| 摘要 |
A taxonomy is built by associating metadata with search terms. A body of data records is analyzed to identify pairs of search terms co-occurring in individual data records and to obtain an observed measure of the frequency of such co-occurrences between identified pairs. A taxonomy is then built by constructing metadata and associating the search terms with respective metadata, the metadata for each co-occurring search term identifying at least one other search term with which it co-occurs, together with a measure of relatedness based on the observed co-occurrence frequency measure between the co-occurring pair. |
