Legal linguistic templates and the tension between legal knowledge representation and reasoning

There is an inherent tension between knowledge representation and reasoning. For an optimal representation and validation, an expressive language should be used. For an optimal automated reasoning, a simple one is preferred. Which language should we choose for our legal knowledge representation if o...

Descripción completa

Detalles Bibliográficos
Autor principal: Libal, Tomer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172645/
https://www.ncbi.nlm.nih.gov/pubmed/37181732
http://dx.doi.org/10.3389/frai.2023.1136263
_version_ 1785039652975017984
author Libal, Tomer
author_facet Libal, Tomer
author_sort Libal, Tomer
collection PubMed
description There is an inherent tension between knowledge representation and reasoning. For an optimal representation and validation, an expressive language should be used. For an optimal automated reasoning, a simple one is preferred. Which language should we choose for our legal knowledge representation if our goal is to apply automated legal reasoning? In this paper, we investigate the properties and requirements of each of these two applications. We suggest that by using Legal Linguistic Templates, one can solve the above tension in some practical situations.
format Online
Article
Text
id pubmed-10172645
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-101726452023-05-12 Legal linguistic templates and the tension between legal knowledge representation and reasoning Libal, Tomer Front Artif Intell Artificial Intelligence There is an inherent tension between knowledge representation and reasoning. For an optimal representation and validation, an expressive language should be used. For an optimal automated reasoning, a simple one is preferred. Which language should we choose for our legal knowledge representation if our goal is to apply automated legal reasoning? In this paper, we investigate the properties and requirements of each of these two applications. We suggest that by using Legal Linguistic Templates, one can solve the above tension in some practical situations. Frontiers Media S.A. 2023-04-27 /pmc/articles/PMC10172645/ /pubmed/37181732 http://dx.doi.org/10.3389/frai.2023.1136263 Text en Copyright © 2023 Libal. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Libal, Tomer
Legal linguistic templates and the tension between legal knowledge representation and reasoning
title Legal linguistic templates and the tension between legal knowledge representation and reasoning
title_full Legal linguistic templates and the tension between legal knowledge representation and reasoning
title_fullStr Legal linguistic templates and the tension between legal knowledge representation and reasoning
title_full_unstemmed Legal linguistic templates and the tension between legal knowledge representation and reasoning
title_short Legal linguistic templates and the tension between legal knowledge representation and reasoning
title_sort legal linguistic templates and the tension between legal knowledge representation and reasoning
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10172645/
https://www.ncbi.nlm.nih.gov/pubmed/37181732
http://dx.doi.org/10.3389/frai.2023.1136263
work_keys_str_mv AT libaltomer legallinguistictemplatesandthetensionbetweenlegalknowledgerepresentationandreasoning

Ejemplares similares