Judging amy: Automated legal assessment using OWL 2

Saskia Van De Ven, Rinke Hoekstra, Joost Breuker, Lars Wortel, Abdallah El-Ali

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

One of the most salient tasks in law is legal assessment, and concerns the problem of determining whether some case is allowed or disallowed given an appropriate body of legal norms. In this paper we describe a system and Protégé 4 plugin, called OWL Judge, that uses standard OWL 2 DL reasoning for legal assessment. Norms are represented in terms of the LKIF Core ontology, as generic situation descriptions in which something (state, action) is deemed obliged, prohibited or permitted. We demonstrate the design patterns for defining the norms and actual cases. Furthermore we show how a DL classifier can be used to assess individual cases and automatically generate a lex specialis exception structure using OWL Judge. We illustrate our approach with a worked-out example of university library regulations.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume432
StatePublished - 2009
Externally publishedYes
Event5th Workshop on OWL: Experiences and Directions, OWLED 2008 - Collocated with the 7th International Semantic Web Conference, ISWC 2008 - Karlsruhe, Germany
Duration: Oct 26 2008Oct 27 2008

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