Learning and Verification of Legal Ontologies by Means of Conceptual Analysis

rechtsinformatik.univie.ac.at Abstract. A combination of intellectual input, NLP tools and appropriate ontological representation may overcome the existing bottleneck of legal knowledge acquisition of legal ontologies. Such semi-automatic tools rely on easily available input, extensive iterative semiautomatic checking and refining of this knowledge. Preliminary results using the tools of SOM/GHSOM, KONTERM and GATE show the feasibility of this method. However, it remains to be seen if a sufficient number of legal writers will adapt to this new workbench