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Titlebook: Ontology Learning for the Semantic Web; Alexander Maedche Book 2002 Springer Science+Business Media New York 2002 algorithms.evaluation.kn

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發(fā)表于 2025-3-21 17:57:02 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ontology Learning for the Semantic Web
編輯Alexander Maedche
視頻videohttp://file.papertrans.cn/702/701715/701715.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Ontology Learning for the Semantic Web;  Alexander Maedche Book 2002 Springer Science+Business Media New York 2002 algorithms.evaluation.kn
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
關(guān)鍵詞algorithms; evaluation; knowledge; knowledge discovery; learning; ontology; semantic web
版次1
doihttps://doi.org/10.1007/978-1-4615-0925-7
isbn_softcover978-1-4613-5307-2
isbn_ebook978-1-4615-0925-7Series ISSN 0893-3405
issn_series 0893-3405
copyrightSpringer Science+Business Media New York 2002
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Ontology Learning for the Semantic Web978-1-4615-0925-7Series ISSN 0893-3405
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Data Import & ProcessingAs mentioned in the introduction the Semantic Web can be seen as a Meta-Web that is built on the existing WWW. Ontologies are the key ingredients supporting the generation of the Semantic Web by describing vocabularies that may be instantiated, e.g. for generating metadata about an existing web document.
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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/o/image/701715.jpg
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0893-3405 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.978-1-4613-5307-2978-1-4615-0925-7Series ISSN 0893-3405
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Introductiones based on these descriptions of semantics. These descriptions are seen as a key factor to finding a way out of the growing problems of traversing the expanding Web space, where most Web resources can currently only be found through syntactic matches (e.g., keyword search).
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