Ontology Learning and Population from Text
Algorithms, Evaluation and Applications
(Sprache: Englisch)
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...
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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.
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.
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.
Inhaltsverzeichnis zu „Ontology Learning and Population from Text “
- Foreword by Steffen Staab- Preface
- Preliminaries
- Introduction
- Ontologies
- Ontology Learning from Text
- Basics
- Datasets
- Methods and Applications
- Concept Hierarchy Induction
- Learning Attributes and Relations
- Population
- Applications
- Conclusion
- Contribution and Outlook
- Concluding Remarks
- A Appendix
- References
- Index
Bibliographische Angaben
- Autor: Philipp Cimiano
- 2010, Softcover reprint of hardcover 1st ed. 2006, XXVIII, 347 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1441940324
- ISBN-13: 9781441940322
Sprache:
Englisch
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