Search (1 results, page 1 of 1)

  • × author_ss:"Fox, K.L."
  • × theme_ss:"Suchoberflächen"
  • × year_i:[1990 TO 2000}
  1. Fox, K.L.; Frieder, O.; Knepper, M.M.; Snowberg, E.J.: SENTINEL: a multiple engine information retrieval and visualization system (1999) 0.05
    0.05226637 = product of:
      0.078399554 = sum of:
        0.03561326 = weight(_text_:based in 3547) [ClassicSimilarity], result of:
          0.03561326 = score(doc=3547,freq=2.0), product of:
            0.15283063 = queryWeight, product of:
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.050723847 = queryNorm
            0.23302436 = fieldWeight in 3547, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.0129938 = idf(docFreq=5906, maxDocs=44218)
              0.0546875 = fieldNorm(doc=3547)
        0.04278629 = product of:
          0.08557258 = sum of:
            0.08557258 = weight(_text_:training in 3547) [ClassicSimilarity], result of:
              0.08557258 = score(doc=3547,freq=2.0), product of:
                0.23690371 = queryWeight, product of:
                  4.67046 = idf(docFreq=1125, maxDocs=44218)
                  0.050723847 = queryNorm
                0.3612125 = fieldWeight in 3547, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  4.67046 = idf(docFreq=1125, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=3547)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    We describe a prototype Information Retrieval system; SENTINEL, under development at Harris Corporation's Information Systems Division. SENTINEL is a fusion of multiple information retrieval technologies, integrating n-grams, a vector space model, and a neural network training rule. One of the primary advantages of SENTINEL is its 3-dimensional visualization capability that is based fully upon the mathematical representation of information with SENTINEL. The 3-dimensional visualization capability provides users with an intuitive understanding, with relevance/query refinement techniques athat can be better utilized, resulting in higher retrieval precision