Search (26 results, page 1 of 2)

  • × theme_ss:"Inhaltsanalyse"
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  1. Krause, J.: Principles of content analysis for information retrieval systems : an overview (1996) 0.22
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    Source
    Text analysis and computer. Ed.: C. Züll et al
  2. Vieira, L.: Modèle d'analyse pur une classification du document iconographique (1999) 0.12
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    Series
    Collection travaux et recherches; UL3
    Source
    Organisation des connaissances en vue de leur intégration dans les systèmes de représentation et de recherche d'information. Ed.: J. Maniez, et al
  3. Renouf, A.: Making sense of text : automated approaches to meaning extraction (1993) 0.11
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    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
  4. Hays, D.G.: Linguistic foundations of the theory of content analysis (1969) 0.11
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    Source
    The analysis of communication content. Ed.: G. Gerbner et al
  5. Smith, P.J.; Normore, L.F.; Denning, R.; Johnson, W.P.: Computerized tools to support document analysis (1994) 0.09
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    Source
    Challenges in indexing electronic text and images. Ed.: R. Fidel et al
  6. Wilson, P.: Subjects and the sense of position (1968) 0.06
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    Footnote
    Nachdruck in: Theory of subject analysis: a sourcebook. Eds.: L.M. Chan et al., S.308-325.
  7. Sigel, A.: How can user-oriented depth analysis be constructively guided? (2000) 0.06
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    Source
    Dynamism and stability in knowledge organization: Proceedings of the 6th International ISKO-Conference, 10-13 July 2000, Toronto, Canada. Ed.: C. Beghtol et al
  8. Beghtol, C.: Toward a theory of fiction analysis for information storage and retrieval (1992) 0.03
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    Date
    5. 8.2006 13:22:08
  9. Wilson, P.: Subjects and the sense of position (1985) 0.03
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    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
  10. Fairthorne, R.A.: Temporal structure in bibliographic classification (1985) 0.02
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    Source
    Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
  11. Beghtol, C.: Bibliographic classification theory and text linguistics : aboutness, analysis, intertextuality and the cognitive act of classifying documents (1986) 0.02
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  12. Hicks, C.; Rush, J.; Strong, S.: Content analysis (1977) 0.02
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  13. Martindale, C.; McKenzie, D.: On the utility of content analysis in author attribution : 'The federalist' (1995) 0.02
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  14. Schulzki-Haddouti, C.; Brückner, A.: ¬Die Suche nach dem Sinn : Automatische Inhaltsanalyse nicht nur für Geheimdienste (2001) 0.01
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  15. Jörgensen, C.: ¬The applicability of selected classification systems to image attributes (1996) 0.01
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  16. Beghtol, C.: Stories : applications of narrative discourse analysis to issues in information storage and retrieval (1997) 0.01
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  17. Knautz, K.; Dröge, E.; Finkelmeyer, S.; Guschauski, D.; Juchem, K.; Krzmyk, C.; Miskovic, D.; Schiefer, J.; Sen, E.; Verbina, J.; Werner, N.; Stock, W.G.: Indexieren von Emotionen bei Videos (2010) 0.01
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  18. Clavier, V.; Paganelli, C.: Including authorial stance in the indexing of scientific documents (2012) 0.01
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  19. 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
  20. Garcia Jiménez, A.; Valle Gastaminza, F. del: From thesauri to ontologies: a case study in a digital visual context (2004) 0.01
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    Abstract
    In this paper a framework for the construction and organization of knowledge organization and representation languages in the context of digital photograph collections is presented. It analyses exigencies of photographs as documentary objects, as well as several models of indexing, different proposals of languages and a theoretical revision of ontologies in this research field, in relation to visual documents. In considering the photograph as an analysis object, it is appropriate to study all its attributes: features, components or properties of an objeet that can be represented in an information processing system. The attributes which are related to visual features include cognitive and affective answers and elements that describe spatial, semantic, symbolic or emotional features about a photograph. In any case, it is necessary to treat: a) morphological and material attributes (emulsion, state of preservation); b) biographical attributes: (school or trend, publication or exhibition); c) attributes of content: what and how a photograph says something; d) relational attributes: visual documents establish relationships with other documents that can be analysed in order to understand them.