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Full-text indexing of non-textual resources

✍ Scribed by David Byers


Book ID
104309969
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
703 KB
Volume
30
Category
Article
ISSN
0169-7552

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✦ Synopsis


Full-text indexing of resources on the World Wide Web is limited to simple content types, such as HTML and plain text. More complex content types, such as Postscript, PDF and proprietary word-processing formats are excluded, despite the fact that such documents are usually rich in content. The reason for excluding these types of resources is simply that it would be too expensive and too difficult to attempt to extract a textual representation from them. The operator of a search engine is simply not motivated to expend the additional resources that would be needed to handle such documents. The gain would be fairly small, and search engines are extremely popular even when they are limited to HTML and plain text documents.

The situation is quite different from the point-of-view of the content provider. A site may have significant amounts of its content in non-textual documents, but despite this the content provider may want to have the documents indexed in normal search engines.

In this paper we present several server-side solutions that allow existing indexing software to index the textual representation of non-textual resources.


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Full-text documents are a vital and rapidly growing part of online biomedical information. A single large document can contain as much information as a small database, but normally lacks the tight structure and consistent indexing of a database. Retrieval systems will often miss highly relevant part