Search (7 results, page 1 of 1)

  • × theme_ss:"Inhaltsanalyse"
  • × year_i:[1980 TO 1990}
  1. Piekara, F.H.: Wie idiosynkratisch ist Wissen? : Individuelle Unterschiede im Assoziieren und bei der Anlage und Nutzung von Informationssystemen (1988) 0.02
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    Abstract
    Gegenstand dieser Arbeit sind die Unterschiede im Wissen zwischen Personen. Um eine Bestimmung der bestehenden Unterschiede im alltäglichen Wissen zwischen Personen vornehmen zu können, wird der begriff "Wissen" expliziert, der Beitrag verschiedener Wissensrepräsentationskonzeptionen zur Beschreibung von Wissen und somit von Wissensunterschieden diskutiert und schließlich verschiedene Methoden zur Bestimmung von Wissen und Wissensunterschieden aus dem Verhalten dargstellt und bewertet. Durch den inter- und Intraindividuellen Vergleich von Assoziationen wird das Ausmaß an Unterschieden im Wissen zwischen 2 Personen auf 24-27% geschätzt
  2. Langridge, D.W.: Subject analysis : principles and procedures (1989) 0.01
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    Footnote
    Enthält Empfehlungen zur Vorgehensweise bei der Inhaltsanalyse und diskutiert Beispiele // Eine deutsche Übersetzung ist 1994 im Saur Verlag erschienen. - Rez. in: Knowledge organization 20(1993) no.2, S.98-99. (M.P. Satija)
  3. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01
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    Date
    5. 8.2006 13:22:44
  4. Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983) 0.01
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  5. Belkin, N.J.: ¬The problem of 'matching' in information retrieval (1980) 0.01
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  6. Pejtersen, A.M.: Implications of users' value perception for the design of knowledge based bibliographic retrieval systems (1985) 0.01
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  7. Morehead, D.R.; Pejtersen, A.M.; Rouse, W.B.: ¬The value of information and computer-aided information seeking : problem formulation and application to fiction retrieval (1984) 0.01
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    Abstract
    Issues concerning the formulation and application of a model of how humans value information are examined. Formulation of a value function is based on research from modelling, value assessment, human information seeking behavior, and human decision making. The proposed function is incorporated into a computer-based fiction retrieval system and evaluated using data from nine searches. Evaluation is based on the ability of an individual's value function to discriminate among novels selected, rejected, and not considered. The results are discussed in terms of both formulation and utilization of a value function as well as the implications for extending the proposed formulation to other information seeking environments