Search (1 results, page 1 of 1)

  • × author_ss:"Kostial, I."
  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"el"
  1. Paralic, J.; Kostial, I.: Ontology-based information retrieval (2003) 0.00
    3.255793E-4 = product of:
      0.0048836893 = sum of:
        0.0048836893 = product of:
          0.009767379 = sum of:
            0.009767379 = weight(_text_:information in 1153) [ClassicSimilarity], result of:
              0.009767379 = score(doc=1153,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.1920054 = fieldWeight in 1153, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=1153)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    In the proposed article a new, ontology-based approach to information retrieval (IR) is presented. The system is based on a domain knowledge representation schema in form of ontology. New resources registered within the system are linked to concepts from this ontology. In such a way resources may be retrieved based on the associations and not only based on partial or exact term matching as the use of vector model presumes In order to evaluate the quality of this retrieval mechanism, experiments to measure retrieval efficiency have been performed with well-known Cystic Fibrosis collection of medical scientific papers. The ontology-based retrieval mechanism has been compared with traditional full text search based on vector IR model as well as with the Latent Semantic Indexing method.