Quality-Driven Query Answering for Integrated Information Systems

  • Felix┬áNaumann

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2261)

Table of contents

  1. Front Matter
    Pages I-X
  2. Querying the Web

  3. Information Quality

  4. Quality-Driven Query Answering

  5. Discussion

    1. Pages 153-157
  6. Back Matter
    Pages 159-166

About this book

Introduction

The Internet and the World Wide Web (WWW) are becoming more and more important in our highly interconnected world as more and more data and information is made available for online access. Many individuals and governmental, commercial, cultural, and scientific organizations increasingly depend on information sources that can be accessed and queried over the Web. For example, accessing flight schedules or retrieving stock information has become common practice in todays world. When accessing this data, many people assume that the information accessed is accurate and that the data source can be accessed reliably. These two examples clearly demonstrate that not only the information content is important, the information about the quality of the data becomes an even more crucial and critical aspect for individuals and organizations when they make plans or take decisions based on the results of their queries. More precisely, having access to information of known quality becomes critical for the well-being and indeed for the functioning of modern industrialized societies. Surprisingly, despite the urgent need for clear concepts and techniques to judge and value quality and for technology to use such (meta) information, very few scientific results are known and available. Few approaches are known to use quality measures for accessing and querying information over the Web. Only a limited number of products on the IT market address this burning problem.

Keywords

Database Queries Distributed Information Systems Information Completeness Information Quality Information Querying Information Retrieval Internet Quality-Driven Query Planning Query planning Web Information Quality Web Queries Web Searching algorithms database information system

Editors and affiliations

  • Felix┬áNaumann
    • 1
  1. 1.IBM Almaden Research CenterSan JoseUSA

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-45921-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2002
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-43349-1
  • Online ISBN 978-3-540-45921-7
  • Series Print ISSN 0302-9743
  • About this book