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.
Inhaltsverzeichnis zu „Ontology Learning and Population from Text “
Preface-The formal definition of the type of Ontology-Foster consensus within the ontology learning community
- The development of novel algorithms
- Guidelines for ontology engineers
- The description of measures and state-of-the-art in ontology learning from text
- Index.
Bibliographische Angaben
- Autor: Philipp Cimiano
- 2007, 347 Seiten, Maße: 16,7 x 24,3 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 0387306323
- ISBN-13: 9780387306322
Sprache:
Englisch
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