Search (4 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Semantisches Umfeld in Indexierung u. Retrieval"
  • × theme_ss:"Visualisierung"
  • × type_ss:"a"
  1. Ahn, J.-w.; Brusilovsky, P.: Adaptive visualization for exploratory information retrieval (2013) 0.00 
    4.523282E-4 = product of:
  0.010403548 = sum of:
    0.010403548 = weight(_text_:im in 2717) [ClassicSimilarity], result of:
      0.010403548 = score(doc=2717,freq=2.0), product of:
        0.066621356 = queryWeight, product of:
          2.8267863 = idf(docFreq=7115, maxDocs=44218)
          0.023567878 = queryNorm
        0.15615936 = fieldWeight in 2717, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.8267863 = idf(docFreq=7115, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2717)
  0.04347826 = coord(1/23)
    Footnote
    Beitrag im Rahmen einer Special section on Human-computer Information Retrieval.
  2. Hemmje, M.; Kunkel, C.; Willett, A.: LyberWorld - a visualization user interface supporting fulltext retrieval (1994) 0.00 
    3.779547E-4 = product of:
  0.008692958 = sum of:
    0.008692958 = product of:
      0.017385917 = sum of:
        0.017385917 = weight(_text_:international in 2384) [ClassicSimilarity], result of:
          0.017385917 = score(doc=2384,freq=2.0), product of:
            0.078619614 = queryWeight, product of:
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.023567878 = queryNorm
            0.22113968 = fieldWeight in 2384, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.33588 = idf(docFreq=4276, maxDocs=44218)
              0.046875 = fieldNorm(doc=2384)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Source
    Proceeding SIGIR '94: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
  3. Fowler, R.H.; Wilson, B.A.; Fowler, W.A.L.: Information navigator : an information system using associative networks for display and retrieval (1992) 0.00 
    2.0495258E-4 = product of:
  0.0047139092 = sum of:
    0.0047139092 = product of:
      0.0094278185 = sum of:
        0.0094278185 = weight(_text_:1 in 919) [ClassicSimilarity], result of:
          0.0094278185 = score(doc=919,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.16284466 = fieldWeight in 919, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.046875 = fieldNorm(doc=919)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Series
    Report NAG9-551, No. 92-1
  4. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.00 
    1.707938E-4 = product of:
  0.0039282576 = sum of:
    0.0039282576 = product of:
      0.007856515 = sum of:
        0.007856515 = weight(_text_:1 in 3366) [ClassicSimilarity], result of:
          0.007856515 = score(doc=3366,freq=2.0), product of:
            0.057894554 = queryWeight, product of:
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.023567878 = queryNorm
            0.13570388 = fieldWeight in 3366, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              2.4565027 = idf(docFreq=10304, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3366)
      0.5 = coord(1/2)
  0.04347826 = coord(1/23)
    Abstract
    Documents in rich text corpora usually contain multiple facets of information. For example, an article about a specific disease often consists of different facets such as symptom, treatment, cause, diagnosis, prognosis, and prevention. Thus, documents may have different relations based on different facets. Powerful search tools have been developed to help users locate lists of individual documents that are most related to specific keywords. However, there is a lack of effective analysis tools that reveal the multifaceted relations of documents within or cross the document clusters. In this paper, we present FacetAtlas, a multifaceted visualization technique for visually analyzing rich text corpora. FacetAtlas combines search technology with advanced visual analytical tools to convey both global and local patterns simultaneously. We describe several unique aspects of FacetAtlas, including (1) node cliques and multifaceted edges, (2) an optimized density map, and (3) automated opacity pattern enhancement for highlighting visual patterns, (4) interactive context switch between facets. In addition, we demonstrate the power of FacetAtlas through a case study that targets patient education in the health care domain. Our evaluation shows the benefits of this work, especially in support of complex multifaceted data analysis.

Authors

Years