skip to content
Experimental linguistic indexing for information retrieval : ELIXIR
ClosePreview this item
Checking...

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
Database:WorldCat
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  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

&AllPage.SpinnerRetrieving;

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Document Type: Article
All Authors / Contributors: Carol Jean Godby; Bradley C Watson
OCLC Number: 56018778
Notes: Caption title.
Description: pages 17-20.
Responsibility: project managers C. Jean Godby, Bradley C. Watson.

Abstract:

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.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


<http://www.worldcat.org/oclc/56018778>
library:oclcnum"56018778"
library:placeOfPublication
rdf:typeschema:Article
schema:about
schema:about
schema:about
schema:about
schema:about
schema:contributor
schema:creator
schema:datePublished"1994"
schema:description"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."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/15755977>
schema:inLanguage"en"
schema:name"Experimental linguistic indexing for information retrieval : ELIXIR"@en
wdrs:describedby

Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.