Search (3 results, page 1 of 1)

  • × author_ss:"Feng, L."
  1. Feng, L.; Jeusfeld, M.A.; Hoppenbrouwers, J.: Beyond information searching and browsing : acquiring knowledge from digital libraries (2005) 0.02
    0.022609001 = product of:
      0.0339135 = sum of:
        0.017648099 = weight(_text_:information in 1000) [ClassicSimilarity], result of:
          0.017648099 = score(doc=1000,freq=8.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.19395474 = fieldWeight in 1000, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1000)
        0.016265402 = product of:
          0.032530803 = sum of:
            0.032530803 = weight(_text_:management in 1000) [ClassicSimilarity], result of:
              0.032530803 = score(doc=1000,freq=2.0), product of:
                0.17470726 = queryWeight, product of:
                  3.3706124 = idf(docFreq=4130, maxDocs=44218)
                  0.0518325 = queryNorm
                0.18620178 = fieldWeight in 1000, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.3706124 = idf(docFreq=4130, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1000)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Digital libraries (DLs) are a resource for answering complex questions. Up to now, such systems mainly support keyword-based searching and browsing. The mapping from a research question to keywords and the assessment whether an article is relevant for a research question is completely with the user. In this paper, we present a two-layered digital library model. The aim is to enhance current DLs to support different levels of human cognitive acts, thus enabling new kinds of knowledge exchange among library users. The low layer of the model, namely, the tactical cognition support layer, provides users with requested relevant documents, as searching and browsing do. The upper layer of the model, namely, the strategic cognition support layer, not only provides users with relevant documents but also directly and intelligently answers users' cognitive questions. On the basis of the proposed model, we divide the DL information space into two subspaces, i.e., a knowledge subspace and a document subspace, where documents in the document subspace serves as the justification for the corresponding knowledge in the knowledge subspace. Detailed description of the knowledge subspace and its construction, as well as query facilities against the enhanced DLs for users' knowledge sharing and exchange, are particularly discussed.
    Source
    Information processing and management. 41(2005) no.1, S.97-120
    Theme
    Information Gateway
  2. Bartolo, L.M.; Lowe, C.S.; Melton, A.C.; Strahl, M.; Feng, L.; Woolverton, C.J.: Effectiveness of tagging laboratory data using Dublin Core in an electronic scientific notebook (2002) 0.00
    0.0049916366 = product of:
      0.014974909 = sum of:
        0.014974909 = weight(_text_:information in 3598) [ClassicSimilarity], result of:
          0.014974909 = score(doc=3598,freq=4.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.16457605 = fieldWeight in 3598, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=3598)
      0.33333334 = coord(1/3)
    
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  3. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 0.00
    0.0041178903 = product of:
      0.01235367 = sum of:
        0.01235367 = weight(_text_:information in 2338) [ClassicSimilarity], result of:
          0.01235367 = score(doc=2338,freq=2.0), product of:
            0.09099081 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0518325 = queryNorm
            0.13576832 = fieldWeight in 2338, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2338)
      0.33333334 = coord(1/3)
    
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2566-2579