Search (4 results, page 1 of 1)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  • × theme_ss:"Verbale Doksprachen im Online-Retrieval"
  1. Milstead, J.L.: Thesauri in a full-text world (1998) 0.03
    0.03128866 = product of:
      0.06257732 = sum of:
        0.06257732 = sum of:
          0.027226217 = weight(_text_:systems in 2337) [ClassicSimilarity], result of:
            0.027226217 = score(doc=2337,freq=2.0), product of:
              0.16037072 = queryWeight, product of:
                3.0731742 = idf(docFreq=5561, maxDocs=44218)
                0.052184064 = queryNorm
              0.1697705 = fieldWeight in 2337, 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=2337)
          0.0353511 = weight(_text_:22 in 2337) [ClassicSimilarity], result of:
            0.0353511 = score(doc=2337,freq=2.0), product of:
              0.1827397 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.052184064 = queryNorm
              0.19345059 = fieldWeight in 2337, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=2337)
      0.5 = coord(1/2)
    
    Abstract
    Despite early claims to the contemporary, thesauri continue to find use as access tools for information in the full-text environment. Their mode of use is changing, but this change actually represents an expansion rather than a contrdiction of their utility. Thesauri and similar vocabulary tools can complement full-text access by aiding users in focusing their searches, by supplementing the linguistic analysis of the text search engine, and even by serving as one of the tools used by the linguistic engine for its analysis. While human indexing contunues to be used for many databases, the trend is to increase the use of machine aids for this purpose. All machine-aided indexing (MAI) systems rely on thesauri as the basis for term selection. In the 21st century, the balance of effort between human and machine will change at both input and output, but thesauri will continue to play an important role for the foreseeable future
    Date
    22. 9.1997 19:16:05
  2. Lambert, N.: Of thesauri and computers : reflections on the need for thesauri (1995) 0.01
    0.014140441 = product of:
      0.028280882 = sum of:
        0.028280882 = product of:
          0.056561764 = sum of:
            0.056561764 = weight(_text_:22 in 3734) [ClassicSimilarity], result of:
              0.056561764 = score(doc=3734,freq=2.0), product of:
                0.1827397 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.052184064 = queryNorm
                0.30952093 = fieldWeight in 3734, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0625 = fieldNorm(doc=3734)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    Searcher. 3(1995) no.8, S.18-22
  3. Mu, X.; Lu, K.; Ryu, H.: Explicitly integrating MeSH thesaurus help into health information retrieval systems : an empirical user study (2014) 0.01
    0.011789299 = product of:
      0.023578597 = sum of:
        0.023578597 = product of:
          0.047157194 = sum of:
            0.047157194 = weight(_text_:systems in 2703) [ClassicSimilarity], result of:
              0.047157194 = score(doc=2703,freq=6.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.29405114 = fieldWeight in 2703, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2703)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    When consumers search for health information, a major obstacle is their unfamiliarity with the medical terminology. Even though medical thesauri such as the Medical Subject Headings (MeSH) and related tools (e.g., the MeSH Browser) were created to help consumers find medical term definitions, the lack of direct and explicit integration of these help tools into a health retrieval system prevented them from effectively achieving their objectives. To explore this issue, we conducted an empirical study with two systems: One is a simple interface system supporting query-based searching; the other is an augmented system with two new components supporting MeSH term searching and MeSH tree browsing. A total of 45 subjects were recruited to participate in the study. The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question-answer performance, even though we did not find users spend more time on the augmented system. The two new MeSH help components played a critical role in participants' health information retrieval and were found to allow them to develop new search strategies. The findings of the study enhanced our understanding of consumers' search behaviors and shed light on the design of future health information retrieval systems.
  4. Chen, H.; Yim, T.; Fye, D.: Automatic thesaurus generation for an electronic community system (1995) 0.01
    0.0068065543 = product of:
      0.013613109 = sum of:
        0.013613109 = product of:
          0.027226217 = sum of:
            0.027226217 = weight(_text_:systems in 2918) [ClassicSimilarity], result of:
              0.027226217 = score(doc=2918,freq=2.0), product of:
                0.16037072 = queryWeight, product of:
                  3.0731742 = idf(docFreq=5561, maxDocs=44218)
                  0.052184064 = queryNorm
                0.1697705 = fieldWeight in 2918, 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=2918)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    Reports an algorithmic approach to the automatic generation of thesauri for electronic community systems. The techniques used included terms filtering, automatic indexing, and cluster analysis. The testbed for the research was the Worm Community System, which contains a comprehensive library of specialized community data and literature, currently in use by molecular biologists who study the nematode worm. The resulting worm thesaurus included 2709 researchers' names, 798 gene names, 20 experimental methods, and 4302 subject descriptors. On average, each term had about 90 weighted neighbouring terms indicating relevant concepts. The thesaurus was developed as an online search aide. Tests the worm thesaurus in an experiment with 6 worm researchers of varying degrees of expertise and background. The experiment showed that the thesaurus was an excellent 'memory jogging' device and that it supported learning and serendipitous browsing. Despite some occurrences of obvious noise, the system was useful in suggesting relevant concepts for the researchers' queries and it helped improve concept recall. With a simple browsing interface, an automatic thesaurus can become a useful tool for online search and can assist researchers in exploring and traversing a dynamic and complex electronic community system

Authors