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Relevant Query Answering over Streaming and Distributed Data: A Study for RDF Streams and Evolving Web Data. 2020 ed.
・ISBN 978-3-030-38338-1 paper EUR 49.99
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| 著者・編者 | Zahmatkesh, Shima / Della Valle, Emanuele, |
|---|---|
| シリーズ | (SpringerBriefs in Applied Sciences and Technology) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 123 pp. |
| 言語 | ENG |
| ニュース番号 | <A01-92643> |
解説
This book examines the problem of relevant query answering over the Web and provides a comprehensive overview of relevant query answering over streaming and distributed data. In recent years, Web applications that combine highly dynamic data streams with data distributed over the Web to provide relevant answers have attracted increasing attention. Answering in a timely fashion, i.e., reactively, is one of the most important performance indicators, especially when the distributed data is evolving. The book proposes a solution that retains a local replica of the distributed data and offers various maintenance policies to refresh the replica over time. A limited refresh budget guarantees the reactiveness of the system. Focusing on stream processing and Semantic Web, it appeals to scientists and graduate students in the field.