@article{Burkhardt2019b,

title = {Visual legal analytics – A visual approach to analyze law-conflicts of e-Services for e-Mobility and transportation domain},

author = {Dirk Burkhardt and Kawa Nazemi},

url = {https://www.sciencedirect.com/science/article/pii/S1877050919301784

https://www.sciencedirect.com/science/article/pii/S1877050919301784/pdf?md5=754eea9a3a7282f84c582efd6e7d0479&pid=1-s2.0-S1877050919301784-main.pdf, full text},

doi = {https://doi.org/10.1016/j.procs.2019.01.170},

issn = {1877-0509},

year  = {2019},

date = {2019-01-01},

journal = {Procedia Computer Science},

volume = {149},

pages = {515 - 524},

abstract = {The impact of the electromobility has next to the automotive industry also an increasing impact on the transportation and logistics domain. In particular the today’s starting switches to electronic trucks/scooter lead to massive changes in the organization and planning in this field. Public funding or tax reduction for environment friendly solutions forces also the growth of new mobility and transportation services. However, the vast changes in this domain and the high number of innovations of new technologies and services leads also into a critical legal uncertainty. The clarification of a legal status for a new technology or service can become cost intensive in a dimension that in particular startups could not invest. In this paper we therefore introduce a new approach to identify and analyze legal conflicts based on a business model or plan against existing laws. The intention is that an early awareness of critical legal aspect could enable an early adoption of the planned service to ensure its legality. Our main contribution is distinguished in two parts. Firstly, a new Norm-graph visualization approach to show laws and legal aspects in an easier understandable manner. And secondly, a Visual Legal Analytics approach to analyze legal conflicts e.g. on the basis of a business plans. The Visual Legal Analytics approach aims to provide a visual analysis interface to validate the automatically identified legal conflicts resulting from the pre-processing stage with a graphical overview about the derivation down to the law roots and the option to check the original sources to get further details. At the end analyst can so verify conflicts as relevant and resolve it by advancing e.g. the business plan or as irrelevant. An evaluation performed with lawyers has proofed our approach.},

note = {ICTE in Transportation and Logistics 2018 (ICTE 2018)},

keywords = {eGovernance, Information visualization, Law visualization, Mobility, Ontology visualization, Semantic visualization, Semantics visualization},

pubstate = {published},

tppubtype = {article}

}