Poster

Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site

  • Barbara Richards 1
  • Boris Lauser 1
  • Johannes Keizer 2
  • Stephen Katz 2
  • 1 Food and Agriculture Organization of the UN, Italy
  • 2 Food and Agriculture Organization of the UN, Rome, Italy
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Open access CC BY 4.0
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Abstract

In order to provide thematic access to the large scale web site of the Food and Agriculture Organization (FAO), we have adapted a scheme used in bibliographical databases to allow subject browsing on FAO’s web site. This requires categorizing existing database records across the organizations web sites into the new scheme. An algorithm to automatically categorize these metadata records based on their subject descriptors has been devised.

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Article details

Published
Section
Posters
DOI
10.23106/dcmi.952107614
License
CC BY 4.0 · open access

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dcterms:title
Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site
dcterms:creator
Richards, Barbara
Lauser, Boris
Keizer, Johannes
Katz, Stephen
dcterms:date
2003-09-28
dcterms:identifier
doi:10.23106/dcmi.952107614
dcterms:publisher
Dublin Core Metadata Initiative
dcterms:type
Text
dcterms:language
en
dcterms:rights
CC BY 4.0