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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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.
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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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