Search (3 results, page 1 of 1)

  • × author_ss:"Julien, C.-A."
  • × author_ss:"Leide, J.E."
  1. Julien, C.-A.; Tirilly, P.; Leide, J.E.; Guastavino, C.: Constructing a true LCSH tree of a science and engineering collection (2012) 0.00
    0.003515392 = product of:
      0.007030784 = sum of:
        0.007030784 = product of:
          0.014061568 = sum of:
            0.014061568 = weight(_text_:a in 512) [ClassicSimilarity], result of:
              0.014061568 = score(doc=512,freq=24.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.26478532 = fieldWeight in 512, product of:
                  4.8989797 = tf(freq=24.0), with freq of:
                    24.0 = termFreq=24.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=512)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The Library of Congress Subject Headings (LCSH) is a subject structure used to index large library collections throughout the world. Browsing a collection through LCSH is difficult using current online tools in part because users cannot explore the structure using their existing experience navigating file hierarchies on their hard drives. This is due to inconsistencies in the LCSH structure, which does not adhere to the specific rules defining tree structures. This article proposes a method to adapt the LCSH structure to reflect a real-world collection from the domain of science and engineering. This structure is transformed into a valid tree structure using an automatic process. The analysis of the resulting LCSH tree shows a large and complex structure. The analysis of the distribution of information within the LCSH tree reveals a power law distribution where the vast majority of subjects contain few information items and a few subjects contain the vast majority of the collection.
    Type
    a
  2. Julien, C.-A.; Tirilly, P.; Leide, J.E.; Guastavino, C.: Using the LCSH hierarchy to browse a collection (2012) 0.00
    0.0026742492 = product of:
      0.0053484985 = sum of:
        0.0053484985 = product of:
          0.010696997 = sum of:
            0.010696997 = weight(_text_:a in 834) [ClassicSimilarity], result of:
              0.010696997 = score(doc=834,freq=20.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.20142901 = fieldWeight in 834, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=834)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    The Library of Congress Subject Headings (LCSH) is a subject structure used to index large collections throughout the world. Browsing a collection through LCSH is difficult using current on-line tools in part because they are inadequately integrated with information collections. Users of these LCSH browsing tools are expected to find a promising LCSH string before using it to search for the information itself; many users do not have the patience for such a two-step process. This article proposes a method to fully integrate a specific collection in its subset of the LCSH hierarchy in order to facilitate LCSH browsing as well as information retrieval. Techniques are described to match LCSH strings assigned to the collection with an established string from the authority records, and build their specific LCSH hierarchy. The resulting subset of LCSH structure is described in terms of its size and broader/narrower term statistics, and implications for browsing and information retrieval are discussed. The results of this research have implications for institutions wishing to further capitalize on existing LCSH organization investments for the purpose of subject browsing and information retrieval.
    Source
    Categories, contexts and relations in knowledge organization: Proceedings of the Twelfth International ISKO Conference 6-9 August 2012, Mysore, India. Eds.: Neelameghan, A. u. K.S. Raghavan
    Type
    a
  3. Julien, C.-A.; Leide, J.E.; Bouthillier, F.: Controlled user evaluations of information visualization interfaces for text retrieval : literature review and meta-analysis (2008) 0.00
    0.002269176 = product of:
      0.004538352 = sum of:
        0.004538352 = product of:
          0.009076704 = sum of:
            0.009076704 = weight(_text_:a in 1718) [ClassicSimilarity], result of:
              0.009076704 = score(doc=1718,freq=10.0), product of:
                0.053105544 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046056706 = queryNorm
                0.1709182 = fieldWeight in 1718, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1718)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This review describes experimental designs (users, search tasks, measures, etc.) used by 31 controlled user studies of information visualization (IV) tools for textual information retrieval (IR) and a meta-analysis of the reported statistical effects. Comparable experimental designs allow research designers to compare their results with other reports, and support the development of experimentally verified design guidelines concerning which IV techniques are better suited to which types of IR tasks. The studies generally use a within-subject design with 15 or more undergraduate students performing browsing to known-item tasks on sets of at least 1,000 full-text articles or Web pages on topics of general interest/news. Results of the meta-analysis (N = 8) showed no significant effects of the IV tool as compared with a text-only equivalent, but the set shows great variability suggesting an inadequate basis of comparison. Experimental design recommendations are provided which would support comparison of existing IV tools for IR usability testing.
    Type
    a