Conference paper Open Access

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

Burkhardt, Dirk; Nazemi, Kawa

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Burkhardt, Dirk</dc:creator>
  <dc:creator>Nazemi, Kawa</dc:creator>
  <dc:description>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.</dc:description>
  <dc:subject>Law Visualization</dc:subject>
  <dc:subject>Decision  Support Systems</dc:subject>
  <dc:subject>Policy Modeling</dc:subject>
  <dc:subject>Information Visualization</dc:subject>
  <dc:subject>Semantic Web</dc:subject>
  <dc:subject>Semantic Data</dc:subject>
  <dc:title>Visualizing Law - A Norm-Graph Visualization Approach based on Semantic Legal Data</dc:title>
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