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Ontology Learning for the Semantic Web

  • Book
  • © 2002

Overview

Authors:
  1. Alexander Maedche

    1. University of Karlsruhe, Germany

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Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 665)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxiii
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  2. Fundamentals

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Alexander Maedche
      Pages 3-10

    3. Ontology — Definition & Overview

      • Alexander Maedche
      Pages 11-27

    4. Layered Ontology Engineering

      • Alexander Maedche
      Pages 29-55

  3. Ontology Learning for the Semantic Web

    1. Front Matter

      Pages 57-57
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    2. A Framework for Ontology Learning

      • Alexander Maedche
      Pages 59-79

    3. Data Import & Processing

      • Alexander Maedche
      Pages 81-116

    4. Ontology Learning Algorithms

      • Alexander Maedche
      Pages 117-147

  4. Implementation & Evaluation

    1. Front Matter

      Pages 149-149
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    2. The TEXT-TO-ONTO Environment

      • Alexander Maedche
      Pages 151-170

    3. Evaluation

      • Alexander Maedche
      Pages 171-199

  5. Related Work & Outlook

    1. Front Matter

      Pages 201-201
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    2. Related Work

      • Alexander Maedche
      Pages 203-222

    3. Conclusion & Outlook

      • Alexander Maedche
      Pages 223-227

  6. Back Matter

    Pages 229-244
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Keywords

About this book

Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process.
Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.

Authors and Affiliations

  • University of Karlsruhe, Germany

    Alexander Maedche

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