Relevant Query Answering over Streaming and Distributed Data
Zahmatkesh, Shima, Della Valle, Emanuele
Produktnummer:
18c84b9522a7674926a12d48ae53c6e1b7
| Autor: | Della Valle, Emanuele Zahmatkesh, Shima |
|---|---|
| Themengebiete: | Big Data Continuous Query Evolving Distributed Data RSP Engine Rank Aggregation Relevant Query Answering Streaming Data |
| Veröffentlichungsdatum: | 22.01.2020 |
| EAN: | 9783030383381 |
| Sprache: | Englisch |
| Seitenzahl: | 123 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Untertitel: | A Study for RDF Streams and Evolving Web Data |
Produktinformationen "Relevant Query Answering over Streaming and Distributed Data"
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.
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