Poster

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

Barbara Richards , Boris Lauser , Johannes Keizer , Stephen Katz
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Wikidata ID: Q120636533
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

Barbara Richards
Food and Agriculture Organization of the UN, Italy,
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Boris Lauser
Food and Agriculture Organization of the UN, Italy,
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Johannes Keizer
Food and Agriculture Organization of the UN, Rome, Italy,
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Stephen Katz
Food and Agriculture Organization of the UN, Rome, Italy,
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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. International Conference on Dublin Core and Metadata Applications, 2003. https://doi.org/10.23106/dcmi.952107614

DOI : 10.23106/dcmi.952107614

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