Search (26 results, page 1 of 2)

  • × theme_ss:"Literaturübersicht"
  1. Enser, P.G.B.: Visual image retrieval (2008) 0.03
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    Date
    22. 1.2012 13:01:26
  2. Morris, S.A.: Mapping research specialties (2008) 0.03
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    Date
    13. 7.2008 9:30:22
  3. Fallis, D.: Social epistemology and information science (2006) 0.03
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    Date
    13. 7.2008 19:22:28
  4. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  5. Metz, A.: Community service : a bibliography (1996) 0.03
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    Date
    17.10.1996 14:22:33
  6. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  7. Smith, L.C.: Artificial intelligence and information retrieval (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.41-77
  8. Warner, A.J.: Natural language processing (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  9. Grudin, J.: Human-computer interaction (2011) 0.02
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    Date
    27.12.2014 18:54:22
  10. Cornelius, I.: Theorizing information for information science (2002) 0.02
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    Abstract
    Shannon provides a model whereby an information source selects a desired message, out of a set of possible messages, that is then formed into a signal. The signal is sent over the communication channel to a receiver, which then transforms the signal back to a message that is relayed to its destination (Shannon & Weaver, 1949/1963, p. 7). Problems connected with this model have remained with us. Some of the concepts are ambiguous; the identification of information with a process has spancelled the debate; the problems of measuring the amount of information, the relation of information to meaning, and questions about the truth value of information have remained. Balancing attention between the process and the act of receiving information, and deterrnining the character of the receiver, has also been the focus of work and debate. Information science has mined work from other disciplines involving information theory and has also produced its own theory. The desire for theory remains (Hjorland, 1998; Saracevic, 1999), but what theory will deliver is unclear. The distinction between data and information, or communication and information, is not of concern here. The convention that data, at some point of use, become information, and that information is transferred in a process of communication suffices for this discussion. Substitution of any of these terms is not a problem. More problematic is the relationship between information and knowledge. It seems accepted that at some point the data by perception, or selection, become information, which feeds and alters knowledge structures in a human recipient. What that process of alteration is, and its implications, remain problematic. This review considers the following questions: 1. What can be gleaned from the history of reviews of information in information science? 2. What current maps, guides, and surveys are available to elaborate our understanding of the issues? 3. Is there a parallel development of work outside information science an information theory of use to us? 4. Is there a dominant view of information within information science? 5. What can we say about issues like measurement, meaning, and misinformation? 6. Is there other current work of relevance that can assist attempts, in information science, to develop a theory of information?
  11. Zhu, B.; Chen, H.: Information visualization (2004) 0.02
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    Abstract
    Visualization can be classified as scientific visualization, software visualization, or information visualization. Although the data differ, the underlying techniques have much in common. They use the same elements (visual cues) and follow the same rules of combining visual cues to deliver patterns. They all involve understanding human perception (Encarnacao, Foley, Bryson, & Feiner, 1994) and require domain knowledge (Tufte, 1990). Because most decisions are based an unstructured information, such as text documents, Web pages, or e-mail messages, this chapter focuses an the visualization of unstructured textual documents. The chapter reviews information visualization techniques developed over the last decade and examines how they have been applied in different domains. The first section provides the background by describing visualization history and giving overviews of scientific, software, and information visualization as well as the perceptual aspects of visualization. The next section assesses important visualization techniques that convert abstract information into visual objects and facilitate navigation through displays an a computer screen. It also explores information analysis algorithms that can be applied to identify or extract salient visualizable structures from collections of information. Information visualization systems that integrate different types of technologies to address problems in different domains are then surveyed; and we move an to a survey and critique of visualization system evaluation studies. The chapter concludes with a summary and identification of future research directions.
  12. Rader, H.B.: Library orientation and instruction - 1993 (1994) 0.02
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    Source
    Reference services review. 22(1994) no.4, S.81-
  13. Hsueh, D.C.: Recon road maps : retrospective conversion literature, 1980-1990 (1992) 0.01
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    Source
    Cataloging and classification quarterly. 14(1992) nos.3/4, S.5-22
  14. Gabbard, R.: Recent literature shows accelerated growth in hypermedia tools : an annotated bibliography (1994) 0.01
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    Source
    Reference services review. 22(1994) no.2, S.31-40
  15. Buckland, M.K.; Liu, Z.: History of information science (1995) 0.01
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    Date
    13. 6.1996 19:22:20
  16. Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996) 0.01
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    Abstract
    State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
  17. Kim, K.-S.: Recent work in cataloging and classification, 2000-2002 (2003) 0.01
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    Date
    10. 9.2000 17:38:22
  18. El-Sherbini, M.A.: Cataloging and classification : review of the literature 2005-06 (2008) 0.01
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    Date
    10. 9.2000 17:38:22
  19. Miksa, S.D.: ¬The challenges of change : a review of cataloging and classification literature, 2003-2004 (2007) 0.01
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    Date
    10. 9.2000 17:38:22
  20. Nielsen, M.L.: Thesaurus construction : key issues and selected readings (2004) 0.01
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    Date
    18. 5.2006 20:06:22