| 書目名稱 | Modeling and Management of Fuzzy Semantic RDF Data |
| 編輯 | Zongmin Ma,Guanfeng Li,Ruizhe Ma |
| 視頻video | http://file.papertrans.cn/637/636128/636128.mp4 |
| 概述 | Applies fuzzy logic to represent and process uncertain semantic data with the Resource Description Framework (RDF).Presents recent advances in fuzzy RDF data modeling and management.Explicitly describ |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2022 |
| 關鍵詞 | Computational Intelligence; Big Data intelligence; Fuzzy Sets; Uncertain Information Management; RDF; Res |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-11669-8 |
| isbn_softcover | 978-3-031-11671-1 |
| isbn_ebook | 978-3-031-11669-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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