Search (1 results, page 1 of 1)

  • × author_ss:"Fasli, M."
  • × theme_ss:"Computerlinguistik"
  1. Clark, M.; Kim, Y.; Kruschwitz, U.; Song, D.; Albakour, D.; Dignum, S.; Beresi, U.C.; Fasli, M.; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research (2012) 0.01
    0.013004904 = product of:
      0.026009807 = sum of:
        0.026009807 = product of:
          0.052019615 = sum of:
            0.052019615 = weight(_text_:web in 2738) [ClassicSimilarity], result of:
              0.052019615 = score(doc=2738,freq=4.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.3059541 = fieldWeight in 2738, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2738)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.
    Content
    Beitrag in einem Themenheft "Soft Approaches to IA on the Web". Vgl.: doi:10.1016/j.ipm.2011.07.002.