Conference paper Open Access

Visualizing Law - A Norm-Graph Visualization Approach based on Semantic Legal Data

Burkhardt, Dirk; Nazemi, Kawa

Laws or in general legal documents regulate a wide range of our daily life and also define the borders of business models and commercial services. However, legal text and laws are almost hard to understand. From other domains it is already known that visualizations can help understanding complex aspects easier. In fact, in this paper we introduce a new approach to visualize legal texts in a Norm-graph visualization. In the developed Norm-graph visualization it is possible to show major aspects of laws and make it easier for users to understand it. The Norm-graph is based on semantic legal data, a so called Legal-Concept-Ontology.

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Publication date:
September 17, 2018
DOI:
10.5281/zenodo.2543729

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ISBN:
978-88-85741-20-1
Keyword(s):
Norm-graph Law Visualization Decision Support Systems Policy Modeling E-Government Information Visualization Semantic Web Semantic Data
Published in:
Proceedings of the International Conference of the Virtual and Augmented Reality in Education (978-88-85741-20-1).
Meeting:
The 4th International Conference of the Virtual and Augmented Reality in Education (VARE2018), Budapest, Hungary, 17-19 September 2018
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Creative Commons Attribution 4.0 International

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