Automatic End-to-End Decomposition and Semantic Annotation of Laws Using High-Performance- Computing and Open Data as a Potential Driver for Digital Transformation

This paper is dealing with automatic end-to-end law analysis conducted by decomposition and semantic annotation, by using the high- performance computing and government open data. Legal data and law texts are a category of open data and thus they possess the potential to unlock digital innovation and transformation capacity in governments and businesses, regarding the development of new, better, and more cost-effective services for citizens. For that reason, they can be recognized as a potential digital transformation driver. This research presents a baseline for automation of decomposition and annotation with process and service elements developed for utilization on high-performance computing infrastructure based on government laws open data and gives insights on how the results of it can initiate digital transformation.