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 Sept 2020
    Conference number: 22

    Conference

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

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