Search (1 results, page 1 of 1)

  • × author_ss:"Chen, H.M."
  • × type_ss:"el"
  1. Buckland, M.; Chen, A.; Chen, H.M.; Kim, Y.; Lam, B.; Larson, R.; Norgard, B.; Purat, J.; Gey, F.: Mapping entry vocabulary to unfamiliar metadata vocabularies (1999) 0.01
    0.014540519 = product of:
      0.072702594 = sum of:
        0.072702594 = weight(_text_:thesaurus in 1238) [ClassicSimilarity], result of:
          0.072702594 = score(doc=1238,freq=2.0), product of:
            0.23732872 = queryWeight, product of:
              4.6210785 = idf(docFreq=1182, maxDocs=44218)
              0.051357865 = queryNorm
            0.30633712 = fieldWeight in 1238, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.6210785 = idf(docFreq=1182, maxDocs=44218)
              0.046875 = fieldNorm(doc=1238)
      0.2 = coord(1/5)
    
    Abstract
    The emerging network environment brings access to an increasing population of heterogeneous repositories. Inevitably, these, have quite diverse metadata vocabularies (categorization codes, classification numbers, index and thesaurus terms). So, necessarily, the number of metadata vocabularies that are accessible but unfamiliar for any individual searcher is increasing steeply. When an unfamiliar metadata vocabulary is encountered, how is a searcher to know which codes or terms will lead to what is wanted? This paper reports work at the University of California, Berkeley, on the design and development of English language indexes to metadata vocabularies. Further details and the current status of the work can be found at the project website http://www.sims.berkeley.edu/research/metadata/