Search (42 results, page 1 of 3)

  • × theme_ss:"Begriffstheorie"
  1. Jouis, C.: Logic of relationships (2002) 0.03 
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    Date
    1.12.2002 11:12:22
    Series
    Information science and knowledge management; vol.3
  2. Dahlberg, I.: ¬Die gegenstandsbezogene, analytische Begriffstheorie und ihre Definitionsarten (1987) 0.02 
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    Pages
    S.9-22
  3. Wüster, E.: Begriffs- und Themaklassifikation : Unterschiede in ihrem Wesen und in ihrer Anwendung (1971) 0.02 
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    Source
    Nachrichten für Dokumentation. 22(1971) H.3, S.98-104 (T.1); H.4, S.143-150 (T.2)
  4. Bronowski, J.; Bellugi, U.: Language, name, and concept (1970) 0.02 
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    Source
    Science. 168(1970), S.669-673
  5. Bivins, K.T.: Concept formation : the evidence from experimental psychology and linguistics and its relationship to information science (1980) 0.02 
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    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
  6. Grolier, E. de: From theories to concepts and from facts to words (1990) 0.02 
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    Source
    International social science journal. 42(1990) no.2, S.241-251
  7. Dahlberg, I.: Begriffsarbeit in der Wissensorganisation (2010) 0.01 
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    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
  8. Storms, G.; VanMechelen, I.; DeBoeck, P.: Structural-analysis of the intension and extension of semantic concepts (1994) 0.01 
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    Date
    22. 7.2000 19:17:40
  9. Bauer, G.: ¬Die vielseitigen Anwendungsmöglichkeiten des Kategorienprinzips bei der Wissensorganisation (2006) 0.01 
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    Pages
    S.22-33
  10. Hjoerland, B.: Concept theory (2009) 0.01 
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    Abstract
    Concept theory is an extremely broad, interdisciplinary and complex field of research related to many deep fields with very long historical traditions without much consensus. However, information science and knowledge organization cannot avoid relating to theories of concepts. Knowledge organizing systems (e.g., classification systems, thesauri, and ontologies) should be understood as systems basically organizing concepts and their semantic relations. The same is the case with information retrieval systems. Different theories of concepts have different implications for how to construe, evaluate, and use such systems. Based on a post-Kuhnian view of paradigms, this article put forward arguments that the best understanding and classification of theories of concepts is to view and classify them in accordance with epistemological theories (empiricism, rationalism, historicism, and pragmatism). It is also argued that the historicist and pragmatist understandings of concepts are the most fruitful views and that this understanding may be part of a broader paradigm shift that is also beginning to take place in information science. The importance of historicist and pragmatic theories of concepts for information science is outlined.
    Footnote
    Vgl.: Szostak, R.: Comment on Hjørland's concept theory in: Journal of the American Society for Information Science and Technology. 61(2010) no.5, S. 1076-1077 und die Erwiderung darauf von B. Hjoerland (S.1078-1080)
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.8, S.1519-1536
  11. Treude, L.: ¬Das Problem der Konzeptdefinition in der Wissensorganisation : über einen missglückten Versuch der Klärung (2013) 0.01 
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    Source
    LIBREAS: Library ideas. no.22, 2013, S.xx-xx
  12. Bonnevie, E.: Dretske's semantic information theory and meta-theories in library and information science (2001) 0.01 
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    Abstract
    This article presents the semantic information theory, formulated by the philosopher Fred I. Dretske, as a contribution to the discussion of metatheories and their practical implications in the field of library and information science. Dretske's theory is described in Knowledge and the flow of information. It is founded on mathematical communication theory but developed and elaborated into a cognitive, functionalistic theory, is individually oriented, and deals with the content of information. The topics are: the information process from perception to cognition, and how concept formation takes place in terms of digitisation. Other important issues are the concepts of information and knowledge, truth and meaning. Semantic information theory can be used as a frame of reference in order to explain, clarify and refute concepts currently used in library and information science, and as the basis for critical reviews of elements of the cognitive viewpoint in IR, primarily the notion of "potential information". The main contribution of the theory lies in a clarification of concepts, but there are still problems regarding the practical applications. More research is needed to combine philosophical discussions with the practice of information and library science.
  13. Hetzler, B.: Visual analysis and exploration of relationships (2002) 0.01 
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    Abstract
    Relationships can provide a rich and powerful set of information and can be used to accomplish application goals, such as information retrieval and natural language processing. A growing trend in the information science community is the use of information visualization-taking advantage of people's natural visual capabilities to perceive and understand complex information. This chapter explores how visualization and visual exploration can help users gain insight from known relationships and discover evidence of new relationships not previously anticipated.
    Series
    Information science and knowledge management; vol.3
  14. Marradi, A.: ¬The concept of concept : concepts and terms (2012) 0.01 
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    Date
    22. 1.2012 13:11:25
  15. Besler, G.; Szulc, J.: Gottlob Frege's theory of definition as useful tool for knowledge organization : definition of 'context' - case study (2014) 0.01 
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  16. Olson, H.A.: How we construct subjects : a feminist analysis (2007) 0.01 
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    Date
    11.12.2019 19:00:22
  17. Pansegrouw, J.G.: ¬Die begrippe spesie, klas en versameling in verhouding tot indekseringteorie (1995) 0.01 
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    Source
    South African journal of library and information science. 63(1995) no.4, S.173-178
  18. Cruse, D.A.: Hyponymy and its varieties (2002) 0.01 
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    Series
    Information science and knowledge management; vol.3
  19. Green, R.: Internally-structured conceptual models in cognitive semantics (2002) 0.01 
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    Information science and knowledge management; vol.3
  20. Szostak, R.: Complex concepts into basic concepts (2011) 0.01 
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    Abstract
    Interdisciplinary communication, and thus the rate of progress in scholarly understanding, would be greatly enhanced if scholars had access to a universal classification of documents or ideas not grounded in particular disciplines or cultures. Such a classification is feasible if complex concepts can be understood as some combination of more basic concepts. There appear to be five main types of concept theory in the philosophical literature. Each provides some support for the idea of breaking complex into basic concepts that can be understood across disciplines or cultures, but each has detractors. None of these criticisms represents a substantive obstacle to breaking complex concepts into basic concepts within information science. Can we take the subject entries in existing universal but discipline-based classifications, and break these into a set of more basic concepts that can be applied across disciplinary classes? The author performs this sort of analysis for Dewey classes 300 to 339.9. This analysis will serve to identify the sort of 'basic concepts' that would lie at the heart of a truly universal classification. There are two key types of basic concept: the things we study (individuals, rocks, trees), and the relationships among these (talking, moving, paying).
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2247-2265

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