Ontology Alignment

Bridging the Semantic Gap

  • Marc Ehrig

Part of the Semantic Web and Beyond book series (ADSW, volume 4)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Introduction and Overview

  3. Foundations

    1. Front Matter
      Pages 9-9
    2. Pages 11-35
    3. Pages 37-43
    4. Pages 45-58
  4. Ontology Alignment Approach

    1. Front Matter
      Pages 59-59
    2. Pages 61-96
    3. Pages 97-142
  5. Implementation and Application

    1. Front Matter
      Pages 143-143
    2. Pages 145-155
  6. Towards Next Generation Semantic Alignment

    1. Front Matter
      Pages 183-183
    2. Pages 185-195
    3. Pages 197-202
    4. Pages 203-208
  7. Back Matter
    Pages 209-247

About this book


A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web.

Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains.

Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering.


Bridging Data Integration Gap Information Systems Internet Language Machine Learning Ontology Alignment Peer Peer-to-peer Semantic Semantic Web

Authors and affiliations

  • Marc Ehrig
    • 1
  1. 1.University of KarlsruheKarlsruheGermany

Bibliographic information