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Information retrieval in documents using semantic criteria

Mills, B., Venkatesh, S., Kumar, M. and Narasimhan, L. 1998, Information retrieval in documents using semantic criteria, in Proceedings of ADCS '98 : Third Australian Document Computing Symposium, University of Sydney, Basser Department of Computer Science, Sydney, N. S. W., pp. 47-53.

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Title Information retrieval in documents using semantic criteria
Author(s) Mills, B.
Venkatesh, S.
Kumar, M.
Narasimhan, L.
Conference name Australian Document Computing Symposium (3rd : 1998 : Sydney, N. S. W.)
Conference location Sydney, N. S. W.
Conference dates 20 Aug. 1998
Title of proceedings Proceedings of ADCS '98 : Third Australian Document Computing Symposium
Editor(s) Kay, Judy
Milosavljevic, Maria
Publication date 1998
Conference series Australian Document Computing Symposium
Start page 47
End page 53
Total pages 7
Publisher University of Sydney, Basser Department of Computer Science
Place of publication Sydney, N. S. W.
Keyword(s) semantic network
relevance
parsing wordnet
shortest path
Summary 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.
Notes
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ISBN 186487001X
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©1998, University of Sydney, Basser Department of Computer Science
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044767

Document type: Conference Paper
Collections: School of Information Technology
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