Search (1 results, page 1 of 1)

  • × theme_ss:"Klassifikationstheorie: Elemente / Struktur"
  • × theme_ss:"Semantic Web"
  1. Fripp, D.: Using linked data to classify web documents (2010) 0.00
    0.0018033426 = product of:
      0.010820055 = sum of:
        0.010820055 = weight(_text_:in in 4172) [ClassicSimilarity], result of:
          0.010820055 = score(doc=4172,freq=6.0), product of:
            0.059380736 = queryWeight, product of:
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.043654136 = queryNorm
            0.1822149 = fieldWeight in 4172, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.3602545 = idf(docFreq=30841, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4172)
      0.16666667 = coord(1/6)
    
    Abstract
    Purpose - The purpose of this paper is to find a relationship between traditional faceted classification schemes and semantic web document annotators, particularly in the linked data environment. Design/methodology/approach - A consideration of the conceptual ideas behind faceted classification and linked data architecture is made. Analysis of selected web documents is performed using Calais' Semantic Proxy to support the considerations. Findings - Technical language aside, the principles of both approaches are very similar. Modern classification techniques have the potential to automatically generate metadata to drive more precise information recall by including a semantic layer. Originality/value - Linked data have not been explicitly considered in this context before in the published literature.