Search (1 results, page 1 of 1)

  • × author_ss:"Castells, P."
  • × theme_ss:"Wissensrepräsentation"
  • × year_i:[2000 TO 2010}
  1. Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005) 0.00
    0.0039481516 = product of:
      0.015792606 = sum of:
        0.015792606 = product of:
          0.063170426 = sum of:
            0.063170426 = weight(_text_:based in 4708) [ClassicSimilarity], result of:
              0.063170426 = score(doc=4708,freq=10.0), product of:
                0.14144066 = queryWeight, product of:
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.04694356 = queryNorm
                0.44662142 = fieldWeight in 4708, product of:
                  3.1622777 = tf(freq=10.0), with freq of:
                    10.0 = termFreq=10.0
                  3.0129938 = idf(docFreq=5906, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4708)
          0.25 = coord(1/4)
      0.25 = coord(1/4)
    
    Abstract
    Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over large document repositories. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with keyword-based search to achieve tolerance to KB incompleteness. Our proposal is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.