Relevant Query Answering over Streaming and Distributed Data
A Study for RDF Streams and Evolving Web Data
Authors: Zahmatkesh, Shima, Della Valle, Emanuele
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- About this book
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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.
- Table of contents (7 chapters)
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Introduction
Pages 1-7
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Background
Pages 9-25
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ACQUA: Approximate Continuous Query Answering in RSP
Pages 27-39
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Handling Queries with a FILTER Clause
Pages 41-54
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Rank Aggregation in Queries with a FILTER Clause
Pages 55-73
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Table of contents (7 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Relevant Query Answering over Streaming and Distributed Data
- Book Subtitle
- A Study for RDF Streams and Evolving Web Data
- Authors
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- Shima Zahmatkesh
- Emanuele Della Valle
- Series Title
- PoliMI SpringerBriefs
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- The Author(s), under exclusive license to Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-38339-8
- DOI
- 10.1007/978-3-030-38339-8
- Softcover ISBN
- 978-3-030-38338-1
- Series ISSN
- 2282-2577
- Edition Number
- 1
- Number of Pages
- IX, 123
- Number of Illustrations
- 32 b/w illustrations, 1 illustrations in colour
- Topics
