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Location	Call #	Volume	Status
E-BOOK

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Author	Zahmatkesh, Shima., author. (orcid)0000-0002-7832-0288 https://orcid.org/0000-0002-7832-0288 Author. http://id.loc.gov/vocabulary/relators/aut.
Title	Relevant Query Answering over Streaming and Distributed Data : A Study for RDF Streams and Evolving Web Data / by Shima Zahmatkesh, Emanuele Della Valle.
Edition	First edition 2020.
OCLC	978-3-030-38339-8
ISBN	9783030383398
ISBN/ISSN	10.1007/978-3-030-38339-8 doi
Publisher	Cham : Springer International Publishing : Imprint: Springer, 2020.
Description	IX, 123 pages 33 illustrations, 1 illustrations in color. : online resource.
	text file PDF rda
LC Subject heading/s	Database management.
	EngineeringData processing.
	Big data.
Other Subject heading/s	Database Management. http://scigraph.springernature.com/things/product-market-codes/I18024
	Data Engineering. http://scigraph.springernature.com/things/product-market-codes/T11040
	Big Data. http://scigraph.springernature.com/things/product-market-codes/I29120
Summary	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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ISBN	9783030383398
ISBN/ISSN	10.1007/978-3-030-38339-8 doi
Author	Zahmatkesh, Shima., author. (orcid)0000-0002-7832-0288 https://orcid.org/0000-0002-7832-0288 Author. http://id.loc.gov/vocabulary/relators/aut.
Title	Relevant Query Answering over Streaming and Distributed Data : A Study for RDF Streams and Evolving Web Data / by Shima Zahmatkesh, Emanuele Della Valle.
Publisher	Cham : Springer International Publishing : Imprint: Springer, 2020.

Title

Relevant Query Answering over Streaming and Distributed Data : A Study for RDF Streams and Evolving Web Data / by Shima Zahmatkesh, Emanuele Della Valle.

Author

Zahmatkesh, Shima., author. (orcid)0000-0002-7832-0288 https://orcid.org/0000-0002-7832-0288 Author. http://id.loc.gov/vocabulary/relators/aut.

ISBN	9783030383398
ISBN/ISSN	10.1007/978-3-030-38339-8 doi

Description	IX, 123 pages 33 illustrations, 1 illustrations in color. : online resource.
	text file PDF rda

OCLC	978-3-030-38339-8

Publisher

Cham : Springer International Publishing : Imprint: Springer, 2020.

Summary

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.

E-BOOK

Edition

First edition 2020.