Search (1 results, page 1 of 1)

  • × author_ss:"Callan, J.P."
  • × language_ss:"e"
  • × theme_ss:"Verteilte bibliographische Datenbanken"
  1. Avrahami, T.T.; Yau, L.; Si, L.; Callan, J.P.: ¬The FedLemur project : Federated search in the real world (2006) 0.05
    0.04945602 = product of:
      0.09891204 = sum of:
        0.09891204 = sum of:
          0.056415144 = weight(_text_:research in 5271) [ClassicSimilarity], result of:
            0.056415144 = score(doc=5271,freq=8.0), product of:
              0.1491455 = queryWeight, product of:
                2.8529835 = idf(docFreq=6931, maxDocs=44218)
                0.05227703 = queryNorm
              0.37825575 = fieldWeight in 5271, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                2.8529835 = idf(docFreq=6931, maxDocs=44218)
                0.046875 = fieldNorm(doc=5271)
          0.042496894 = weight(_text_:22 in 5271) [ClassicSimilarity], result of:
            0.042496894 = score(doc=5271,freq=2.0), product of:
              0.18306525 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.05227703 = queryNorm
              0.23214069 = fieldWeight in 5271, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=5271)
      0.5 = coord(1/2)
    
    Abstract
    Federated search and distributed information retrieval systems provide a single user interface for searching multiple full-text search engines. They have been an active area of research for more than a decade, but in spite of their success as a research topic, they are still rare in operational environments. This article discusses a prototype federated search system developed for the U.S. government's FedStats Web portal, and the issues addressed in adapting research solutions to this operational environment. A series of experiments explore how well prior research results, parameter settings, and heuristics apply in the FedStats environment. The article concludes with a set of lessons learned from this technology transfer effort, including observations about search engine quality in the real world.
    Date
    22. 7.2006 16:02:07