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Schema Matching and Mapping

  • Zohra Bellahsene
  • Angela Bonifati
  • Erhard Rahm

Part of the Data-Centric Systems and Applications book series (DCSA)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Large-Scale and Knowledge-Driven Schema Matching

    1. Front Matter
      Pages 1-2
    2. Sean M. Falconer, Natalya F. Noy
      Pages 29-51
    3. Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
      Pages 75-108
  3. Quality-Driven Schema Mapping and Evolution

    1. Front Matter
      Pages 109-110
    2. Angela Bonifati, Giansalvatore Mecca, Paolo Papotti, Yannis Velegrakis
      Pages 111-147
    3. Michael Hartung, James Terwilliger, Erhard Rahm
      Pages 149-190
    4. Ronald Fagin, Phokion G. Kolaitis, Lucian Popa, Wang-Chiew Tan
      Pages 191-222
    5. Rachel Pottinger
      Pages 223-249
  4. Evaluating and Tuning of Matching Tasks

    1. Front Matter
      Pages 251-251
    2. Zohra Bellahsene, Angela Bonifati, Fabien Duchateau, Yannis Velegrakis
      Pages 253-291
    3. Zohra Bellahsene, Fabien Duchateau
      Pages 293-316
  5. Back Matter
    Pages 317-320

About this book

Introduction

Requiring heterogeneous information systems to cooperate and communicate has now become crucial, especially in application areas like e-business, Web-based mash-ups and the life sciences. Such cooperating systems have to automatically and efficiently match, exchange, transform and integrate large data sets from different sources and of different structure in order to enable seamless data exchange and transformation.

The book edited by Bellahsene, Bonifati and Rahm provides an overview of the ways in which the schema and ontology matching and mapping tools have addressed the above requirements and points to the open technical challenges. The contributions from leading experts are structured into three parts: large-scale and knowledge-driven schema matching, quality-driven schema mapping and evolution, and evaluation and tuning of matching tasks. The authors describe the state of the art by discussing the latest achievements such as more effective methods for matching data, mapping transformation verification, adaptation to the context and size of the matching and mapping tasks, mapping-driven schema evolution and merging, and mapping evaluation and tuning. The overall result is a coherent, comprehensive picture of the field.

With this book, the editors introduce graduate students and advanced professionals to this exciting field. For researchers, they provide an up-to-date source of reference about schema and ontology matching, schema and ontology evolution, and schema merging.

Keywords

Data integration Ontology matching Query processing Relational Databases Schema matching and mapping Schema merging and evolution

Editors and affiliations

  • Zohra Bellahsene
    • 1
  • Angela Bonifati
    • 2
  • Erhard Rahm
    • 3
  1. 1.LIRMM CNRS/Univ. Montpellier 2MontpellierFrance
  2. 2.Consiglio Nazionale delle Ricerche (CNR)RendeItaly
  3. 3.Inst. InformatikUniversität LeipzigLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-16518-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-16517-7
  • Online ISBN 978-3-642-16518-4
  • Buy this book on publisher's site