Search (1 results, page 1 of 1)

Did you mean:
precises%3a%2fdocuments %2f subject classification schemes%3a bliss%2c henry evelyn %2f bliss bibliographic classification %2f texts%22 1
precises%3a%2f_documents %2f subject classification schemes%3a bliss%2c henry evelyn %2f bliss bibliographic classification %2f texts%22 1
precises%3a%2fdocuments %2f subject classification schemes%3a bliss%2c heery evelyn %2f bliss bibliographic classification %2f texts%22 1
precises%3a%2fdocuments %2f subject classification schemes%3a bliss%2c henry evelyn %2f bloss bibliographic classification %2f texts%22 1
precises%3a%2fdocuments %2f subject classification schemes%3a bloss%2c henry evelyn %2f bliss bibliographic classification %2f texts%22 1

Koch, T.; Ardö, A.; Noodén, L.: ¬The construction of a robot-generated subject index : DESIRE II D3.6a, Working Paper 1 (1999) 0.02

0.016367726 = product of:
  0.07638272 = sum of:
    0.036007844 = weight(_text_:subject in 1668) [ClassicSimilarity], result of:
      0.036007844 = score(doc=1668,freq=4.0), product of:
        0.10738805 = queryWeight, product of:
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.03002521 = queryNorm
        0.33530587 = fieldWeight in 1668, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.046875 = fieldNorm(doc=1668)
    0.02018744 = weight(_text_:classification in 1668) [ClassicSimilarity], result of:
      0.02018744 = score(doc=1668,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.21111822 = fieldWeight in 1668, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.046875 = fieldNorm(doc=1668)
    0.02018744 = weight(_text_:classification in 1668) [ClassicSimilarity], result of:
      0.02018744 = score(doc=1668,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.21111822 = fieldWeight in 1668, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.046875 = fieldNorm(doc=1668)
  0.21428572 = coord(3/14)

Abstract: This working paper describes the creation of a test database to carry out the automatic classification tasks of the DESIRE II work package D3.6a on. It is an improved version of NetLab's existing "All" Engineering database created after a comparative study of the outcome of two different approaches to collecting the documents. These two methods were selected from seven different general methodologies to build robot-generated subject indices, presented in this paper. We found a surprisingly low overlap between the Engineering link collections we used as seed pages for the robot and subsequently an even more surprisingly low overlap between the resources collected by the two different approaches. That inspite of using basically the same services to start the harvesting process from. A intellectual evaluation of the contents of both databases showed almost exactly the same percentage of relevant documents (77%), indicating that the main difference between those aproaches was the coverage of the resulting database.