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.
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
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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.