Reference : Modeling relevant legal information for consumer disputes

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Law, criminology & political science : Multidisciplinary, general & others
	To cite this reference:	http://hdl.handle.net/10993/30681

Title :	Modeling relevant legal information for consumer disputes
Language :	English
Author, co-author :	Santos, Cristiana [Institute of Law and Technology, Autonomous University of Barcelona - IDT-UAB]
	Rodriguez Doncel, Victor [Universidad Politécnica de Madrid - UPM > Departamento de Inteligencia Artificial > Ontology Engineering Group - OEG]
	Casanovas, Pompeu [Institute of Law and Technology, Autonomous University of Barcelona - IDT-UAB]
	van der Torre, Leon [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	Sep-2016
Main document title :	EGOVIS 2016: Electronic Government and the Information Systems Perspective
Publisher :	Springer
Pages :	150-165
Peer reviewed :	Yes
Event name :	5th International Conference on Electronic Government and the Information Systems Perspective
Event date :	September 5-8, 2016
Event place (city) :	Porto
Event country :	Portugal
Keywords :	[en] relevance ; legal knowledge modeling ; access to legal information
Abstract :	[en] Accessing relevant legal information found in text excerpts from heterogeneous sources is essential to the decision making process in consumer disputes. The Ontology of Relevant Legal Information in Consumer Disputes (ric) is the domain-independent ontology modeling this relevant legal information comprising rights, their requisites, exceptions, constraints, enforcement procedures, legal sources. Its use is exemplified with one extension thereof, the Air Transport Passenger Incidents Ontology (ric-atpi), representing both the possible incidents triggered by a complaint in the air transport passenger domain and the related legal information that might be applicable. The Ontology models the key provisions found in hard law, and those in soft law, comprising heterogeneous sources in a structured manner. An ontology-based system provides the knowledge embedded in the legal sources and their relation to the specific scenario.
Permalink :	http://hdl.handle.net/10993/30681

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