| 書(shū)目名稱(chēng) | Relevant Query Answering over Streaming and Distributed Data |
| 副標(biāo)題 | A Study for RDF Stre |
| 編輯 | Shima Zahmatkesh,Emanuele Della Valle |
| 視頻video | http://file.papertrans.cn/827/826321/826321.mp4 |
| 叢書(shū)名稱(chēng) | SpringerBriefs in Applied Sciences and Technology |
| 圖書(shū)封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Relevant Query Answering; Rank Aggregation; RSP Engine; Evolving Distributed Data; Streaming Data; Contin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-38339-8 |
| isbn_softcover | 978-3-030-38338-1 |
| isbn_ebook | 978-3-030-38339-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 |
|Archiver|手機(jī)版|小黑屋|
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