书目名称 | Ontology Learning for the Semantic Web |
编辑 | Alexander Maedche |
视频video | |
丛书名称 | The Springer International Series in Engineering and Computer Science |
图书封面 |  |
描述 | .Ontology Learning for the Semantic Web. explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. .Ontology Learning for the Semantic Web. is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web. |
出版日期 | Book 2002 |
关键词 | algorithms; evaluation; knowledge; knowledge discovery; learning; ontology; semantic web |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4615-0925-7 |
isbn_softcover | 978-1-4613-5307-2 |
isbn_ebook | 978-1-4615-0925-7Series ISSN 0893-3405 |
issn_series | 0893-3405 |
copyright | Springer Science+Business Media New York 2002 |