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.
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