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Information retrieval in documents using semantic criteria

conference contribution
posted on 1998-01-01, 00:00 authored by B Mills, Svetha VenkateshSvetha Venkatesh, M Kumar, L Narasimhan
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.

History

Event

Australian Document Computing Symposium (3rd : 1998 : Sydney, N. S. W.)

Pagination

47 - 53

Publisher

University of Sydney, Basser Department of Computer Science

Location

Sydney, N. S. W.

Place of publication

Sydney, N. S. W.

Start date

1998-08-20

ISBN-10

186487001X

Language

eng

Notes

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Publication classification

E1.1 Full written paper - refereed

Copyright notice

1998, University of Sydney, Basser Department of Computer Science

Editor/Contributor(s)

J Kay, M Milosavljevic

Title of proceedings

Proceedings of ADCS '98 : Third Australian Document Computing Symposium

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