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Ontology Learning and Population from Text

Algorithms, Evaluation and Applications

By Philipp Cimiano

Ontology Learning and Population from Text Cover Image

  • ISBN13: 978-0-3873-0632-2
  • 376 Pages
  • User Level: Professionals
  • Publication Date: December 11, 2006
  • Available eBook Formats: PDF
  • eBook Price: $129.00
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Full Description
In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Table of Contents

Table of Contents

  1. Foreword by Steffen Staab.
  2. Preface
  3. . Preliminaries.
  4. Introduction.
  5. Ontologies.
  6. Ontology Learning from Text.
  7. Basics.
  8. Datasets.
  9. Methods and Applications.
  10. Concept Hierarchy Induction.
  11. Learning Attributes and Relations.
  12. Population.
  13. Applications.
  14. Conclusion.
  15. Contribution and Outlook.
  16. Concluding Remarks.
  17. A Appendix.
  18. References.
  19. Index.
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