Search (14 results, page 1 of 1)

  • × theme_ss:"Literaturübersicht"
  • × year_i:[2000 TO 2010}
  1. Enser, P.G.B.: Visual image retrieval (2008) 0.02 
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    Date
    22. 1.2012 13:01:26
  2. Morris, S.A.: Mapping research specialties (2008) 0.02 
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    Date
    13. 7.2008 9:30:22
  3. Fallis, D.: Social epistemology and information science (2006) 0.02 
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    Date
    13. 7.2008 19:22:28
  4. Nicolaisen, J.: Citation analysis (2007) 0.02 
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    13. 7.2008 19:53:22
  5. Chen, A.-P.; Chen, M.-Y.: ¬A review of survey research in knowledge management performance (2005) 0.01 
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    Abstract
    This paper surveys knowledge management (KM) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how KM performance evaluation has developed during this period. Based on the scope of 76 articles from 78 academic journals of KM, this paper surveys and classifies KM measurements using the following eight categories: qualitative analysis, quantitative analysis, financial indicator analysis, non-financial indicator analysis, internal performance analysis, external performance analysis, project-oriented analysis, and organizational-oriented analysis together with their measurement matrices for different research and problem domains. Discussion is presented, indicating the followings future development directions for KM performance evaluation: (1) KM performance evaluation is getting more important. (2) The quantitative analysis is the primary methodology in KM performance evaluation. (3) Firms are now highlighting the KM performance of competitors, through benchmarking or best practices, rather than internally auditing KM performance via balanced scorecard. (4) Firms may begin to focus more on project management measurement, than on the entire organization.
  6. Kim, K.-S.: Recent work in cataloging and classification, 2000-2002 (2003) 0.01 
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    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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  8. Miksa, S.D.: ¬The challenges of change : a review of cataloging and classification literature, 2003-2004 (2007) 0.01 
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  9. Nielsen, M.L.: Thesaurus construction : key issues and selected readings (2004) 0.01 
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    Date
    18. 5.2006 20:06:22
  10. 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
  11. Dumais, S.T.: Latent semantic analysis (2003) 0.01 
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    Abstract
    A number of approaches have been developed in information retrieval to address the problems caused by the variability in word usage. Stemming is a popular technique used to normalize some kinds of surface-level variability by converting words to their morphological root. For example, the words "retrieve," "retrieval," "retrieved," and "retrieving" would all be converted to their root form, "retrieve." The root form is used for both document and query processing. Stemming sometimes helps retrieval, although not much (Harman, 1991; Hull, 1996). And, it does not address Gases where related words are not morphologically related (e.g., physician and doctor). Controlled vocabularies have also been used to limit variability by requiring that query and index terms belong to a pre-defined set of terms. Documents are indexed by a specified or authorized list of subject headings or index terms, called the controlled vocabulary. Library of Congress Subject Headings, Medical Subject Headings, Association for Computing Machinery (ACM) keywords, and Yellow Pages headings are examples of controlled vocabularies. If searchers can find the right controlled vocabulary terms, they do not have to think of all the morphologically related or synonymous terms that authors might have used. However, assigning controlled vocabulary terms in a consistent and thorough manner is a time-consuming and usually manual process. A good deal of research has been published about the effectiveness of controlled vocabulary indexing compared to full text indexing (e.g., Bates, 1998; Lancaster, 1986; Svenonius, 1986). The combination of both full text and controlled vocabularies is often better than either alone, although the size of the advantage is variable (Lancaster, 1986; Markey, Atherton, & Newton, 1982; Srinivasan, 1996). Richer thesauri have also been used to provide synonyms, generalizations, and specializations of users' search terms (see Srinivasan, 1992, for a review). Controlled vocabularies and thesaurus entries can be generated either manually or by the automatic analysis of large collections of texts.
  12. Genereux, C.: Building connections : a review of the serials literature 2004 through 2005 (2007) 0.01 
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    10. 9.2000 17:38:22
  13. Rasmussen, E.M.: Indexing and retrieval for the Web (2002) 0.01 
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    Abstract
    Techniques for automated indexing and information retrieval (IR) have been developed, tested, and refined over the past 40 years, and are well documented (see, for example, Agosti & Smeaton, 1996; BaezaYates & Ribeiro-Neto, 1999a; Frakes & Baeza-Yates, 1992; Korfhage, 1997; Salton, 1989; Witten, Moffat, & Bell, 1999). With the introduction of the Web, and the capability to index and retrieve via search engines, these techniques have been extended to a new environment. They have been adopted, altered, and in some Gases extended to include new methods. "In short, search engines are indispensable for searching the Web, they employ a variety of relatively advanced IR techniques, and there are some peculiar aspects of search engines that make searching the Web different than more conventional information retrieval" (Gordon & Pathak, 1999, p. 145). The environment for information retrieval an the World Wide Web differs from that of "conventional" information retrieval in a number of fundamental ways. The collection is very large and changes continuously, with pages being added, deleted, and altered. Wide variability between the size, structure, focus, quality, and usefulness of documents makes Web documents much more heterogeneous than a typical electronic document collection. The wide variety of document types includes images, video, audio, and scripts, as well as many different document languages. Duplication of documents and sites is common. Documents are interconnected through networks of hyperlinks. Because of the size and dynamic nature of the Web, preprocessing all documents requires considerable resources and is often not feasible, certainly not an the frequent basis required to ensure currency. Query length is usually much shorter than in other environments-only a few words-and user behavior differs from that in other environments. These differences make the Web a novel environment for information retrieval (Baeza-Yates & Ribeiro-Neto, 1999b; Bharat & Henzinger, 1998; Huang, 2000).
  14. Corbett, L.E.: Serials: review of the literature 2000-2003 (2006) 0.01 
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    10. 9.2000 17:38:22

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  • a 14
  • b 4

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