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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/56018778 Title: Experimental linguistic indexing for information retrieval : ELIXIR Author: Carol Jean Godby; Bradley C Watson Publisher: OCLC:56018778

  
  

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Experimental linguistic indexing for information retrieval : ELIXIR

Author:	Carol Jean Godby; Bradley C Watson
Edition/Format:	Article : English
Publication:	Annual review of OCLC research, July 1992-June 1993
Summary:	The primary goal of the ELIXIR project was to achieve improvements in the performance of text-retrieval systems by confronting some of the challenges presented by the indexing of full-text documents. We explored two hypotheses involving the use of linguistic analysis to improve the automatic creation of indexes : if it is possible to develop algorithms that index only the words which most closely capture the document's content - not the complete text; if it is possible to create indexing algorithms that perform a minimal syntactic parse required to capture important phrases, the index may represent the document's content even more accurately, increasing the likelihood that the article can be retrieved by a relevant query.  Read more...
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Subjects	Automatic indexing. Information retrieval. Linguistic analysis (Linguistics)
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