Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site
| dc.creator | Barbara Richards, Boris Lauser, Anita Liang, Johannes Keizer, Stephen Katz | |
| dc.date | 2023-04-27T11:46:22Z | |
| dc.date | 2023-04-27T11:46:22Z | |
| dc.date | 2003 | |
| dc.date | 2019-05-28T15:41:23.0000000Z | |
| dc.date.accessioned | 2026-06-27T22:41:44Z | |
| dc.description | 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. | |
| dc.format | 2 | |
| dc.format | application/pdf | |
| dc.identifier | https://openknowledge.fao.org/handle/20.500.14283/af244e | |
| dc.identifier | http://www.fao.org/3/a-af244e.pdf | |
| dc.identifier.uri | http://hdl.handle.net/123456789/260234 | |
| dc.language | English | |
| dc.rights | FAO | |
| dc.title | Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site | |
| dc.title | Automatically Categorizing Metadata Databases into a Categorization Scheme on a Large Scale Web Site | |
| dc.type | Book (stand-alone) |