Search (5 results, page 1 of 1)

0.018442601 = product of:
  0.092213005 = sum of:
    0.092213005 = weight(_text_:index in 1084) [ClassicSimilarity], result of:
      0.092213005 = score(doc=1084,freq=4.0), product of:
        0.2250935 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.051511593 = queryNorm
        0.40966535 = fieldWeight in 1084, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.046875 = fieldNorm(doc=1084)
  0.2 = coord(1/5)

Abstract

An important stage in the process of retrieval of objects from a hypertext database is the creation of a set of internodal links that are intended to represent the relationships existing between objetcs; an operation that is usually undertaken manually such as the allocation of subject index terms to documents. Reports results of a study in which several different sets of hypertext links were inserted, each by a different person, between the paragraphs of each of a number of full text documents. The similarity between the members of each pair of link sets was then evaluated. Results indicated that little similarity existed among the link sets, a finding comparable with those of studies of inter indexer consistency, which suggests that there is generally only a low level of agreemenet between the sets of index terms assigned to a document by indexers. Concludes with that part of the study designed to test the validity of making these kinds of assumptions in the context of hypertext link sets

0.015368836 = product of:
  0.07684418 = sum of:
    0.07684418 = weight(_text_:index in 4214) [ClassicSimilarity], result of:
      0.07684418 = score(doc=4214,freq=4.0), product of:
        0.2250935 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.051511593 = queryNorm
        0.3413878 = fieldWeight in 4214, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4214)
  0.2 = coord(1/5)

Abstract

An important stage in the process or retrieval of objects from a hypertext database is the creation of a set of internodal links that are intended to represent the relationships existing between objects; this operation is often undertaken manually, just as index terms are often manually assigned to documents in a conventional retrieval system. In an earlier article (1994), the results were published of a study in which several different sets of links were inserted, each by a different person, between the paragraphs of each of a number of full-text documents. These results showed little similarity between the link-sets, a finding that was comparable with those of studies of inter-indexer consistency, which suggest that there is generally only a low level of agreement between the sets of index terms assigned to a document by different indexers. In this article, a description is provided of an investigation into the nature of the relationship existing between (i) the levels of inter-linker consistency obtaining among the group of hypertext databases used in our earlier experiments, and (ii) the levels of effectiveness of a number of searches carried out in those databases. An account is given of the implementation of the searches and of the methods used in the calculation of numerical values expressing their effectiveness. Analysis of the results of a comparison between recorded levels of consistency and those of effectiveness does not allow us to draw conclusions about the consistency - effectiveness relationship that are equivalent to those drawn in comparable studies of inter-indexer consistency

0.013040888 = product of:
  0.06520444 = sum of:
    0.06520444 = weight(_text_:index in 6716) [ClassicSimilarity], result of:
      0.06520444 = score(doc=6716,freq=2.0), product of:
        0.2250935 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.051511593 = queryNorm
        0.28967714 = fieldWeight in 6716, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.046875 = fieldNorm(doc=6716)
  0.2 = coord(1/5)

Abstract

Describes the use of a variety of similarity coefficients in the measurement of the degree of similarity between objects that contain textual information, such as documents, paragraphs, index terms or queries. The work is intended as a preliminary to future investigation of the calculations involved in measuring the degree of similarity between structured objects that may be represented by graph theoretic forms. Descusses the role of similarity coefficients in text retrieval in terms of: document and query similarity; document and document similarity; cocitation analysis; term and term similarity; and the similarity between sets of judgements, such as relevance judgements. Describes several methods for expressing the formulae used to define similarity coefficients and compares their attributes. Concludes with details the characteristics of similarity coefficients; equivalence and monotonicity; consideration of negative matches; geometric analyses; and the meaning of correlation coefficients

0.011166576 = product of:
  0.05583288 = sum of:
    0.05583288 = weight(_text_:22 in 789) [ClassicSimilarity], result of:
      0.05583288 = score(doc=789,freq=2.0), product of:
        0.18038483 = queryWeight, product of:
          3.5018296 = idf(docFreq=3622, maxDocs=44218)
          0.051511593 = queryNorm
        0.30952093 = fieldWeight in 789, 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=789)
  0.2 = coord(1/5)

Date

26. 7.2002 20:22:46

0.010867408 = product of:
  0.054337036 = sum of:
    0.054337036 = weight(_text_:index in 7493) [ClassicSimilarity], result of:
      0.054337036 = score(doc=7493,freq=2.0), product of:
        0.2250935 = queryWeight, product of:
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.051511593 = queryNorm
        0.24139762 = fieldWeight in 7493, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.369764 = idf(docFreq=1520, maxDocs=44218)
          0.0390625 = fieldNorm(doc=7493)
  0.2 = coord(1/5)

Abstract

In important stage in the process of retrieval of objects from a hypertext database is the creation of a set of inter-nodal links that are intended to represent the relationships existing between objects; this operation is often undertaken manually, just as index terms are often manually assigned to documents in a conventional retrieval system. Studies of conventional systems have suggested that a degree of consistency in the terms assigned to documents by indexers is positively associated with retrieval effectiveness. It is thus of interest to investigate the consistency of assignment of links in separate hypertext versions of the same full-text document, since a measure of agreement may be related to the subsequent utility of the resulting hypertext databases. The calculation of values indicating the degree of similarity between objects is a technique that has been widely used in the fields of textual and chemical information retrieval; in this paper we describe the application of arithmetic coefficients and topological indices to the measurement of the degree of similarity between the sets of inter-nodal links in hypertext databases. We publish the results of a study in which several different of links are inserted, by different people, between the paragraphs of each of a number of full-text documents. Our results show little similary between the sets of links identified by different people; this finding is comparable with those of studies of inter-indexer consistency, where it has been found that there is generally only a low level of agreement between the sets of idenx terms assigned to a document by different indexers