Intelligent Document Retrieval

Exploiting Markup Structure

  • Udo¬†Kruschwitz

Part of the The Springer International Series On Information Retrieval book series (INRE, volume 17)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Pages 1-19
  3. The Model

  4. Practical Applications

  5. Back Matter
    Pages 181-197

About this book

Introduction

Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all.

Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general.

The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically.

Keywords

DOM Ontologie classification data analysis information retrieval management system

Authors and affiliations

  • Udo¬†Kruschwitz
    • 1
  1. 1.University of EssexColchesterUK

Bibliographic information

  • DOI https://doi.org/10.1007/1-4020-3768-6
  • Copyright Information Springer 2005
  • Publisher Name Springer, Dordrecht
  • eBook Packages Computer Science
  • Print ISBN 978-1-4020-3767-2
  • Online ISBN 978-1-4020-3768-9
  • Series Print ISSN 1387-5264
  • About this book