicability
Abstract
LegalRuleML is a comprehensive XML-based representation framework for modeling and exchanging normative rules. The TPTP input and output formats, on the other hand, are general-purpose standards for the interaction with automated reasoning systems. In this paper we provide a bridge between the two communities by (i) defining a logic-pluralistic normative reasoning language based on the TPTP format, (ii) providing a translation scheme between relevant fragments of LegalRuleML and this language, and (iii) proposing a flexible architecture for automated normative reasoning based on this translation. We exemplarily instantiate and demonstrate the approach with three different normative logics.
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Taxonomy
TopicsSemantic Web and Ontologies · Multi-Agent Systems and Negotiation · Logic, Reasoning, and Knowledge
