TY - JOUR
T1 - Ontology-driven generation of training paths in the legal domain
AU - Capuano, Nicola
AU - Longhi, Andrea
AU - Salerno, Saverio
AU - Toti, Daniele
PY - 2015
Y1 - 2015
N2 - 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 describes 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.
AB - 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 describes 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.
KW - Adaptive learning systems
KW - Knowledge representation
KW - Online dispute resolution
KW - Ontology engineering
KW - Ontology integration
KW - Semantic search
KW - Text analysis
KW - Adaptive learning systems
KW - Knowledge representation
KW - Online dispute resolution
KW - Ontology engineering
KW - Ontology integration
KW - Semantic search
KW - Text analysis
UR - http://hdl.handle.net/10807/163319
U2 - 10.3991/ijet.v10i7.4609
DO - 10.3991/ijet.v10i7.4609
M3 - Article
SN - 1868-8799
VL - 10
SP - 14
EP - 22
JO - INTERNATIONAL JOURNAL: EMERGING TECHNOLOGIES IN LEARNING
JF - INTERNATIONAL JOURNAL: EMERGING TECHNOLOGIES IN LEARNING
ER -