Search (2 results, page 1 of 1)

  • × year_i:[1980 TO 1990}
  • × author_ss:"Bates, M.J."
  1. Bates, M.J.: How to use controlled vocabularies more effectively in online searching (1989) 0.02
    0.016527288 = product of:
      0.06610915 = sum of:
        0.06610915 = weight(_text_:data in 2883) [ClassicSimilarity], result of:
          0.06610915 = score(doc=2883,freq=10.0), product of:
            0.120893985 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.03823278 = queryNorm
            0.5468357 = fieldWeight in 2883, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2883)
      0.25 = coord(1/4)
    
    Abstract
    Optimal retrieval in on-line searching can be achieved through combined use of both natural language and controlled vocabularies. However, there is a large variety of types of controlled vocabulary in data bases and often more than one in a single data base. Optimal use of these vocabularies requires understanding what types of languages are involved, and taking advantage of the particular mix of vocabularies in a given data base. Examples 4 major types of indexing and classification used in data bases and puts these 4 in the context of 3 other approaches to subject access. Discusses how to evaluate a new data base for various forms of subject access.
  2. Bates, M.J.: How to use controlled vocabularies more effectively in online searching (1989) 0.02
    0.016527288 = product of:
      0.06610915 = sum of:
        0.06610915 = weight(_text_:data in 207) [ClassicSimilarity], result of:
          0.06610915 = score(doc=207,freq=10.0), product of:
            0.120893985 = queryWeight, product of:
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.03823278 = queryNorm
            0.5468357 = fieldWeight in 207, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.1620505 = idf(docFreq=5088, maxDocs=44218)
              0.0546875 = fieldNorm(doc=207)
      0.25 = coord(1/4)
    
    Abstract
    Optimal retrieval in on-line searching can be achieved through combined use of both natural language and controlled vocabularies. However, there is a large variety of types of controlled vocabulary in data bases and often more than one in a single data base. Optimal use of these vocabularies requires understanding what types of languages are involved, and taking advantage of the particular mix of vocabularies in a given data base. Examples 4 major types of indexing and classification used in data bases and puts these 4 in the context of 3 other approaches to subject access. Discusses how to evaluate a new data base for various forms of subject access.