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Artificial Intelligence and Law

Erschienen in:

01.11.2013

Versioned linking of semantic enrichment of legal documents

Emerald: an implementation of knowledge-based services in a semantic web approach

verfasst von: Ákos Szőke, András Förhécz, Gábor Kőrösi, György Strausz

Erschienen in: Artificial Intelligence and Law | Ausgabe 4/2013

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Abstract

Regulations affect every aspect of our lives. Compliance with the regulations impacts citizens and businesses similarly: they have to find their rights and obligations in the complex legal environment. The situation is more complex when languages and time versions of regulations should be considered. To propose a solution to these demands, we present a semantic enrichment approach which aims at (1) decreasing the ambiguousness of legal texts, (2) increasing the probability of finding the relevant legal materials, and (3) utilizing the application of legal reasoners. Our approach is also implemented both as a service for citizens and businesses and as a modeling environment for legal drafters. To evaluate the usefulness of the approach, a case study was carried out in a large organization and applied to corporate regulations and Hungarian laws. The results suggest this approach can support the previous aims.

Vorheriger Artikel Bridging narrative scenario texts and formal policy modeling through conceptual policy modeling

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Titel: Versioned linking of semantic enrichment of legal documents
Emerald: an implementation of knowledge-based services in a semantic web approach
verfasst von: Ákos Szőke
András Förhécz
Gábor Kőrösi
György Strausz
Publikationsdatum: 01.11.2013
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence and Law / Ausgabe 4/2013
Print ISSN: 0924-8463
Elektronische ISSN: 1572-8382
DOI: https://doi.org/10.1007/s10506-013-9145-z

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