Ontology-driven Generation of Training Paths in the Legal Domain

Authors

  • Nicola Capuano University of Salerno
  • Andrea Longhi University of Salerno
  • Saverio Salerno University of Salerno
  • Daniele Toti University of Salerno

DOI:

https://doi.org/10.3991/ijet.v10i7.4609

Keywords:

adaptive learning systems, semantic search, online dispute resolution, text analysis, knowledge representation, ontology engineering, ontology integration

Abstract


This paper presents a methodology for helping citizens obtain guidance and training when submitting a natural language description of a legal case they are interested in. This is done via an automatic mechanism, which firstly extracts relevant legal concepts from the given textual description, by relying upon an underlying legal ontology built for such a purpose and an enrichment process based on common-sense knowledge. Then, it proceeds to generate a training path meant to provide citizens with a better understanding of the legal issues arising from the given case, with corresponding links to relevant laws and jurisprudence retrieved from an external legal repository. This work de-scribes the creation of the underlying legal ontology from existing sources and the ontology integration algorithm used for its production; besides, it details the generation of the training paths and reports the results of the preliminary experimentation that has been carried out so far. This methodology has been implemented in an Online Dispute Resolution (ODR) system that is part of an Italian initiative for assisted legal mediation.

Author Biographies

Nicola Capuano, University of Salerno

Department of Computer and Electric Engineering and Applied Mathematics

Andrea Longhi, University of Salerno

Department of Computer and Electric Engineering and Applied Mathematics

Saverio Salerno, University of Salerno

Department of Computer and Electric Engineering and Applied Mathematics

Daniele Toti, University of Salerno

Department of Computer and Electric Engineering and Applied Mathematics

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Published

2015-05-04

How to Cite

Capuano, N., Longhi, A., Salerno, S., & Toti, D. (2015). Ontology-driven Generation of Training Paths in the Legal Domain. International Journal of Emerging Technologies in Learning (iJET), 10(7), pp. 14–22. https://doi.org/10.3991/ijet.v10i7.4609

Issue

Vol. 10 No. 7 (2015): Special Issue ALICE 2014

Section

Special Focus Papers

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