| 书目名称 | Ontology Learning and Population from Text | | 副标题 | Algorithms, Evaluati | | 编辑 | Philipp Cimiano | | 视频video | | | 概述 | Includes the comparison of different methods in order to provide guidelines for ontology engineers.Includes an analysis of the impact of ontology learning for certain applications.Includes supplementa | | 图书封面 |  | | 描述 | .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... . | | 出版日期 | Book 2006 | | 关键词 | algorithms; classification; computer; computer science; knowledge management; learning; ontology; semantic | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-39252-3 | | isbn_softcover | 978-1-4419-4032-2 | | isbn_ebook | 978-0-387-39252-3 | | copyright | Springer-Verlag US 2006 |
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发表于 2025-3-21 18:03:17
