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Relevant query answering over stream...

Zahmatkesh, Shima.

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Relevant query answering over streaming and distributed data = a study for RDF streams and evolving web data /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Relevant query answering over streaming and distributed data/ by Shima Zahmatkesh, Emanuele Della Valle.
Reminder of title:	a study for RDF streams and evolving web data /
Author:	Zahmatkesh, Shima.
other author:	Della Valle, Emanuele.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	ix, 123 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Semantic computing. -
Online resource:	https://doi.org/10.1007/978-3-030-38339-8
ISBN:	9783030383398

Relevant query answering over streaming and distributed data = a study for RDF streams and evolving web data /
Zahmatkesh, Shima.

Relevant query answering over streaming and distributed dataa study for RDF streams and evolving web data /[electronic resource] :by Shima Zahmatkesh, Emanuele Della Valle. - Cham :Springer International Publishing :2020. - ix, 123 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology, PoliMI SpringerBriefs. - SpringerBriefs in applied sciences and technology.PoliMI SpringerBriefs..

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.

ISBN: 9783030383398

Standard No.: 10.1007/978-3-030-38339-8doiSubjects--Topical Terms:

1067496
Semantic computing.

LC Class. No.: QA76.5913 / .Z34 2020

Dewey Class. No.: 006

Relevant query answering over streaming and distributed data = a study for RDF streams and evolving web data /
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100 1 $a Zahmatkesh, Shima. $3 3447071
245 1 0 $a Relevant query answering over streaming and distributed data $h [electronic resource] : $b a study for RDF streams and evolving web data / $c by Shima Zahmatkesh, Emanuele Della Valle.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a ix, 123 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, PoliMI SpringerBriefs
520 $a 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.
650 0 $a Semantic computing. $3 1067496
650 0 $a Querying (Computer science) $3 625110
650 1 4 $a Database Management. $3 891010
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Big Data. $3 3134868
700 1 $a Della Valle, Emanuele. $3 3447072
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a SpringerBriefs in applied sciences and technology. $p PoliMI SpringerBriefs. $3 2072542
856 4 0 $u https://doi.org/10.1007/978-3-030-38339-8
950 $a Computer Science (Springer-11645)