Ontology Learning and Population from Text
Author | : Philipp Cimiano |
Publisher | : Springer Science & Business Media |
Total Pages | : 362 |
Release | : 2006-12-11 |
ISBN-13 | : 9780387392523 |
ISBN-10 | : 0387392521 |
Rating | : 4/5 (21 Downloads) |
Download or read book Ontology Learning and Population from Text written by Philipp Cimiano and published by Springer Science & Business Media. This book was released on 2006-12-11 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.