Search (10 results, page 1 of 1)

  • × theme_ss:"Inhaltsanalyse"
  • × theme_ss:"Schöne Literatur"
  • × type_ss:"a"
  1. Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992) 0.01
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    Date
    5. 8.2006 13:22:08
  2. Pejtersen, A.M.: Implications of users' value perception for the design of knowledge based bibliographic retrieval systems (1985) 0.01
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    Source
    2nd Symposium on Empirical Foundations of Information and Software Science, 3.-5.10.84, Atlanta
  3. 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
    Source
    Information processing and management. 20(1984), S.583-601
  4. Hidderley, R.; Rafferty, P.: Democratic indexing : an approach to the retrieval of fiction (1997) 0.01
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    Abstract
    Examines how an analytical framework to describe the contents of images may be extended to deal with time based materials like film and music. A levels of meanings table was developed and used as an indexing template for image retrieval purposes. Develops a concept of democratic indexing which focused on user interpretation. Describes the approach to image or pictorial information retrieval. Extends the approach in relation to fiction
    Source
    Information services and use. 17(1997) nos.2/3, S.101-109
  5. Beghtol, C.: Stories : applications of narrative discourse analysis to issues in information storage and retrieval (1997) 0.01
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    Abstract
    The arts, humanities, and social sciences commonly borrow concepts and methods from the sciences, but interdisciplinary borrowing seldom occurs in the opposite direction. Research on narrative discourse is relevant to problems of documentary storage and retrieval, for the arts and humanities in particular, but also for other broad areas of knowledge. This paper views the potential application of narrative discourse analysis to information storage and retrieval problems from 2 perspectives: 1) analysis and comparison of narrative documents in all disciplines may be simplified if fundamental categories that occur in narrative documents can be isolated; and 2) the possibility of subdividing the world of knowledge initially into narrative and non-narrative documents is explored with particular attention to Werlich's work on text types
  6. 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) 0.00
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    Date
    5. 8.2006 13:22:44
    Source
    Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u, L. Kajberg
  7. Austin, J.; Pejtersen, A.M.: Fiction retrieval: experimental design and evaluation of a search system based on user's value criteria. Pt.1 (1983) 0.00
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  8. Pejtersen, A.M.: Design of a computer-aided user-system dialogue based on an analysis of users' search behaviour (1984) 0.00
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    Source
    Social science information studies. 4(1984), S.167-183
  9. Solomon, P.: Access to fiction for children : a user-based assessment of options and opportunities (1997) 0.00
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    Source
    Information services and use. 17(1997) nos.2/3, S.139-146
  10. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 0.00
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