The Implementation of Hohfeldian Legal Concepts with Semantic Web Technologies

Pieter Slootweg, L.W. Rutledge*, L. Wedemeijer, S.M.M. Joosten

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

This research explores how and to what extent Semantic
Web techniques can implement Hohfeldian legal concepts. Laws
and regulations are forms of rules in natural language. Because
laws are objective and formal, they are suitable for specification
with formal logic. Hohfeldian legal concepts are an important tool
for the explicit creation of normative legal relationships between
the parties. The results of this study show that it is possible for
legal requirements based on Hohfeldian legal concepts to be
expressed with Semantic Web techniques. For the different
Hohfeldian legal concepts, we work out a generic solution within a
case study. This work shows that global qualification regarding
whether or not a particular action is allowed should not only be
determined on the basis of the relevant Hohfeldian legal concepts,
but also by taking conditional statements into account.
Original languageEnglish
Title of host publicationAI4J – Artificial Intelligence for Justice, August 30, 2016 The Hague, The Netherlands
Subtitle of host publicationWorkshop at the 22nd European Conference on Artificial Intelligence (ECAI 2016)
Place of PublicationAmsterdam
PublisherIOS Press
Pages65-72
Number of pages8
Publication statusPublished - 2016
EventTwenty-second European Conference on Artificial Intelligence : ECAI 2016 - The Hague, Netherlands
Duration: 29 Aug 20202 Sep 2020
Conference number: 22

Conference

ConferenceTwenty-second European Conference on Artificial Intelligence
CountryNetherlands
CityThe Hague
Period29/08/202/09/20

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