Search (1 results, page 1 of 1)

  • × author_ss:"Baliková, M."
  • × theme_ss:"Multilinguale Probleme"
  1. Baliková, M.: Looking for the best way of subject access (2008) 0.00
    0.0033174944 = product of:
      0.016587472 = sum of:
        0.016587472 = weight(_text_:of in 2187) [ClassicSimilarity], result of:
          0.016587472 = score(doc=2187,freq=12.0), product of:
            0.06532493 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.04177434 = queryNorm
            0.25392252 = fieldWeight in 2187, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.046875 = fieldNorm(doc=2187)
      0.2 = coord(1/5)
    
    Abstract
    M-CAST which stands for »Multilingual Content Aggregation System based on TRUST Search Engine« is a multilingual indexing and retrieval system based on semantic technology; it allows asking a question in one language and finding an exact answer in digitalized resources in different languages. It can serve as a monolingual query-answering system as well. Presently, we have a prototype of the M-CAST system; it was developed to evaluate both retrieval effectiveness and correctness of the interpretation process and has been tested in real-world situations. Further research will be done to increase the capabilities of the system. The M-CAST question-answering could be applied in both digital and hybrid libraries, because it enables to pose questions using either a set of search terms or natural-language questions. In addition, it enables to narrow a search in advanced search module using UDC (Universal Decimal Classification) system, which is widely used in libraries.
    Source
    New pespectives on subject indexing and classification: essays in honour of Magda Heiner-Freiling. Red.: K. Knull-Schlomann, u.a