Search (2 results, page 1 of 1)

  • × subject_ss:"XML"
  • × classification_ss:"TVV (PB)"
  1. XML topic maps : creating and using topic maps for the Web (2003) 0.00
    3.686742E-4 = product of:
      0.0025807193 = sum of:
        0.0025807193 = product of:
          0.010322877 = sum of:
            0.010322877 = weight(_text_:m in 4727) [ClassicSimilarity], result of:
              0.010322877 = score(doc=4727,freq=4.0), product of:
                0.066373095 = queryWeight, product of:
                  2.4884486 = idf(docFreq=9980, maxDocs=44218)
                  0.026672479 = queryNorm
                0.15552804 = fieldWeight in 4727, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  2.4884486 = idf(docFreq=9980, maxDocs=44218)
                  0.03125 = fieldNorm(doc=4727)
          0.25 = coord(1/4)
      0.14285715 = coord(1/7)
    
    Content
    Inhalt: Let There Be Light / Jack Park - Introduction to the Topic Maps Paradigm / Michel Biezunski - A Perspective on the Quest for Global Knowledge Interchange / Steven R. Newcomb - The Rise and Rise of Topic Maps / Sam Hunting - Topic Maps from Representation to Identity: Conversation, Names, and Published Subject Indicators / Bernard Vatant - How to Start Topic Mapping Right Away with the XTM Specification / Sam Hunting - Knowledge Representation, Ontological Engineering, and Topic Maps / Leo Obrst and Howard Liu - Topic Maps in the Life Sciences / John Park arid Nefer Park - Creating and Maintaining Enterprise Web Sites with Topic Maps and XSLT / Nikita Ogievetsky - SemanText / Eric Freese - XTM Programming with TM4J / Kal Ahmed - Nexist Topic MapTestbed / Jack Park - GooseWorks Toolkit / Sam Hunting - Topic Map Visualization / Benedicte Le Grand - Topic Maps and RDF / Eric Freese - Topic Maps and Semantic Networks / Eric Freese - Topic Map Fundamentals for Knowledge Representation / H. Holger Rath - Topic Maps in Knowledge Organization / Alexander Sigel - Prediction: A Profound Paradigm Shift / Kathleen M. Fisher - Topic Maps, the Semantic Web, and Education / Jack Park
    Type
    m
  2. Learning XML : [creating self describing data] (2001) 0.00
    2.6069203E-4 = product of:
      0.001824844 = sum of:
        0.001824844 = product of:
          0.007299376 = sum of:
            0.007299376 = weight(_text_:m in 1744) [ClassicSimilarity], result of:
              0.007299376 = score(doc=1744,freq=2.0), product of:
                0.066373095 = queryWeight, product of:
                  2.4884486 = idf(docFreq=9980, maxDocs=44218)
                  0.026672479 = queryNorm
                0.10997493 = fieldWeight in 1744, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  2.4884486 = idf(docFreq=9980, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1744)
          0.25 = coord(1/4)
      0.14285715 = coord(1/7)
    
    Type
    m