The Implementation of Hohfeldian Legal Concepts with Semantic Web Technologies

Autor: Slootweg, Pieter, Rutledge, L.W., Wedemeijer, L., Joosten, S.M.M.
Přispěvatelé: Department Information Science and Business Processes, RS-Research Program Learning and Innovation in Resilient systems (LIRS)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: AI4J – Artificial Intelligence for Justice, August 30, 2016 The Hague, The Netherlands: Workshop at the 22nd European Conference on Artificial Intelligence (ECAI 2016), 65-72
STARTPAGE=65;ENDPAGE=72;TITLE=AI4J – Artificial Intelligence for Justice, August 30, 2016 The Hague, The Netherlands
Slootweg, P, Rutledge, L W, Wedemeijer, L & Joosten, S M M 2016, The Implementation of Hohfeldian Legal Concepts with Semantic Web Technologies . in AI4J – Artificial Intelligence for Justice, August 30, 2016 The Hague, The Netherlands : Workshop at the 22nd European Conference on Artificial Intelligence (ECAI 2016) . IOS Press, Amsterdam, pp. 65-72, Twenty-second European Conference on Artificial Intelligence, The Hague, Netherlands, 29/08/20 . < http://www.ecai2016.org/content/uploads/2016/08/W2-ai4j-2016.pdf >
Popis: This research explores how and to what extent SemanticWeb techniques can implement Hohfeldian legal concepts. Lawsand regulations are forms of rules in natural language. Becauselaws are objective and formal, they are suitable for specificationwith formal logic. Hohfeldian legal concepts are an important toolfor the explicit creation of normative legal relationships betweenthe parties. The results of this study show that it is possible forlegal requirements based on Hohfeldian legal concepts to beexpressed with Semantic Web techniques. For the differentHohfeldian legal concepts, we work out a generic solution within acase study. This work shows that global qualification regardingwhether or not a particular action is allowed should not only bedetermined on the basis of the relevant Hohfeldian legal concepts,but also by taking conditional statements into account.
Databáze: OpenAIRE