Poster
Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site
Barbara Richards ,Boris Lauser ,Johannes Keizer ,Stephen Katz
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.
Author information
Johannes Keizer
Food and Agriculture Organization of the UN, Rome, Italy
Stephen Katz
Food and Agriculture Organization of the UN, Rome, Italy
Cite this article
Richards, B., Lauser, B., Keizer, J., & Katz, S. (2003). Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site. Proceedings of the International Conference on Dublin Core and Metadata Applications, 2003. https://doi.org/10.23106/dcmi.952107614
- Published
Issue
DC-2003--Seattle Proceedings
- Location:
- Seattle, Washington, USA
- Dates:
- September 28 - October 2, 2003
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