Towards a High-level Controlled Language for Legal Sources on the Semantic Web

François Lévy (1) , Adeline Nazarenko (1) , Adam Wyner (2)

1 LIPN - Laboratoire d'Informatique de Paris-Nord
2 University of Aberdeen

Legislation and regulations are required to be structured and augmented in order to make them serviceable on the Internet. However, it is known that it is complex to accurately parse and semantically represent such texts. Controlled languages have been one approach to adjusting to the complexities, where the source text is rewritten in some systematic form. Such an approach is not only costly, but potentially introduces alternative translations which may be undesirable. To navigate between the requirements and complexities, we propose and exemplify a high- level controlled language that serves as a high level XML representation for key components of legal content. The language tightly correlates to the source text and also facilitates analysis.

Mots clés: natural language simplification; semantic annotation; legal rules; controlled languages; semantic web

Domaines: Intelligence artificielle [cs.AI]; Traitement du texte et du document

François Lévy, Adeline Nazarenko, Adam Wyner. Towards a High-level Controlled Language for Legal Sources on the Semantic Web. International Workshop on Legal Domain And Semantic Web Applications (LeDA-SWAn 2015), Serena Villata; Silvio Peroni, Jun 2015, Portoroz, Slovenia. ⟨hal-01358358⟩