Search (1 results, page 1 of 1)

  • × author_ss:"Kara, S."
  • × type_ss:"x"
  1. Kara, S.: ¬An ontology-based retrieval system using semantic indexing (2012) 0.01
    0.005149705 = product of:
      0.02059882 = sum of:
        0.02059882 = weight(_text_:information in 3829) [ClassicSimilarity], result of:
          0.02059882 = score(doc=3829,freq=8.0), product of:
            0.08850355 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.050415643 = queryNorm
            0.23274569 = fieldWeight in 3829, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=3829)
      0.25 = coord(1/4)
    
    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.
    Source
    Information Systems. 37(2012) no. 4, S.294-305