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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. Attached Files Name Description MIMEType Size Downloads venkatesh-informationretrieval-1998.pdf Published version application/pdf 451.67KB 7 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 Every reasonable effort has been made to ensure that permission has been obtained for items included in Deakin Research Online. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au 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 Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Link to Related Work Information retrieval in documents using semantic criteria (deposited 16-07-2014) University of Sydney, Basser Department of Computer Science (Formerly) Publisher (deposited 09-05-2012)   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 01 May 2012, 10:56:51 EST Wed, 02 May 2012, 12:36:30 EST Wed, 02 May 2012, 12:41:21 EST Fri, 09 Nov 2012, 10:14:12 EST Filtered Full Access Statistics: 32 Abstract Views, 8 File Downloads  -  Detailed Statistics Created: Tue, 01 May 2012, 10:56:51 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.