Search (39 results, page 1 of 2)

  • × theme_ss:"Literaturübersicht"
  1. Hsueh, D.C.: Recon road maps : retrospective conversion literature, 1980-1990 (1992) 0.05
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    Footnote
    Simultaneously published as Retrospective Conversion: History, Approaches, Considerations
    Source
    Cataloging and classification quarterly. 14(1992) nos.3/4, S.5-22
  2. Buckland, M.K.; Liu, Z.: History of information science (1995) 0.05
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    Date
    13. 6.1996 19:22:20
  3. Chambers, S.; Myall, C.: Cataloging and classification : review of the literature 2007-8 (2010) 0.04
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    Abstract
    This paper surveys library literature on cataloging and classification published in 2007-8, indicating its extent and range in terms of types of literature, major subject areas, and themes. The paper reviews pertinent literature in the following areas: the future of bibliographic control, general cataloging standards and texts, Functional Requirements for Bibliographic Records (FRBR), cataloging varied resources, metadata and cataloging in the Web world, classification and subject access, questions of diversity and diverse perspectives, additional reports of practice and research, catalogers' education and careers, keeping current through columns and blogs, and cataloging history.
    Date
    10. 9.2000 17:38:22
  4. Martin, K.E.; Mundle, K.: Positioning libraries for a new bibliographic universe (2014) 0.04
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    Abstract
    This paper surveys the English-language literature on cataloging and classification published during 2011 and 2012, covering both theory and application. A major theme of the literature centered on Resource Description and Access (RDA), as the period covered in this review includes the conclusion of the RDA test, revisions to RDA, and the implementation decision. Explorations in the theory and practical applications of the Functional Requirements for Bibliographic Records (FRBR), upon which RDA is organized, are also heavily represented. Library involvement with linked data through the creation of prototypes and vocabularies are explored further during the period. Other areas covered in the review include: classification, controlled vocabularies and name authority, evaluation and history of cataloging, special formats cataloging, cataloging and discovery services, non-AACR2/RDA metadata, cataloging workflows, and the education and careers of catalogers.
    Date
    10. 9.2000 17:38:22
  5. Black, A.: ¬The history of information (2006) 0.03
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  6. Burke, C.: History of information science (2007) 0.03
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  7. Høyrup, E.: Books about mathematics : history, philosophy, education, models, system theory, and works of reference etc (1979) 0.03
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  8. Enser, P.G.B.: Visual image retrieval (2008) 0.02
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    Date
    22. 1.2012 13:01:26
  9. Morris, S.A.: Mapping research specialties (2008) 0.02
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    Date
    13. 7.2008 9:30:22
  10. Fallis, D.: Social epistemology and information science (2006) 0.02
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    Date
    13. 7.2008 19:22:28
  11. Nicolaisen, J.: Citation analysis (2007) 0.02
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    Date
    13. 7.2008 19:53:22
  12. Metz, A.: Community service : a bibliography (1996) 0.02
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    Date
    17.10.1996 14:22:33
  13. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  14. Smith, L.C.: Artificial intelligence and information retrieval (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.41-77
  15. Warner, A.J.: Natural language processing (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  16. Osareh, F.: Bibliometrics, citation analysis and co-citation analysis : a review of literature I (1996) 0.02
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    Abstract
    Part 1 of a 2 part article reviewing the technique of bibliometrics and one of its most widely used methods, citation analysis. Traces the history and development of bibliometrics, including its definition, scope, role in scholarly communication and applications. Treats citation analysis similarly with particular reference to bibliographic coupling and cocitation coupling
  17. Grudin, J.: Human-computer interaction (2011) 0.01
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    Date
    27.12.2014 18:54:22
  18. Allen, B.: Cognitive research in information science : implications for design (1991) 0.01
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    Abstract
    Traces the history and development of cognitive research techniques in information science and surveys current research that relies on the cognitive aspect. Examines information systems that make use of the insights of cognitive research, including experimental and proposed systems. Examples include systems that are designed to make appropriate demands on user cognitive processing. Points out that cognitive research in information science has focused primarily on users of information systems and to a lesser extent on information intermediaries. Design initiatives deriving from this research have been directed toward developing information technology that can adapt to the knowledge abilities, and styles of individual users and that make efficient use of the knowledge base and cognitive process of groups of users
  19. Lentz, E.A.: Editing recon records : when is enough, enough? A selective review of the literature (1992) 0.01
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    Footnote
    Simultaneously published as Retrospective Conversion: History, Approaches, Considerations
  20. Zhu, B.; Chen, H.: Information visualization (2004) 0.01
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    Abstract
    Advanced technology has resulted in the generation of about one million terabytes of information every year. Ninety-reine percent of this is available in digital format (Keim, 2001). More information will be generated in the next three years than was created during all of previous human history (Keim, 2001). Collecting information is no longer a problem, but extracting value from information collections has become progressively more difficult. Various search engines have been developed to make it easier to locate information of interest, but these work well only for a person who has a specific goal and who understands what and how information is stored. This usually is not the Gase. Visualization was commonly thought of in terms of representing human mental processes (MacEachren, 1991; Miller, 1984). The concept is now associated with the amplification of these mental processes (Card, Mackinlay, & Shneiderman, 1999). Human eyes can process visual cues rapidly, whereas advanced information analysis techniques transform the computer into a powerful means of managing digitized information. Visualization offers a link between these two potent systems, the human eye and the computer (Gershon, Eick, & Card, 1998), helping to identify patterns and to extract insights from large amounts of information. The identification of patterns is important because it may lead to a scientific discovery, an interpretation of clues to solve a crime, the prediction of catastrophic weather, a successful financial investment, or a better understanding of human behavior in a computermediated environment. Visualization technology shows considerable promise for increasing the value of large-scale collections of information, as evidenced by several commercial applications of TreeMap (e.g., http://www.smartmoney.com) and Hyperbolic tree (e.g., http://www.inxight.com) to visualize large-scale hierarchical structures. Although the proliferation of visualization technologies dates from the 1990s where sophisticated hardware and software made increasingly faster generation of graphical objects possible, the role of visual aids in facilitating the construction of mental images has a long history. Visualization has been used to communicate ideas, to monitor trends implicit in data, and to explore large volumes of data for hypothesis generation. Imagine traveling to a strange place without a map, having to memorize physical and chemical properties of an element without Mendeleyev's periodic table, trying to understand the stock market without statistical diagrams, or browsing a collection of documents without interactive visual aids. A collection of information can lose its value simply because of the effort required for exhaustive exploration. Such frustrations can be overcome by visualization.
    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.

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