Literature-based Discovery

  • Peter Bruza
  • Marc Weeber
Part of the Information Science and Knowledge Management book series (ISKM, volume 15)

Table of contents

  1. Front Matter
    Pages i-xi
  2. General Outlook and Possibilities

    1. Front Matter
      Pages 1-1
    2. Neil R. Smalheiser, Vetle I. Torvik
      Pages 13-22
    3. Jonathan D. Wren
      Pages 39-55
  3. Methodology and Applications

    1. Front Matter
      Pages 73-73
    2. A. K. Sehgal, X. Y. Qiu, P. Srinivasan
      Pages 75-100
    3. M. Yetisgen-Yildiz, W. Pratt
      Pages 101-113
    4. D. Hristovski, C. Friedman, T. C. Rindflesch, B. Peterlin
      Pages 133-152
  4. Back Matter
    Pages 193-196

About this book

Introduction

When Don Swanson hypothesized a connection between Raynaud’s phenomenon and dietary fish oil, the field of literature-based discovery (LBD) was born. During the subsequent two decades a steady stream of researchers have published articles about LBD and the field has made steady progress in laying foundations and creating an identity. LBD is an inherently multi-disciplinary enterprise where collaborations between the information and biomedical sciences are readily encountered. It is the hope and intention that this volume will plant a flag in the ground and inspire new researchers to the LBD challenge.

Keywords

data mining knowledge knowledge discovery knowledge management natural language natural language processing text mining

Editors and affiliations

  • Peter Bruza
    • 1
  • Marc Weeber
    • 2
  1. 1.Queensland University of TechnologyBrisbaneAustralia
  2. 2.RockvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-68690-3
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-68685-9
  • Online ISBN 978-3-540-68690-3
  • Series Print ISSN 1568-1300
  • About this book