Data protection compliance is critical from a requirements engineering (RE) perspective,
both from a software development lifecycle (SDLC) perspective and regulatory compliance …

This research presents a methodology for creating mivar knowledge bases in tabular-matrix
form for ground intelligent vehicle control systems. At its core, this methodology is kind of …

In this paper, we propose a Legal Rule Classification (LRC) task using one of the most
discussed language model in the field of Artificial Intelligence, namely GPT-3, a generative …

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 …

Data-oriented applications, their users, and even the law require data of high quality.
Research has broken down the rather vague notion of data quality into various dimensions …

The Solid specification aims to empower data subjects by giving them direct access control
over their data across multiple applications. As governments are manifesting their interest in …

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

Recent developments show that large transformer-based language models have the
capability to generate coherent text and source code in response to user prompts. This …

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 …