Information Storage and Retrieval Systems

Theory and Implementation

  • Gerald J. Kowalski
  • Mark T. Maybury

Part of the The Information Retrieval Series book series (INRE, volume 8)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Pages 72-103
  3. Pages 105-137
  4. Pages 165-197
  5. Pages 221-239
  6. Back Matter
    Pages 281-318

About this book

Introduction

Chapter 1 places into perspective a total Information Storage and Retrieval System. This perspective introduces new challenges to the problems that need to be theoretically addressed and commercially implemented. Ten years ago commercial implementation of the algorithms being developed was not realistic, allowing theoreticians to limit their focus to very specific areas. Bounding a problem is still essential in deriving theoretical results. But the commercialization and insertion of this technology into systems like the Internet that are widely being used changes the way problems are bounded. From a theoretical perspective, efficient scalability of algorithms to systems with gigabytes and terabytes of data, operating with minimal user search statement information, and making maximum use of all functional aspects of an information system need to be considered. The dissemination systems using persistent indexes or mail files to modify ranking algorithms and combining the search of structured information fields and free text into a consolidated weighted output are examples of potential new areas of investigation. The best way for the theoretician or the commercial developer to understand the importance of problems to be solved is to place them in the context of a total vision of a complete system. Understanding the differences between Digital Libraries and Information Retrieval Systems will add an additional dimension to the potential future development of systems. The collaborative aspects of digital libraries can be viewed as a new source of information that dynamically could interact with information retrieval techniques.

Keywords

Audio algorithms clustering data structure graphics information information retrieval information visualization multimedia video visualization

Authors and affiliations

  • Gerald J. Kowalski
    • 1
  • Mark T. Maybury
    • 2
  1. 1.Central Intelligence AgencyUSA
  2. 2.The MITRE CorporationUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b116174
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-7923-7924-9
  • Online ISBN 978-0-306-47031-8
  • Series Print ISSN 1387-5264
  • About this book
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