- We will send in 10–14 business days.
/images/books/12973024/9783030383381.jpg)
- Author: Shima Zahmatkesh
- Publisher: Springer
- ISBN-10: 3030383385
- ISBN-13: 9783030383381
- Format: 15.6 x 23.4 x 0.7 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Relevant Query Answering Over Streaming and Distributed Data (e-book) (used book) | bookbook.eu
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.20:34:28
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Shima Zahmatkesh
- Publisher: Springer
- ISBN-10: 3030383385
- ISBN-13: 9783030383381
- Format: 15.6 x 23.4 x 0.7 cm, minkšti viršeliai
- Language: English English
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.
Reviews