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Titlebook: Relevant Query Answering over Streaming and Distributed Data; A Study for RDF Stre Shima Zahmatkesh,Emanuele Della Valle Book 2020 The Auth

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樓主: Clinton
11#
發(fā)表于 2025-3-23 10:37:29 | 只看該作者
Rank Aggregation in Queries with a FILTER Clause,ributed over the Web, the time to access distributed data can put the application at risk of losing reactiveness. Keeping a local replica of the distributed data lets the RSP engines remain reactive. In previous chapters, different maintenance policies are investigated which guarantee reactiveness w
12#
發(fā)表于 2025-3-23 17:23:04 | 只看該作者
Handling Top-k Queries, reactive can be challenging, when accessing the distributed data has high latency and is rate limited. As illustrated in the previous chapters reactiveness of the system can be guaranteed by using a local replica of the distributed data. This chapter introduces the proposed framework for Top-k quer
13#
發(fā)表于 2025-3-23 18:26:53 | 只看該作者
14#
發(fā)表于 2025-3-24 01:10:03 | 只看該作者
15#
發(fā)表于 2025-3-24 04:14:37 | 只看該作者
16#
發(fā)表于 2025-3-24 08:02:10 | 只看該作者
17#
發(fā)表于 2025-3-24 13:14:57 | 只看該作者
18#
發(fā)表于 2025-3-24 17:54:51 | 只看該作者
19#
發(fā)表于 2025-3-24 19:09:32 | 只看該作者
Introduction,osed setting. This research considers different classes of queries and proposes a framework and various algorithms to generate relevant results. This chapter describes the main contributions of the work and focuses on the research questions and the approach followed during the research study. Finally, the layout of the book is presented.
20#
發(fā)表于 2025-3-25 01:37:25 | 只看該作者
Background,duce Top-k Query Answering, and Top-k Query Monitoring over the Data Stream and the related works in these domains. Finally, it offers a review of the metrics used in this study to evaluate the accuracy and relevancy of the answers in the result.
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