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Titolo:
Improving legal information retrieval using an ontological framework.
Autore:
M.Saravanan; B.Ravindran; S.Raman;
Titolo Testata:
Artificial intelligence and law
fascicolo: 2, volume: 17, anno: 2009,
pagine: 101 - 124
SICI:
0924-8463(2009)17:2<101:>2.0.ZU;2-6
Fonte:
UNIBO
Lingua:
ENG
Keywords:
Information retrieval; knowledge base; legal ontology; query enhancement;
Tipo documento:
Article
Natura:
Periodico
Recensione:
Indirizzi per estratti:
Citazione:
M.saravanan et al., "Improving legal information retrieval using an ontological framework.", Artificial intelligence and law, 17(2), 2009, pp. 101-124

Abstract

A variety of legal documents are increasingly being made available in electronic format. Automatic Information Search and Retrieval algorithms play a key role in enabling efficient access to such digitized documents. Although keyword-based search is the traditional method used for text retrieval, they perform poorly when literal term matching is done for query processing, due to synonymy and ambivalence of words. To overcome these drawbacks, an ontological framework to enhance the user s query for retrieval of truly relevant legal judgments has been proposed in this paper. Ontologies ensure efficient retrieval by enabling inferences based on domain knowledge, which is gathered during the construction of the knowledge base. Empirical results demonstrate that ontology-based searches generate significantly better results than traditional search methods.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 11:34:06