Search (2 results, page 1 of 1)

  • × author_ss:"Jia, J."
  1. Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021) 0.02 
    0.018982807 = product of:
  0.037965614 = sum of:
    0.037965614 = sum of:
      0.006765375 = weight(_text_:a in 106) [ClassicSimilarity], result of:
        0.006765375 = score(doc=106,freq=8.0), product of:
          0.053105544 = queryWeight, product of:
            1.153047 = idf(docFreq=37942, maxDocs=44218)
            0.046056706 = queryNorm
          0.12739488 = fieldWeight in 106, product of:
            2.828427 = tf(freq=8.0), with freq of:
              8.0 = termFreq=8.0
            1.153047 = idf(docFreq=37942, maxDocs=44218)
            0.0390625 = fieldNorm(doc=106)
      0.03120024 = weight(_text_:22 in 106) [ClassicSimilarity], result of:
        0.03120024 = score(doc=106,freq=2.0), product of:
          0.16128273 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.046056706 = queryNorm
          0.19345059 = fieldWeight in 106, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=106)
  0.5 = coord(1/2)
    Abstract
    Purpose The purpose of this paper is to identify the concepts, component parts and relationships between vocabularies, linked data and knowledge graphs (KGs) from the perspectives of data and knowledge transitions. Design/methodology/approach This paper uses conceptual analysis methods. This study focuses on distinguishing concepts and analyzing composition and intercorrelations to explore data and knowledge transitions. Findings Vocabularies are the cornerstone for accurately building understanding of the meaning of data. Vocabularies provide for a data-sharing model and play an important role in supporting the semantic expression of linked data and defining the schema layer; they are also used for entity recognition, alignment and linkage for KGs. KGs, which consist of a schema layer and a data layer, are presented as cubes that organically combine vocabularies, linked data and big data. Originality/value This paper first describes the composition of vocabularies, linked data and KGs. More importantly, this paper innovatively analyzes and summarizes the interrelatedness of these factors, which comes from frequent interactions between data and knowledge. The three factors empower each other and can ultimately empower the Semantic Web.
    Date
    22. 1.2021 14:24:32
    Type
    a
  2. Jia, J.; Zhao, J.: Mapping analysis of pre-coordinated classes in DDC and CLC (2015) 0.00 
    0.0014351527 = product of:
  0.0028703054 = sum of:
    0.0028703054 = product of:
      0.005740611 = sum of:
        0.005740611 = weight(_text_:a in 2373) [ClassicSimilarity], result of:
          0.005740611 = score(doc=2373,freq=4.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.10809815 = fieldWeight in 2373, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2373)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Abstract
    The purpose of this paper is to examine how complexities of pre-coordinated classes can influence mapping quality. Though various kinds of mappings among vocabularies have been achieved and applied, there is little research directly pointing out the problems that hinder the mapping quality. This paper focuses on the relationship between the grammatical forms of pre-coordinated classes and semantic mapping quality, in order to provide useful assistance to the setting and mapping of complex concepts in knowledge organization systems. A review of the literature on vocabulary interoperability and an empirical study of pre-coordinated classes in Dewey Decimal Classification (DDC) and Chinese Library Classification (CLC) are presented. As research objects, the authors have selected two main classes, mathematics and astronomy, in both DDC and CLC. Distributions in the selected classes are described based on the definition and division of pre-coordinated classes. We conclude that the high proportion of pre-coordinated classes in both DDC and CLC greatly increase the difficulty of achieving mapping quality.
    Type
    a

Years

Themes