Search (4 results, page 1 of 1)

  • × classification_ss:"ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme"
  1. Meadow, C.T.: Text information retrieval systems (1992) 0.02
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    Abstract
    This book's purpose is to teach people who will be searching or designing text retrieval systems how the systems work. For designers, it covers problems they will face and reviews currently available solutions to provide a basis for more advanced study. For the searcher its purpose is to describe why such systems work as they do. Text Information Retrieval Systems, Second Edition is primarily about computer-based retrieval systems, but the principles apply to non-mechanized ones as well. - Winner of the ASIS Best Information Science Book Award 2000!
    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  2. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.01
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    Date
    22. 4.2007 10:07:51
  3. Rijsbergen, C.J. van: Information retrieval (1979) 0.01
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    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  4. Blair, D.C.: Language and representation in information retrieval (1991) 0.01
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    Abstract
    Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.