Search (2 results, page 1 of 1)

  • × type_ss:"el"
  • × theme_ss:"Klassifikationssysteme"
  1. Electronic Dewey (1993) 0.05 
    0.053949714 = product of:
  0.08092457 = sum of:
    0.053679425 = weight(_text_:search in 1088) [ClassicSimilarity], result of:
      0.053679425 = score(doc=1088,freq=2.0), product of:
        0.1747324 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.05027291 = queryNorm
        0.30720934 = fieldWeight in 1088, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0625 = fieldNorm(doc=1088)
    0.027245143 = product of:
      0.054490287 = sum of:
        0.054490287 = weight(_text_:22 in 1088) [ClassicSimilarity], result of:
          0.054490287 = score(doc=1088,freq=2.0), product of:
            0.17604718 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.05027291 = queryNorm
            0.30952093 = fieldWeight in 1088, 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=1088)
      0.5 = coord(1/2)
  0.6666667 = coord(2/3)
    Abstract
    The CD-ROM version of the 20th DDC ed., featuring advanced online search and windowing techniques, full-text indexing, personal notepad, LC subject headings linked to DDC numbers and a database of all DDC changes
    Footnote
    Rez. in: Cataloging and classification quarterly 19(1994) no.1, S.134-137 (M. Carpenter). - Inzwischen existiert auch eine Windows-Version: 'Electronic Dewey for Windows', vgl. Knowledge organization 22(1995) no.1, S.17
  2. ¬The Computer Science Ontology (CSO) (2018) 0.01 
    0.011183213 = product of:
  0.03354964 = sum of:
    0.03354964 = weight(_text_:search in 4429) [ClassicSimilarity], result of:
      0.03354964 = score(doc=4429,freq=2.0), product of:
        0.1747324 = queryWeight, product of:
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.05027291 = queryNorm
        0.19200584 = fieldWeight in 4429, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.475677 = idf(docFreq=3718, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4429)
  0.33333334 = coord(1/3)
    Abstract
    The Computer Science Ontology (CSO) is a large-scale ontology of research areas that was automatically generated using the Klink-2 algorithm on the Rexplore dataset, which consists of about 16 million publications, mainly in the field of Computer Science. The Klink-2 algorithm combines semantic technologies, machine learning, and knowledge from external sources to automatically generate a fully populated ontology of research areas. Some relationships were also revised manually by experts during the preparation of two ontology-assisted surveys in the field of Semantic Web and Software Architecture. The main root of CSO is Computer Science, however, the ontology includes also a few secondary roots, such as Linguistics, Geometry, Semantics, and so on. CSO presents two main advantages over manually crafted categorisations used in Computer Science (e.g., 2012 ACM Classification, Microsoft Academic Search Classification). First, it can characterise higher-level research areas by means of hundreds of sub-topics and related terms, which enables to map very specific terms to higher-level research areas. Secondly, it can be easily updated by running Klink-2 on a set of new publications. A more comprehensive discussion of the advantages of adopting an automatically generated ontology in the scholarly domain can be found in.

Years