The Legal Concepts and the Layman's TermsBridging the Gap through Ontology-Based Reasoning about Liability

Authors:
Ronny van Laarschot;Wouter van Steenbergen;Heiner Stuckenschmidt;Arno R. Lodder;Frank van Harmelen
Affiliations:
Department of Artificial Intelligence, Vrije Universiteit Amsterdam;Computer/Law Institute, Vrije Universiteit Amsterdam;Department of Artificial Intelligence, Vrije Universiteit Amsterdam;Computer/Law Institute, Vrije Universiteit Amsterdam;Department of Artificial Intelligence, Vrije Universiteit Amsterdam
Venue:
Proceedings of the 2005 conference on Legal Knowledge and Information Systems: JURIX 2005: The Eighteenth Annual Conference
Year:
2005

Citing 4
Cited 7

OilEd: A Reason-able Ontology Editor for the Semantic Web

KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
The description logic handbook: theory, implementation, and applications

The description logic handbook: theory, implementation, and applications
Exploring Large Document Repositories with RDF Technology: The DOPE Project

IEEE Intelligent Systems
Iuriservice II: ontology development and architectural design

ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law

Case law retrieval by concept search and visualization

Proceedings of the 11th international conference on Artificial intelligence and law
Contracting and Copyright Issues for Composite Semantic Services

ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Thesaurus-based Retrieval of Case Law

Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Understanding the law: improving legal knowledge dissemination by translating the contents of formal sources of law

Artificial Intelligence and Law
BestPortal: Lessons Learned in Lightweight Semantic Access to Court Proceedings

Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
An Ontology for the Implementation of the EU Services Directive

Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
Case Frames as Contextual Mappings to Case Law in BestPortal

Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

The aim of the BEST-project is to support laymen in judging their legal position through intelligent disclosure of case-law in the area of Dutch tort law. A problem we have to face in this context is the discrepancy between the terminology laymen use to describe their case and the terminology found in legal documents. We address this problem by supporting users to describe their case in common sense terms taken from an ontology. We use logical reasoning to automatically determine law articles that are relevant for determining liability of parties in a case based on this description, thus bridging the gap between the laymen's description and the terminology relevant for certain articles that can be found in legal documents. We introduce the BEST-project and describe the ontology built for supporting case descriptions focussing on its use for automatically determining relevant articles of law.