Legal texts express conditions in natural language describing what is permitted, forbidden or mandatory in the context they regulate. Despite the numerous approaches tackling the problem of moving from a natural language legal text to the respective set of machine-readable conditions, results are still unsatisfiable and it remains a major open challenge. In this paper, we propose a preliminary ...

In this paper we present an overview of the PhD thesis, which aims to show the feasibility of a legal knowledge modeling based on the definitions included into legal texts using Semantic Web techniques in order to check compliance of tender documents to EU Directives. We show a hybrid approach, i.e. a theory and a system that combine the use of Akoma-Ntoso standard to describe legal texts, OWL ...

In this paper we describe an approach to the semiautomatic identification of legal terms in Czech texts. Our general goal is to offer supplementary tools for building dictionary of Czech law terms. At first we used the VaDis partial parser for recognition of the complex nominal constructions in a legal text – the current version of the Penal Code of the Czech Republic. Headwords of the recogniz...

1 Introduction Although many legal experts thought this would be impossible we are very close in creating an algorithm for automated norm analysis from legal texts. This algorithm makes use of invariant linguistic structures at the syntactical level that characterises specific normative expressions in natural language. Since the algorithm has not been realised and tested completely jet, we will...