Search (34 results, page 2 of 2)

  • × theme_ss:"Visualisierung"
  1. Thissen, F.: Screen-Design-Handbuch : Effektiv informieren und kommunizieren mit Multimedia (2001) 0.01
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    Date
    22. 3.2008 14:35:21
  2. Osinska, V.; Bala, P.: New methods for visualization and improvement of classification schemes : the case of computer science (2010) 0.01
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    Date
    22. 7.2010 19:36:46
  3. Choi, I.: Visualizations of cross-cultural bibliographic classification : comparative studies of the Korean Decimal Classification and the Dewey Decimal Classification (2017) 0.01
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  4. Thissen, F.: Screen-Design-Manual : Communicating Effectively Through Multimedia (2003) 0.01
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    Date
    22. 3.2008 14:29:25
  5. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.01
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    Date
    22. 7.2006 16:11:05
  6. Wu, K.-C.; Hsieh, T.-Y.: Affective choosing of clustering and categorization representations in e-book interfaces (2016) 0.01
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    Date
    20. 1.2015 18:30:22
  7. Osinska, V.; Kowalska, M.; Osinski, Z.: ¬The role of visualization in the shaping and exploration of the individual information space : part 1 (2018) 0.01
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    Date
    21.12.2018 17:22:13
  8. Schek, M.: Automatische Klassifizierung in Erschließung und Recherche eines Pressearchivs (2006) 0.01
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    Object
    I-Views
  9. Wu, I.-C.; Vakkari, P.: Supporting navigation in Wikipedia by information visualization : extended evaluation measures (2014) 0.01
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  10. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (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
  11. Beagle, D.: Visualizing keyword distribution across multidisciplinary c-space (2003) 0.01
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    Abstract
    But what happens to this awareness in a digital library? Can discursive formations be represented in cyberspace, perhaps through diagrams in a visualization interface? And would such a schema be helpful to a digital library user? To approach this question, it is worth taking a moment to reconsider what Radford is looking at. First, he looks at titles to see how the books cluster. To illustrate, I scanned one hundred books on the shelves of a college library under subclass HT 101-395, defined by the LCC subclass caption as Urban groups. The City. Urban sociology. Of the first 100 titles in this sequence, fifty included the word "urban" or variants (e.g. "urbanization"). Another thirty-five used the word "city" or variants. These keywords appear to mark their titles as the heart of this discursive formation. The scattering of titles not using "urban" or "city" used related terms such as "town," "community," or in one case "skyscrapers." So we immediately see some empirical correlation between keywords and classification. But we also see a problem with the commonly used search technique of title-keyword. A student interested in urban studies will want to know about this entire subclass, and may wish to browse every title available therein. A title-keyword search on "urban" will retrieve only half of the titles, while a search on "city" will retrieve just over a third. There will be no overlap, since no titles in this sample contain both words. The only place where both words appear in a common string is in the LCC subclass caption, but captions are not typically indexed in library Online Public Access Catalogs (OPACs). In a traditional library, this problem is mitigated when the student goes to the shelf looking for any one of the books and suddenly discovers a much wider selection than the keyword search had led him to expect. But in a digital library, the issue of non-retrieval can be more problematic, as studies have indicated. Micco and Popp reported that, in a study funded partly by the U.S. Department of Education, 65 of 73 unskilled users searching for material on U.S./Soviet foreign relations found some material but never realized they had missed a large percentage of what was in the database.
  12. Burnett, R.: How images think (2004) 0.01
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    Footnote
    Rez. in: JASIST 56(2005) no.10, S.1126-1128 (P.K. Nayar): "How Images Think is an exercise both in philosophical meditation and critical theorizing about media, images, affects, and cognition. Burnett combines the insights of neuroscience with theories of cognition and the computer sciences. He argues that contemporary metaphors - biological or mechanical - about either cognition, images, or computer intelligence severely limit our understanding of the image. He suggests in his introduction that "image" refers to the "complex set of interactions that constitute everyday life in image-worlds" (p. xviii). For Burnett the fact that increasing amounts of intelligence are being programmed into technologies and devices that use images as their main form of interaction and communication-computers, for instance-suggests that images are interfaces, structuring interaction, people, and the environment they share. New technologies are not simply extensions of human abilities and needs-they literally enlarge cultural and social preconceptions of the relationship between body and mind. The flow of information today is part of a continuum, with exceptional events standing as punctuation marks. This flow connects a variety of sources, some of which are continuous - available 24 hours - or "live" and radically alters issues of memory and history. Television and the Internet, notes Burnett, are not simply a simulated world-they are the world, and the distinctions between "natural" and "non-natural" have disappeared. Increasingly, we immerse ourselves in the image, as if we are there. We rarely become conscious of the fact that we are watching images of events-for all perceptioe, cognitive, and interpretive purposes, the image is the event for us. The proximity and distance of viewer from/with the viewed has altered so significantly that the screen is us. However, this is not to suggest that we are simply passive consumers of images. As Burnett points out, painstakingly, issues of creativity are involved in the process of visualization-viewwes generate what they see in the images. This involves the historical moment of viewing-such as viewing images of the WTC bombings-and the act of re-imagining. As Burnett puts it, "the questions about what is pictured and what is real have to do with vantage points [of the viewer] and not necessarily what is in the image" (p. 26). In his second chapter Burnett moves an to a discussion of "imagescapes." Analyzing the analogue-digital programming of images, Burnett uses the concept of "reverie" to describe the viewing experience. The reverie is a "giving in" to the viewing experience, a "state" in which conscious ("I am sitting down an this sofa to watch TV") and unconscious (pleasure, pain, anxiety) processes interact. Meaning emerges in the not-always easy or "clean" process of hybridization. This "enhances" the thinking process beyond the boundaries of either image or subject. Hybridization is the space of intelligence, exchange, and communication.
    Burnett's work is a useful basic primer an the new media. One of the chief attractions here is his clear language, devoid of the jargon of either computer sciences or advanced critical theory. This makes How Images Think an accessible introduction to digital cultures. Burnett explores the impact of the new technologies an not just image-making but an image-effects, and the ways in which images constitute our ecologies of identity, communication, and subject-hood. While some of the sections seem a little too basic (especially where he speaks about the ways in which we constitute an object as an object of art, see above), especially in the wake of reception theory, it still remains a starting point for those interested in cultural studies of the new media. The Gase Burnett makes out for the transformation of the ways in which we look at images has been strengthened by his attention to the history of this transformation-from photography through television and cinema and now to immersive virtual reality systems. Joseph Koemer (2004) has pointed out that the iconoclasm of early modern Europe actually demonstrates how idolatory was integral to the image-breakers' core belief. As Koerner puts it, "images never go away ... they persist and function by being perpetually destroyed" (p. 12). Burnett, likewise, argues that images in new media are reformed to suit new contexts of meaning-production-even when they appear to be destroyed. Images are recast, and the degree of their realism (or fantasy) heightened or diminished-but they do not "go away." Images do think, but-if I can parse Burnett's entire work-they think with, through, and in human intelligence, emotions, and intuitions. Images are uncanny-they are both us and not-us, ours and not-ours. There is, surprisingly, one factual error. Burnett claims that Myron Kreuger pioneered the term "virtual reality." To the best of my knowledge, it was Jaron Lanier who did so (see Featherstone & Burrows, 1998 [1995], p. 5)."
  13. Graphic details : a scientific study of the importance of diagrams to science (2016) 0.00
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    Content
    As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.
  14. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Date
    23. 3.2008 19:10:22

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