Document (#8491)

Author
Meghabghab, G.V.
Meghabghab, D.B.
Title
INN: an intelligent negotiating neural network for information systems : a design model
Source
Information processing and management. 30(1994) no.5, S.663-685
Year
1994
Abstract
Research on the use of online catalogues reveals that information retrieval by subject is the most common form, but the least successful. Most problems are attributed to users' search terms, which are either to broad or too specific. Presents an Intelligent Negotiating Neural Network (INN) design model for solving this aspect of online catalogues. The network is designed to act as as electronic information specialist capable of learning to negotiate a user's query and translate it into a true, well formulate statement prior to accessing an online catalogue. The network's architecture includes 4 dimensions: conceptual graphs for queries, inheritance and recognition, knowledge base, and modules. This architecture corresponds to four elements of the traditional query negotiation interview performed by information specialists. These are: query/concept; types of sources/answer-providing tools; types of literature; and time frame. 3 different sessions of the user interface are presented: negotiation of a broadly stae query; negotiation of a norrowly stae query; and negotiation of a query for which concepts are nonexistent in the knowledge base
Theme
OPAC
Informationsdienstleistungen

Similar documents (content)

  1. Cheung, W.; Hsu, C.: ¬The model-assisted global query system for multiple databases in distributed enterprises (1996) 0.13
    0.13473196 = sum of:
      0.13473196 = product of:
        0.48118556 = sum of:
          0.021200098 = weight(abstract_txt:design in 7279) [ClassicSimilarity], result of:
            0.021200098 = score(doc=7279,freq=1.0), product of:
              0.069211185 = queryWeight, product of:
                1.1025916 = boost
                3.9207718 = idf(docFreq=2382, maxDocs=44218)
                0.016009951 = queryNorm
              0.3063103 = fieldWeight in 7279, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.9207718 = idf(docFreq=2382, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.03150841 = weight(abstract_txt:model in 7279) [ClassicSimilarity], result of:
            0.03150841 = score(doc=7279,freq=2.0), product of:
              0.07154161 = queryWeight, product of:
                1.1210008 = boost
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.016009951 = queryNorm
              0.44042078 = fieldWeight in 7279, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.014116391 = weight(abstract_txt:information in 7279) [ClassicSimilarity], result of:
            0.014116391 = score(doc=7279,freq=2.0), product of:
              0.052775636 = queryWeight, product of:
                1.3616275 = boost
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.016009951 = queryNorm
              0.2674793 = fieldWeight in 7279, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.03676723 = weight(abstract_txt:online in 7279) [ClassicSimilarity], result of:
            0.03676723 = score(doc=7279,freq=2.0), product of:
              0.09077064 = queryWeight, product of:
                1.5464821 = boost
                3.6661522 = idf(docFreq=3073, maxDocs=44218)
                0.016009951 = queryNorm
              0.40505642 = fieldWeight in 7279, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.6661522 = idf(docFreq=3073, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.06481601 = weight(abstract_txt:architecture in 7279) [ClassicSimilarity], result of:
            0.06481601 = score(doc=7279,freq=1.0), product of:
              0.14579386 = queryWeight, product of:
                1.6002808 = boost
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.016009951 = queryNorm
              0.444573 = fieldWeight in 7279, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.08605866 = weight(abstract_txt:intelligent in 7279) [ClassicSimilarity], result of:
            0.08605866 = score(doc=7279,freq=1.0), product of:
              0.17612219 = queryWeight, product of:
                1.7588695 = boost
                6.2544694 = idf(docFreq=230, maxDocs=44218)
                0.016009951 = queryNorm
              0.4886304 = fieldWeight in 7279, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.2544694 = idf(docFreq=230, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
          0.22671875 = weight(abstract_txt:query in 7279) [ClassicSimilarity], result of:
            0.22671875 = score(doc=7279,freq=4.0), product of:
              0.30523178 = queryWeight, product of:
                4.010533 = boost
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.016009951 = queryNorm
              0.74277574 = fieldWeight in 7279, product of:
                2.0 = tf(freq=4.0), with freq of:
                  4.0 = termFreq=4.0
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.078125 = fieldNorm(doc=7279)
        0.28 = coord(7/25)
    
  2. Deffner, R.; Geiger, H.: Associative word recognition with connectionist architectures (1990) 0.13
    0.1319515 = sum of:
      0.1319515 = product of:
        0.65975744 = sum of:
          0.01996359 = weight(abstract_txt:information in 4854) [ClassicSimilarity], result of:
            0.01996359 = score(doc=4854,freq=1.0), product of:
              0.052775636 = queryWeight, product of:
                1.3616275 = boost
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.016009951 = queryNorm
              0.37827286 = fieldWeight in 4854, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.15625 = fieldNorm(doc=4854)
          0.12963203 = weight(abstract_txt:architecture in 4854) [ClassicSimilarity], result of:
            0.12963203 = score(doc=4854,freq=1.0), product of:
              0.14579386 = queryWeight, product of:
                1.6002808 = boost
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.016009951 = queryNorm
              0.889146 = fieldWeight in 4854, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.15625 = fieldNorm(doc=4854)
          0.17211732 = weight(abstract_txt:intelligent in 4854) [ClassicSimilarity], result of:
            0.17211732 = score(doc=4854,freq=1.0), product of:
              0.17612219 = queryWeight, product of:
                1.7588695 = boost
                6.2544694 = idf(docFreq=230, maxDocs=44218)
                0.016009951 = queryNorm
              0.9772608 = fieldWeight in 4854, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.2544694 = idf(docFreq=230, maxDocs=44218)
                0.15625 = fieldNorm(doc=4854)
          0.23374307 = weight(abstract_txt:neural in 4854) [ClassicSimilarity], result of:
            0.23374307 = score(doc=4854,freq=1.0), product of:
              0.21598497 = queryWeight, product of:
                1.947773 = boost
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.016009951 = queryNorm
              1.0822191 = fieldWeight in 4854, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.15625 = fieldNorm(doc=4854)
          0.1043014 = weight(abstract_txt:network in 4854) [ClassicSimilarity], result of:
            0.1043014 = score(doc=4854,freq=1.0), product of:
              0.14437374 = queryWeight, product of:
                1.950367 = boost
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.016009951 = queryNorm
              0.72244024 = fieldWeight in 4854, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.15625 = fieldNorm(doc=4854)
        0.2 = coord(5/25)
    
  3. Cortez, E.M.; Park, S.C.; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network (1995) 0.13
    0.12808001 = sum of:
      0.12808001 = product of:
        0.53366673 = sum of:
          0.021574087 = weight(abstract_txt:most in 3038) [ClassicSimilarity], result of:
            0.021574087 = score(doc=3038,freq=1.0), product of:
              0.07002278 = queryWeight, product of:
                1.1090375 = boost
                3.943693 = idf(docFreq=2328, maxDocs=44218)
                0.016009951 = queryNorm
              0.308101 = fieldWeight in 3038, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.943693 = idf(docFreq=2328, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
          0.02227981 = weight(abstract_txt:model in 3038) [ClassicSimilarity], result of:
            0.02227981 = score(doc=3038,freq=1.0), product of:
              0.07154161 = queryWeight, product of:
                1.1210008 = boost
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.016009951 = queryNorm
              0.31142452 = fieldWeight in 3038, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
          0.017288977 = weight(abstract_txt:information in 3038) [ClassicSimilarity], result of:
            0.017288977 = score(doc=3038,freq=3.0), product of:
              0.052775636 = queryWeight, product of:
                1.3616275 = boost
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.016009951 = queryNorm
              0.32759392 = fieldWeight in 3038, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
          0.20242745 = weight(abstract_txt:neural in 3038) [ClassicSimilarity], result of:
            0.20242745 = score(doc=3038,freq=3.0), product of:
              0.21598497 = queryWeight, product of:
                1.947773 = boost
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.016009951 = queryNorm
              0.93722934 = fieldWeight in 3038, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
          0.073752224 = weight(abstract_txt:network in 3038) [ClassicSimilarity], result of:
            0.073752224 = score(doc=3038,freq=2.0), product of:
              0.14437374 = queryWeight, product of:
                1.950367 = boost
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.016009951 = queryNorm
              0.5108424 = fieldWeight in 3038, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
          0.1963442 = weight(abstract_txt:query in 3038) [ClassicSimilarity], result of:
            0.1963442 = score(doc=3038,freq=3.0), product of:
              0.30523178 = queryWeight, product of:
                4.010533 = boost
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.016009951 = queryNorm
              0.6432626 = fieldWeight in 3038, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.078125 = fieldNorm(doc=3038)
        0.24 = coord(6/25)
    
  4. Cortex, E.M.; Park, S.C.; Kim, S.: ¬The hybrid application of an inductive learning method and a neural network for intelligent information retrieval (1995) 0.13
    0.12808001 = sum of:
      0.12808001 = product of:
        0.53366673 = sum of:
          0.021574087 = weight(abstract_txt:most in 4081) [ClassicSimilarity], result of:
            0.021574087 = score(doc=4081,freq=1.0), product of:
              0.07002278 = queryWeight, product of:
                1.1090375 = boost
                3.943693 = idf(docFreq=2328, maxDocs=44218)
                0.016009951 = queryNorm
              0.308101 = fieldWeight in 4081, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.943693 = idf(docFreq=2328, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
          0.02227981 = weight(abstract_txt:model in 4081) [ClassicSimilarity], result of:
            0.02227981 = score(doc=4081,freq=1.0), product of:
              0.07154161 = queryWeight, product of:
                1.1210008 = boost
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.016009951 = queryNorm
              0.31142452 = fieldWeight in 4081, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
          0.017288977 = weight(abstract_txt:information in 4081) [ClassicSimilarity], result of:
            0.017288977 = score(doc=4081,freq=3.0), product of:
              0.052775636 = queryWeight, product of:
                1.3616275 = boost
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.016009951 = queryNorm
              0.32759392 = fieldWeight in 4081, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
          0.20242745 = weight(abstract_txt:neural in 4081) [ClassicSimilarity], result of:
            0.20242745 = score(doc=4081,freq=3.0), product of:
              0.21598497 = queryWeight, product of:
                1.947773 = boost
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.016009951 = queryNorm
              0.93722934 = fieldWeight in 4081, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                6.926203 = idf(docFreq=117, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
          0.073752224 = weight(abstract_txt:network in 4081) [ClassicSimilarity], result of:
            0.073752224 = score(doc=4081,freq=2.0), product of:
              0.14437374 = queryWeight, product of:
                1.950367 = boost
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.016009951 = queryNorm
              0.5108424 = fieldWeight in 4081, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                4.6236176 = idf(docFreq=1179, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
          0.1963442 = weight(abstract_txt:query in 4081) [ClassicSimilarity], result of:
            0.1963442 = score(doc=4081,freq=3.0), product of:
              0.30523178 = queryWeight, product of:
                4.010533 = boost
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.016009951 = queryNorm
              0.6432626 = fieldWeight in 4081, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                4.7537646 = idf(docFreq=1035, maxDocs=44218)
                0.078125 = fieldNorm(doc=4081)
        0.24 = coord(6/25)
    
  5. Chen, P.-W.; Chang, S.-K.: Knowledge-based multimedia information retrieval in hyperspace (1997) 0.12
    0.115575306 = sum of:
      0.115575306 = product of:
        0.5778765 = sum of:
          0.038589764 = weight(abstract_txt:model in 7475) [ClassicSimilarity], result of:
            0.038589764 = score(doc=7475,freq=3.0), product of:
              0.07154161 = queryWeight, product of:
                1.1210008 = boost
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.016009951 = queryNorm
              0.5394031 = fieldWeight in 7475, product of:
                1.7320508 = tf(freq=3.0), with freq of:
                  3.0 = termFreq=3.0
                3.986234 = idf(docFreq=2231, maxDocs=44218)
                0.078125 = fieldNorm(doc=7475)
          0.009981795 = weight(abstract_txt:information in 7475) [ClassicSimilarity], result of:
            0.009981795 = score(doc=7475,freq=1.0), product of:
              0.052775636 = queryWeight, product of:
                1.3616275 = boost
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.016009951 = queryNorm
              0.18913643 = fieldWeight in 7475, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                2.4209464 = idf(docFreq=10677, maxDocs=44218)
                0.078125 = fieldNorm(doc=7475)
          0.06287327 = weight(abstract_txt:base in 7475) [ClassicSimilarity], result of:
            0.06287327 = score(doc=7475,freq=1.0), product of:
              0.14286584 = queryWeight, product of:
                1.5841298 = boost
                5.633102 = idf(docFreq=429, maxDocs=44218)
                0.016009951 = queryNorm
              0.4400861 = fieldWeight in 7475, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.633102 = idf(docFreq=429, maxDocs=44218)
                0.078125 = fieldNorm(doc=7475)
          0.06481601 = weight(abstract_txt:architecture in 7475) [ClassicSimilarity], result of:
            0.06481601 = score(doc=7475,freq=1.0), product of:
              0.14579386 = queryWeight, product of:
                1.6002808 = boost
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.016009951 = queryNorm
              0.444573 = fieldWeight in 7475, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                5.690534 = idf(docFreq=405, maxDocs=44218)
                0.078125 = fieldNorm(doc=7475)
          0.40161568 = weight(abstract_txt:negotiation in 7475) [ClassicSimilarity], result of:
            0.40161568 = score(doc=7475,freq=1.0), product of:
              0.61968094 = queryWeight, product of:
                4.665795 = boost
                8.29569 = idf(docFreq=29, maxDocs=44218)
                0.016009951 = queryNorm
              0.64810073 = fieldWeight in 7475, product of:
                1.0 = tf(freq=1.0), with freq of:
                  1.0 = termFreq=1.0
                8.29569 = idf(docFreq=29, maxDocs=44218)
                0.078125 = fieldNorm(doc=7475)
        0.2 = coord(5/25)