Search (3 results, page 1 of 1)

0.008167865 = product of:
  0.01633573 = sum of:
    0.01633573 = product of:
      0.03267146 = sum of:
        0.03267146 = weight(_text_:systems in 2114) [ClassicSimilarity], result of:
          0.03267146 = score(doc=2114,freq=2.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.2037246 = fieldWeight in 2114, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.046875 = fieldNorm(doc=2114)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The last several years have seen the evolution of prototype systems exploiting the use of the Dewey Decimal Classification (DDC) as an interface to online catalogs. One such system, calles DORS (Dewy Online Retrieval System) was developed at the University of California, Los Angeles by the authors. The feature distinguishing this system is an automatically generated chain index, in particular the algorithms that were created for its automatic generation and the problems that were encountered. The problems were of three kinds: those that were overcome, but were not for lack of time and resources and those that we believe cannot be overcome. The paper concludes with suggestions for future resaerch and possible formatting changes to the DDC feature headings that would facilitate chain-index generation

0.008167865 = product of:
  0.01633573 = sum of:
    0.01633573 = product of:
      0.03267146 = sum of:
        0.03267146 = weight(_text_:systems in 5968) [ClassicSimilarity], result of:
          0.03267146 = score(doc=5968,freq=2.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.2037246 = fieldWeight in 5968, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.046875 = fieldNorm(doc=5968)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Some empirical studies have explored the direct use of traditional classification schemes in the online environment; none has manipulated these manual classifications in such a way as to take full advantage of the power of both the classification and computer. It has been suggested that this power could be realized if the individual components of synthesized DDC numbers could be identified and indexed. Looks at the feasibility of automatically decomposing DDC synthesized numbers and the implications of such decompositions for informational retrieval. 1.701 sythesized numbers were decomposed by a computer system called DND (Dewey Number Decomposer). 600 were randomly selected for examination by 3 judges, each evaluating 200 numbers. The decomposition success rate was 100% and it was concluded that synthesized DDC numbers can be accurately decomposed automatically. The study has implications for information retrieval, expert systems for assigning DDC numbers, automatic indexing, switching language development and other important areas of cataloguing and classification

0.0068065543 = product of:
  0.013613109 = sum of:
    0.013613109 = product of:
      0.027226217 = sum of:
        0.027226217 = weight(_text_:systems in 5969) [ClassicSimilarity], result of:
          0.027226217 = score(doc=5969,freq=2.0), product of:
            0.16037072 = queryWeight, product of:
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.052184064 = queryNorm
            0.1697705 = fieldWeight in 5969, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0731742 = idf(docFreq=5561, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5969)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Much literature has been written speculating upon how classification can be used in online catalogs to improve information retrieval. While some empirical studies have been done exploring whether the direct use of traditional classification schemes designed for a manual environment is effective and efficient in the online environment, none has manipulated these manual classifications in such a w ay as to take full advantage of the power of both the classification and computer. It has been suggested by some authors, such as Wajenberg and Drabenstott, that this power could be realized if the individual components of synthesized DDC numbers could be identified and indexed. This paper looks at the feasibility of automatically decomposing DDC synthesized numbers and the implications of such decomposition for information retrieval. Based on an analysis of the instructions for synthesizing numbers in the main class Arts (700) and all DDC Tables, 17 decomposition rules were defined, 13 covering the Add Notes and four the Standard Subdivisions. 1,701 DDC synthesized numbers were decomposed by a computer system called DND (Dewey Number Decomposer), developed by the author. From the 1,701 numbers, 600 were randomly selected fo r examination by three judges, each evaluating 200 numbers. The decomposition success rate was 100% and it was concluded that synthesized DDC numbers can be accurately decomposed automatically. The study has implications for information retrieval, expert systems for assigning DDC numbers, automatic indexing, switching language development, enhancing classifiers' work, teaching library school students, and providing quality control for DDC number assignments. These implications were explored using a prototype retrieval system.