Search (1 results, page 1 of 1)

  • × type_ss:"a"
  • × type_ss:"x"
  • × year_i:[2010 TO 2020}
  1. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.01
    0.013931636 = product of:
      0.041794907 = sum of:
        0.041794907 = product of:
          0.083589815 = sum of:
            0.083589815 = weight(_text_:indexing in 3829) [ClassicSimilarity], result of:
              0.083589815 = score(doc=3829,freq=6.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.4395151 = fieldWeight in 3829, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.046875 = fieldNorm(doc=3829)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    In this thesis, we present an ontology-based information extraction and retrieval system and its application to soccer domain. In general, we deal with three issues in semantic search, namely, usability, scalability and retrieval performance. We propose a keyword-based semantic retrieval approach. The performance of the system is improved considerably using domain-specific information extraction, inference and rules. Scalability is achieved by adapting a semantic indexing approach. The system is implemented using the state-of-the-art technologies in SemanticWeb and its performance is evaluated against traditional systems as well as the query expansion methods. Furthermore, a detailed evaluation is provided to observe the performance gain due to domain-specific information extraction and inference. Finally, we show how we use semantic indexing to solve simple structural ambiguities.