Flexible Databases Supporting Imprecision and Uncertainty

  • Gloria Bordogna
  • Giuseppe Psaila

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 203)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Database Models and Query Languages

    1. Front Matter
      Pages I-XV
    2. Antonio Rosado, Rita A. Ribeiro, Slawomir Zadrozny, Janusz Kacprzyk
      Pages 3-53
    3. Stefan Fischer, Werner Kießling, Timotheus Preisinger
      Pages 91-121
  3. Database Integration

  4. Semistructured Data Management

    1. Front Matter
      Pages I-XV
    2. Matteo Magnani, Danilo Montesi
      Pages 221-239
    3. Sara Comai, Stefania Marrara, Letizia Tanca
      Pages 241-265
  5. Spatial Databases

    1. Front Matter
      Pages I-XV
    2. Hykel Hosni, Maria Vittoria Masserotti, Chiara Renso
      Pages 269-291
    3. Arta Dilo, Pieter Bos, Pawalai Kraipeerapun, Rolf A. de By
      Pages 293-321
    4. Gloria Bordogna, Marco Pagani, Giuseppe Psaila
      Pages 323-346

About this book

Introduction

This volume collects selected contributions on the application of heterogeneous methods for managing uncertainty and imprecision in databases. It contains both survey chapters on classic topics such as "flexible querying in databases", and up to date ontributions
on "database models to represent imperfect data". Further, it includes specific contributions on uncertainty management in database integration, and in representing and
querying semistructured and spatial data. These topics are of particular relevance nowadays with the diffusion of the internet since, most of the time, applications require information spread across several information sources and their integration may result in inconsistent information. Semistructured information querying often calls for the application of approximate matching techniques, and spatial information is often incomplete and imprecise. Reading this volume can serve as a guide to students for having a panoramic view of the methods to manage uncertainty and imprecision in databases proposed so far, to researchers to focus on the most up to date research trends, and to practitioners for having examples in which current databases incorporate flexible functionalities for the management of uncertainty and imprecision.

Keywords

Data Fusion Internet Soft Computing XML database databases fuzzy information system model modeling query processing relational database spatial database spatial information uncertainty

Editors and affiliations

  • Gloria Bordogna
    • 1
  • Giuseppe Psaila
    • 2
  1. 1.CNR IDPANational Research Council of Italy Institute for the Study of Environmental Process DynamicsDalmineItaly
  2. 2.Faculty of EngineeringUniversity of BergamoDalmineItaly

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-33289-8
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-33288-6
  • Online ISBN 978-3-540-33289-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book