Search (3 results, page 1 of 1)

  • × author_ss:"Bates, M.J."
  • × year_i:[1980 TO 1990}
  1. Bates, M.J.: ¬The fallacy of the perfect thirty-item online search (1984) 0.07 
    0.069699265 = product of:
  0.104548894 = sum of:
    0.067894526 = weight(_text_:bibliographic in 857) [ClassicSimilarity], result of:
      0.067894526 = score(doc=857,freq=2.0), product of:
        0.19731061 = queryWeight, product of:
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.05068286 = queryNorm
        0.34409973 = fieldWeight in 857, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.0625 = fieldNorm(doc=857)
    0.036654368 = product of:
      0.073308736 = sum of:
        0.073308736 = weight(_text_:searching in 857) [ClassicSimilarity], result of:
          0.073308736 = score(doc=857,freq=2.0), product of:
            0.20502694 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.05068286 = queryNorm
            0.3575566 = fieldWeight in 857, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0625 = fieldNorm(doc=857)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Abstract
    Problems in determining output size are sometimes associated with the performance of online bibliographic searches for clients in academic and other libraries. These problems are examined through discussion of a fallacy in thinking that arises when searchers try to produce the "perfect thirty-item" online search. Origins of the fallacy are explored by considering sources of misunderstandings between client and searcher and by identifying differences between manual and online searching. Several types of online searches are distinguished, and search techniques that avoid the fallacy are recommended for each search type
  2. Bates, M.J.: How to use controlled vocabularies more effectively in online searching (1989) 0.02 
    0.015119157 = product of:
  0.04535747 = sum of:
    0.04535747 = product of:
      0.09071494 = sum of:
        0.09071494 = weight(_text_:searching in 2883) [ClassicSimilarity], result of:
          0.09071494 = score(doc=2883,freq=4.0), product of:
            0.20502694 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.05068286 = queryNorm
            0.44245374 = fieldWeight in 2883, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2883)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    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.
  3. Bates, M.J.: How to use controlled vocabularies more effectively in online searching (1989) 0.02 
    0.015119157 = product of:
  0.04535747 = sum of:
    0.04535747 = product of:
      0.09071494 = sum of:
        0.09071494 = weight(_text_:searching in 207) [ClassicSimilarity], result of:
          0.09071494 = score(doc=207,freq=4.0), product of:
            0.20502694 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.05068286 = queryNorm
            0.44245374 = fieldWeight in 207, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0546875 = fieldNorm(doc=207)
      0.5 = coord(1/2)
  0.33333334 = coord(1/3)
    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.

Themes