Search (5 results, page 1 of 1)

0.017218359 = product of:
  0.08035234 = sum of:
    0.023552012 = weight(_text_:classification in 247) [ClassicSimilarity], result of:
      0.023552012 = score(doc=247,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24630459 = fieldWeight in 247, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=247)
    0.03324832 = product of:
      0.06649664 = sum of:
        0.06649664 = weight(_text_:schemes in 247) [ClassicSimilarity], result of:
          0.06649664 = score(doc=247,freq=2.0), product of:
            0.16067243 = queryWeight, product of:
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.03002521 = queryNorm
            0.41386467 = fieldWeight in 247, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.0546875 = fieldNorm(doc=247)
      0.5 = coord(1/2)
    0.023552012 = weight(_text_:classification in 247) [ClassicSimilarity], result of:
      0.023552012 = score(doc=247,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24630459 = fieldWeight in 247, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=247)
  0.21428572 = coord(3/14)

Abstract

This paper describes work in progress to identify automated methods to complement and streamline the intellectual process in the generation of faceted schemes. It reports on the development of the word pair heuristic, the suffix heuristic, and the WordNet heuristic, and how the three heuristics integrate to produce an initial organization of terms from which a classificationist can more efficiently construct a faceted vocabulary.

0.010362351 = product of:
  0.07253645 = sum of:
    0.060332447 = weight(_text_:bibliographic in 302) [ClassicSimilarity], result of:
      0.060332447 = score(doc=302,freq=8.0), product of:
        0.11688946 = queryWeight, product of:
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.03002521 = queryNorm
        0.5161496 = fieldWeight in 302, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.046875 = fieldNorm(doc=302)
    0.0122040035 = product of:
      0.024408007 = sum of:
        0.024408007 = weight(_text_:22 in 302) [ClassicSimilarity], result of:
          0.024408007 = score(doc=302,freq=2.0), product of:
            0.10514317 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03002521 = queryNorm
            0.23214069 = fieldWeight in 302, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=302)
      0.5 = coord(1/2)
  0.14285715 = coord(2/14)

Abstract

Machine-Readable Cataloging (MARC) is currently the most broadly used bibliographic standard for encoding and exchanging bibliographic data. However, MARC may not fully support representation of the dynamic nature and semantics of digital resources because of its rigid and single-layered linear structure. The Functional Requirements for Bibliographic Records (FRBR) model, which is designed to overcome the problems of MARC, does not provide sufficient data elements and adopts a predetermined hierarchy. A flexible structure for bibliographic data with detailed data elements is needed. Integrating MARC format with the hierarchical structure of FRBR is one approach to meet this need. The purpose of this research is to propose an approach that can facilitate interoperability between MARC and FRBR by providing a conceptual structure that can function as a mediator between MARC data elements and FRBR attributes.

Date

10. 9.2000 17:38:22

0.0036373418 = product of:
  0.05092278 = sum of:
    0.05092278 = weight(_text_:subject in 1166) [ClassicSimilarity], result of:
      0.05092278 = score(doc=1166,freq=2.0), product of:
        0.10738805 = queryWeight, product of:
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.03002521 = queryNorm
        0.4741941 = fieldWeight in 1166, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.576596 = idf(docFreq=3361, maxDocs=44218)
          0.09375 = fieldNorm(doc=1166)
  0.071428575 = coord(1/14)

Abstract

The authors argue that a class of information is missing in the traditional ways of subject analysis: 'deep structure' information consists of the values, beliefs, and unwritten rules in an organization

0.0021547303 = product of:
  0.030166224 = sum of:
    0.030166224 = weight(_text_:bibliographic in 2453) [ClassicSimilarity], result of:
      0.030166224 = score(doc=2453,freq=2.0), product of:
        0.11688946 = queryWeight, product of:
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.03002521 = queryNorm
        0.2580748 = fieldWeight in 2453, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.046875 = fieldNorm(doc=2453)
  0.071428575 = coord(1/14)

Abstract

Author name disambiguation deals with clustering the same-name authors into different individuals. To attack the problem, many studies have employed a variety of disambiguation features such as coauthors, titles of papers/publications, topics of articles, emails/affiliations, etc. Among these, co-authorship is the most easily accessible and influential, since inter-person acquaintances represented by co-authorship could discriminate the identities of authors more clearly than other features. This study attempts to explore the net effects of co-authorship on author clustering in bibliographic data. First, to handle the shortage of explicit coauthors listed in known citations, a web-assisted technique of acquiring implicit coauthors of the target author to be disambiguated is proposed. Then, a coauthor disambiguation hypothesis that the identity of an author can be determined by his/her coauthors is examined and confirmed through a variety of author disambiguation experiments.

0.0017956087 = product of:
  0.02513852 = sum of:
    0.02513852 = weight(_text_:bibliographic in 654) [ClassicSimilarity], result of:
      0.02513852 = score(doc=654,freq=2.0), product of:
        0.11688946 = queryWeight, product of:
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.03002521 = queryNorm
        0.21506234 = fieldWeight in 654, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.893044 = idf(docFreq=2449, maxDocs=44218)
          0.0390625 = fieldNorm(doc=654)
  0.071428575 = coord(1/14)

Abstract

A pidgin metadata framework based on the concept of pidgin metadata is proposed to complement the limitations of existing approaches to metadata interoperability and to achieve more reliable metadata interoperability. The framework consists of three layers, with a hierarchical structure, and reflects the semantic and structural characteristics of various metadata. Layer 1 performs both an external function, serving as an anchor for semantic association between metadata elements, and an internal function, providing semantic categories that can encompass detailed elements. Layer 2 is an arbitrary layer composed of substantial elements from existing metadata and performs a function in which different metadata elements describing the same or similar aspects of information resources are associated with the semantic categories of Layer 1. Layer 3 implements the semantic relationships between Layer 1 and Layer 2 through the Resource Description Framework syntax. With this structure, the pidgin metadata framework can establish the criteria for semantic connection between different elements and fully reflect the complexity and heterogeneity among various metadata. Additionally, it is expected to provide a bibliographic environment that can achieve more reliable metadata interoperability than existing approaches by securing the communication between metadata.