Terms of service of on-line platforms too often contain clauses that are potentially unfair to
the consumer. We present an experimental study where machine learning is employed to …

This paper analyses and compares some of the automated reasoners that have been used
in recent research for compliance checking. Although the list of the considered reasoners is …

This paper introduces PrOnto, the privacy ontology that models the GDPR main conceptual
cores: data types and documents, agents and roles, processing purposes, legal bases …

The DAPRECO knowledge base is the main outcome of the interdisciplinary project bearing
the same name (https://www. fnr. lu/projects/data-protection-regulation-compliance). It is a …

The availability of representative datasets is an essential prerequisite for many successful
artificial intelligence and machine learning models. However, in real life applications these …

The automated identification of national implementations (NIMs) of European directives by
text similarity techniques has shown promising preliminary results. Previous works have …

Automated compliance checking, ie the task of automatically assessing whether states of
affairs comply with normative systems, has recently received a lot of attention from the …

This article seeks to address the problem of the 'resource consumption bottleneck'of creating
legal semantic technologies manually. It describes a semantic role labeling based …

Every organization has to deal with operational risks, arising from the execution of a
company's primary business functions. In this paper, we describe a legal knowledge …

Violations of data protection laws such as the General Data Protection Regulation (GDPR)
are ubiquitous. Currently, building IT support to implement such laws is difficult and the …