Information retrieval in documents using semantic criteria
Contribuinte(s) |
Kay, Judy Milosavljevic, Maria |
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Data(s) |
01/01/1998
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Resumo |
The central problem of automatic retrieval from unformatted text is that computational devices are not adequately trained to look for associated information. However for complete understanding and information retrieval, a complete artificial intelligence would have to be built. This paper describes a method for achieving significant information retrieval by using a semantic search engine. The underlying semantic information is stored in a network of clarified words, linked by logical connections. We employ simple scoring techniques on collections of paths in this network to establish a degree of relevance between a document and a clarified search criterion. This technique has been applied with success to test examples and can be easily scaled up to search large documents. |
Identificador | |
Idioma(s) |
eng |
Publicador |
University of Sydney, Basser Department of Computer Science |
Relação |
http://dro.deakin.edu.au/eserv/DU:30044767/venkatesh-informationretrieval-1998.pdf http://dro.deakin.edu.au/eserv/DU:30044767/venkatesh-informationretrieval-evid-1998.pdf http://sydney.edu.au/engineering/it/research/tr/tr518.pdf |
Direitos |
1998, University of Sydney, Basser Department of Computer Science |
Palavras-Chave | #semantic network #relevance #parsing wordnet #shortest path |
Tipo |
Conference Paper |