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A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases

Published: 02 June 2014 Publication History

Abstract

We describe a methodology for the automatic classification of legal cases expressed in natural language, which relies on existing legal ontologies and a commonsense knowledge base. This methodology is founded on a process consisting of three phases: an enrichment of a given legal ontology by associating its terms with topics retrieved from the Wikipedia knowledge base; an extraction of relevant concepts from a given textual legal case; and a matching between the enriched ontological terms and the extracted concepts. Such a process has been successfully implemented in a corresponding tool that is part of a larger framework for self-litigation and legal support for the Italian law.

References

[1]
Arosio, G., Bagnara, G., Capuano, N., Fersini, E., and Toti, D.: Ontology-driven Data Acquisition: Intelligent Support to Legal ODR Systems. In International Conference on Legal Knowledge and Information Systems (JURIX), 2013.
[2]
Bartolini, R., et al.: Automatic Classification and Analysis of Provisions in Italian Legal Texts: A Case Study. In OTM Workshops 2004, LNCS 3292, pages. 593--604, 2004.
[3]
Bellucci, E. and Zeleznikow, J.: Family winner: A computerised negotiation support system which advises upon australian family law. In ISDSS2001, 2001, pages 74--85.
[4]
Breuker, J.: Constructing a legal core ontology: Lri-core. In Proceedings of the Workshop on Ontologies and their Applications, Sao Luis, Maranhao, Brazil, 2004.
[5]
Dejure. http://dejure.giuffre.it
[6]
Eurovoc. http://eurovoc.europa.eu
[7]
Gangemi, A., Prisco, A., Sagri, M.T., Steve, G., and Tiscornia, D.: Some ontological tools to support legal regulatory compliance, with a case study. In Meersman, R. and Tari, Z., editors, On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops, volume 2889 of Lecture Notes in Computer Science, pages 607--620. Springer-Verlag, 2003.
[8]
Gangemi, A., Sagri, M.T., and Tiscornia, D.:Metadata for content description in legal information. In 14th International Workshop on Database and Expert Systems Applications (DEXA'03), IEEE Computer Society, 2003.
[9]
Hage, J. and Verheij, B,: The law as a dynamic interconnected system of states of affairs: A legal top ontology. In International Journal of Human-Computer Studies, 51(6):1043--1077, 1999.
[10]
Italgiure Web. http://www.italgiure.giustizia.it/
[11]
Mihalcea, R., and Csomai, A.: Wikify!: linking documents to encyclopedic knowledge. In Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM), 2001.
[12]
Milne, D. and Witten, I.H.: An open-source toolkit for mining Wikipedia. In Proc. New Zealand Computer Science Research Student Conf., NZCSRSC, 2011. http://wikipedia-miner.cms.waikato.ac.nz
[13]
Stranieri, A. and Zeleznikow, J.: The Split_Up system: Integrating neural networks and rule-based reasoning in the legal domain. In proc. of the Fifth International Conference on Artificial Intelligence and Law, 1995.
[14]
The Gene Ontology. http://www.geneontology.org
[15]
Uijttenbroek, E.M., Lodder, A.R., Klein, M.C.A., Wildeboer, G.R., van Steenbergen, W.R., Sie, L. L., Huygen, P.E.M. and van Harmelen, F.: Retrieval of Case Law to Provide Layman with Information about Liability: Preliminary Results of the BEST-project. In Computable Models of the Law, 2008.
[16]
Valente, A. and Breuker, J.: A functional ontology of law. In Bargellini, G. and Binazzi, S., editors, Towards a Global Expert System in Law. Cedam Publishers, Padua, Italy, 1994.
[17]
van Kralingen, R. W.: Frame-based Conceptual Models of Statute Law. In Computer/Law Series, 16, Kluwer Law International, The Hague, 1995.
[18]
van Kralingen, R. W.: A conceptual frame-based ontology for the law. In Visser, P. and Winkels, R., editors, Proceedings of the First International Workshop on Legal Ontologies (LEGONT'97), pages 15--22, 1997.
[19]
van Rijsbergen, C.J.: Information Retrieval, second ed., Dept. of Computer Science, University of Glasgow, 1979.
[20]
WordNet. http://wordnet.princeton.edu
[21]
Zeleznikow, J., Meersman, R., Hunter, D. and van Helvoort, E.: Computer tools for aiding legal negotiation. In proc. of the 6th Australasian Conference on Information Systems, 1995.

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  1. A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases

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        cover image ACM Other conferences
        WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
        June 2014
        506 pages
        ISBN:9781450325387
        DOI:10.1145/2611040
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Published: 02 June 2014

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        • (2022)Experimentation of a smart learning system for law based on knowledge discovery and cognitive computingComputers in Human Behavior10.1016/j.chb.2018.03.03492:C(459-467)Online publication date: 20-Apr-2022
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