Search (1 results, page 1 of 1)

  • × author_ss:"Allen, V.S."
  • × theme_ss:"Suchmaschinen"
  1. Warnick, W.L.; Leberman, A.; Scott, R.L.; Spence, K.J.; Johnsom, L.A.; Allen, V.S.: Searching the deep Web : directed query engine applications at the Department of Energy (2001) 0.00
    0.0035694437 = product of:
      0.014277775 = sum of:
        0.014277775 = weight(_text_:information in 1215) [ClassicSimilarity], result of:
          0.014277775 = score(doc=1215,freq=8.0), product of:
            0.06134496 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.034944877 = queryNorm
            0.23274569 = fieldWeight in 1215, 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=1215)
      0.25 = coord(1/4)
    
    Abstract
    Directed Query Engines, an emerging class of search engine specifically designed to access distributed resources on the deep web, offer the opportunity to create inexpensive digital libraries. Already, one such engine, Distributed Explorer, has been used to select and assemble high quality information resources and incorporate them into publicly available systems for the physical sciences. By nesting Directed Query Engines so that one query launches several other engines in a cascading fashion, enormous virtual collections may soon be assembled to form a comprehensive information infrastructure for the physical sciences. Once a Directed Query Engine has been configured for a set of information resources, distributed alerts tools can provide patrons with personalized, profile-based notices of recent additions to any of the selected resources. Due to the potentially enormous size and scope of Directed Query Engine applications, consideration must be given to issues surrounding the representation of large quantities of information from multiple, heterogeneous sources.