Search (5 results, page 1 of 1)

  • × theme_ss:"Informationsdienstleistungen"
  • × theme_ss:"Suchtaktik"
  • × type_ss:"a"
  1. McCrank, L.J.: Reference expertise : paradigms, strategies, and systems (1993) 0.01 
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    Abstract
    Past trends in reference instruction, query analysis and proloferation of reference tools classed by primary functions into a general typology anticipated the use of paradigm logic, templates, search strategies, and systematic searching in applied Artificial Intelligence research and design of expert system, especially referral and decision-support systems. The approach, methodologies, and technique employed in basic reference and subject-area reference instruction in four graduate library schools, developed first at the University of Maryland after 1976, are reviewed. The advantages and limitations of the latter are discussed to suggest the interplay of personal service, manual tools, and computerized systems for holistic reference programs. Librarians' transition to the automated tools using AI methods might be improved by introducing paradigms, typologies, strategies, and a systems approach in reference instruction for professionals and more generally in bibliographic instruction
  2. Xie, I.: Information searching and search models (2009) 0.01 
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    Abstract
    Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
  3. Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005) 0.00 
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    Date
    10. 4.2005 14:52:22
  4. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.00 
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    Date
    2. 7.2005 12:22:50
  5. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35

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