Modeling and management of fuzzy semantic RDF data [electronic resource]

• 作者： Ma, Zongmin.
• 其他作者：
  • Li, Guanfeng.
  • Ma, Ruizhe.
  • SpringerLink (Online service)
• 其他題名：
  • Studies in computational intelligence ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Studies in computational intelligence,v. 1057
• 主題： Database management. , Fuzzy systems. , RDF (Document markup language) , Computational intelligence. , Semantic computing. , Computational Intelligence. , Data Engineering. , Artificial Intelligence.
• ISBN： 9783031116698 (electronic bk.) 、 9783031116681 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: RDF Data and Management -- Fuzzy Sets and Fuzzy Database Modeling -- Fuzzy RDF Modeling -- Persistence of Fuzzy RDF and Fuzzy RDF Schema -- Fuzzy RDF Queries.
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• 摘要註: This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.
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