Search (15 results, page 1 of 1)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Literaturübersicht"
  1. Enser, P.G.B.: Visual image retrieval (2008) 0.01 
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    Date
    22. 1.2012 13:01:26
  2. Morris, S.A.: Mapping research specialties (2008) 0.01 
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    Date
    13. 7.2008 9:30:22
  3. Fallis, D.: Social epistemology and information science (2006) 0.01 
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    Date
    13. 7.2008 19:22:28
  4. Nicolaisen, J.: Citation analysis (2007) 0.01 
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    Date
    13. 7.2008 19:53:22
  5. El-Sherbini, M.: Selected cataloging tools on the Internet (2003) 0.01 
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    Abstract
    This bibliography contains selected cataloging tools an the Internet. It is divided into seven sections as follows: authority management and subject headings tools; cataloging tools by type of materials; dictionaries, encyclopedias, and place names; listservs and workshops; software and vendors; technical service professional organizations; and journals and newsletters. Resources are arranged in alphabetical order under each topic. Selected cataloging tools are annotated. There is some overlap since a given web site can cover many tools.
  6. 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
  7. El-Sherbini, M.A.: Cataloging and classification : review of the literature 2005-06 (2008) 0.01 
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    10. 9.2000 17:38:22
  8. Miksa, S.D.: ¬The challenges of change : a review of cataloging and classification literature, 2003-2004 (2007) 0.01 
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    10. 9.2000 17:38:22
  9. 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.
  10. Nielsen, M.L.: Thesaurus construction : key issues and selected readings (2004) 0.01 
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    Date
    18. 5.2006 20:06:22
  11. Weiss, A.K.; Carstens, T.V.: ¬The year's work in cataloging, 1999 (2001) 0.01 
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    10. 9.2000 17:38:22
  12. Galloway, P.: Preservation of digital objects (2003) 0.00 
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    Abstract
    The preservation of digital objects (defined here as objects in digital form that require a computer to support their existence and display) is obviously an important practical issue for the information professions, with its importance growing daily as more information objects are produced in, or converted to, digital form. Yakel's (2001) review of the field provided a much-needed introduction. At the same time, the complexity of new digital objects continues to increase, challenging existing preservation efforts (Lee, Skattery, Lu, Tang, & McCrary, 2002). The field of information science itself is beginning to pay some reflexive attention to the creation of fragile and unpreservable digital objects. But these concerns focus often an the practical problems of short-term repurposing of digital objects rather than actual preservation, by which I mean the activity of carrying digital objects from one software generation to another, undertaken for purposes beyond the original reasons for creating the objects. For preservation in this sense to be possible, information science as a discipline needs to be active in the formulation of, and advocacy for, national information policies. Such policies will need to challenge the predominant cultural expectation of planned obsolescence for information resources, and cultural artifacts in general.
  13. Genereux, C.: Building connections : a review of the serials literature 2004 through 2005 (2007) 0.00 
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    10. 9.2000 17:38:22
  14. Corbett, L.E.: Serials: review of the literature 2000-2003 (2006) 0.00 
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    10. 9.2000 17:38:22
  15. Denton, W.: Putting facets on the Web : an annotated bibliography (2003) 0.00 
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    Abstract
    Consider movie listings in newspapers. Most Canadian newspapers list movie showtimes in two large blocks, for the two major theatre chains. The listings are ordered by region (in large cities), then theatre, then movie, and finally by showtime. Anyone wondering where and when a particular movie is playing must scan the complete listings. Determining what movies are playing in the next half hour is very difficult. When movie listings went onto the web, most sites used a simple faceted organization, always with movie name and theatre, and perhaps with region or neighbourhood (thankfully, theatre chains were left out). They make it easy to pick a theatre and see what movies are playing there, or to pick a movie and see what theatres are showing it. To complete the system, the sites should allow users to browse by neighbourhood and showtime, and to order the results in any way they desired. Thus could people easily find answers to such questions as, "Where is the new James Bond movie playing?" "What's showing at the Roxy tonight?" "I'm going to be out in in Little Finland this afternoon with three hours to kill starting at 2 ... is anything interesting playing?" A hypertext, faceted classification system makes more useful information more easily available to the user. Reading the books and articles below in chronological order will show a certain progression: suggestions that faceting and hypertext might work well, confidence that facets would work well if only someone would make such a system, and finally the beginning of serious work on actually designing, building, and testing faceted web sites. There is a solid basis of how to make faceted classifications (see Vickery in Recommended), but their application online is just starting. Work on XFML (see Van Dijck's work in Recommended) the Exchangeable Faceted Metadata Language, will make this easier. If it follows previous patterns, parts of the Internet community will embrace the idea and make open source software available for others to reuse. It will be particularly beneficial if professionals in both information studies and computer science can work together to build working systems, standards, and code. Each can benefit from the other's expertise in what can be a very complicated and technical area. One particularly nice thing about this area of research is that people interested in combining facets and the web often have web sites where they post their writings.
    This bibliography is not meant to be exhaustive, but unfortunately it is not as complete as I wanted. Some books and articles are not be included, but they may be used in my future work. (These include two books and one article by B.C. Vickery: Faceted Classification Schemes (New Brunswick, NJ: Rutgers, 1966), Classification and Indexing in Science, 3rd ed. (London: Butterworths, 1975), and "Knowledge Representation: A Brief Review" (Journal of Documentation 42 no. 3 (September 1986): 145-159; and A.C. Foskett's "The Future of Faceted Classification" in The Future of Classification, edited by Rita Marcella and Arthur Maltby (Aldershot, England: Gower, 2000): 69-80). Nevertheless, I hope this bibliography will be useful for those both new to or familiar with faceted hypertext systems. Some very basic resources are listed, as well as some very advanced ones. Some example web sites are mentioned, but there is no detailed technical discussion of any software. The user interface to any web site is extremely important, and this is briefly mentioned in two or three places (for example the discussion of lawforwa.org (see Example Web Sites)). The larger question of how to display information graphically and with hypertext is outside the scope of this bibliography. There are five sections: Recommended, Background, Not Relevant, Example Web Sites, and Mailing Lists. Background material is either introductory, advanced, or of peripheral interest, and can be read after the Recommended resources if the reader wants to know more. The Not Relevant category contains articles that may appear in bibliographies but are not relevant for my purposes.

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