Knowledge Representation for the Intelligent Legal Case Retrieval

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Zeng, Yiming, Wang, Ruili, Zeleznikow, John ORCID: 0000-0002-8786-2644 and Kemp, Elizabeth (2005) Knowledge Representation for the Intelligent Legal Case Retrieval. In: Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings. Khosla, Rajiv, Howlett, Robert J and Jain, Lakhmi C, eds. Lecture Notes in Computer Science 0302-9743, 1 (3681). Springer, Berlin, Germany, pp. 339-345.


In this paper, we develop a knowledge representation model for the intelligent retrieval of legal cases, which provides effective legal case management. Examples are taken from the domain of accident compensation. A new set of sub-elements for legal case representation has been developed to extend the traditional representation elements of issues and factors. In our model, an issue may need to be further decomposed into sub-issues, and factors are categorized into pro-claimant, pro-responder and neutral factors. These extensions can effectively reveal the factual relevance between legal cases. Based on the knowledge representation model, we propose the IPN algorithm for intelligent legal case retrieval. Experiments and statistical analysis have been conducted to demonstrate the effectiveness of the proposed representation model and the IPN algorithm.

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Additional Information

KES 2005, LNAI 3681

Item type Book Section
DOI 10.1007/11552413_49
Official URL
ISBN 9783540288947 (print) 9783540319832 (online)
Subjects Historical > RFCD Classification > 280000 Information, Computing and Communication Sciences
Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0806 Information Systems
Historical > FOR Classification > 1801 Law
Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Keywords ResPubID8598 precedent, cased-based retrieval, legal case-based reasoning, HYPO model, CATO model, algorithm
Citations in Scopus 14 - View on Scopus
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