DocumentCode :
1595895
Title :
En route to data mining in legal text corpora: clustering, neural computation, and international treaties
Author :
Merkl, Dieter ; Schweighofer, Erich
Author_Institution :
Dept. of Comput. Sci., R. Melbourne Inst. of Technol., Vic., Australia
fYear :
1997
Firstpage :
465
Lastpage :
470
Abstract :
The huge amount of data in legal information systems requires a new generation of techniques and tools to assist lawyers in analyzing data and finding critical nuggets of useful knowledge. A promising approach for data mining in legal text corpora is classification. What we are looking for are powerful methods for the exploration of such libraries whereby the detection of similarities between documents is the overall goal. These methods may be used to gain insight in the inherent structure of the various items contained in a text archive. In this paper, we present the results from a case study in legal document classification based on an experimental document archive comprising important treaties in public international law. The essentials of our approach are the usage of a vector space document representation and the utilization of an unsupervised artificial neural network for document classification
Keywords :
classification; data analysis; document handling; knowledge acquisition; law administration; neural nets; pattern classification; very large databases; case study; data analysis; data clustering; data mining; document archive; document representation; document similarity detection; international treaties; lawyers; legal document classification; legal information systems; legal text corpora; neural computation; public international law; text archive; unsupervised artificial neural network; vector space; Computer science; Data analysis; Data mining; Information analysis; Information retrieval; Law; Legal factors; Libraries; Multimedia databases; Organizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 1997. Proceedings., Eighth International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
0-8186-8147-0
Type :
conf
DOI :
10.1109/DEXA.1997.617333
Filename :
617333
Link To Document :
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