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Anchor Point Indexing in Web Document Retrieval (2000)
| Venue: | IEEE Transactions on Systems, Man and Cybernetic |
BibTeX
@ARTICLE{Joseph00anchorpoint,
author = {Ben Kao Joseph and Joseph Lee and Chi-yuen Ng and David Cheung},
title = {Anchor Point Indexing in Web Document Retrieval},
journal = {IEEE Transactions on Systems, Man and Cybernetic},
year = {2000},
volume = {30},
pages = {364--373}
}
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Abstract
Traditional WWW search engines, suchasAlta Vista, index and recommend individual Web pages to assist users in locating relevant documents. As the Web grows, however, the number of matching pages increases at a tremendous rate. Users are often overwhelmed by the large answer set recommended by the search engines. Also, if a matching documentis ahypertext, the document structure is destroyed and the individual pages that compose the document are returned instead. The logical starting point of the hyper-documentis thus hidden among the large basket of matching pages. Users need to spend a lot of effort browsing through the pages to locate the starting point, a very time consuming process.
Keyphrases
web document retrieval anchor point indexing matching documentis ahypertext traditional www search engine page increase web grows tremendous rate starting point large answer document structure relevant document search engine suchasalta vista individual page individual web page large basket
