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Titlebook: Ontology Alignment; Bridging the Semanti Marc Ehrig Book 2007 Springer-Verlag US 2007 Bridging.Data Integration.Gap.Information Systems.Int

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發(fā)表于 2025-3-21 18:21:20 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ontology Alignment
副標(biāo)題Bridging the Semanti
編輯Marc Ehrig
視頻videohttp://file.papertrans.cn/702/701709/701709.mp4
概述Ground-breaking research on ontology alignment.Includes a thorough investigation of the foundations including related work and application scenarios with their respective requirements.Pointers to futu
叢書名稱Semantic Web and Beyond
圖書封面Titlebook: Ontology Alignment; Bridging the Semanti Marc Ehrig Book 2007 Springer-Verlag US 2007 Bridging.Data Integration.Gap.Information Systems.Int
描述.A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become?central to building a world-wide semantic web...Ontology Alignment: Bridging the Semantic Gap. introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains...Designed for practitioners and researchers in industry, Ontology Alignment: Bridging the Semantic Web Gap is also suitable for advanced-level students in computer science and electrical engineering...?.
出版日期Book 2007
關(guān)鍵詞Bridging; Data Integration; Gap; Information Systems; Internet; Language; Machine Learning; Ontology Alignm
版次1
doihttps://doi.org/10.1007/978-0-387-36501-5
isbn_softcover978-1-4419-4104-6
isbn_ebook978-0-387-36501-5Series ISSN 1559-7474
issn_series 1559-7474
copyrightSpringer-Verlag US 2007
The information of publication is updating

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Next Stepsfirst place, will give directions on extending the presented methodology. In specific, it will generalize the ontology alignment approach to general structure alignment. Further, it will allow more complex alignments than the current one-to-one identity alignments.
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FutureThis section will focus on other generally interesting topics around ontology alignment for the near and further future. Finally, some general comments about the theoretic quality that can be achieved will be given.
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https://doi.org/10.1007/978-0-387-36501-5Bridging; Data Integration; Gap; Information Systems; Internet; Language; Machine Learning; Ontology Alignm
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