Skip to main content

Relevant Query Answering over Streaming and Distributed Data

A Study for RDF Streams and Evolving Web Data

  • Book
  • © 2020

Overview

Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)

Part of the book sub series: PoliMI SpringerBriefs (BRIEFSPOLIMI)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • DEIB, Politecnico di Milano, Milano, Italy

    Shima Zahmatkesh, Emanuele Della Valle

Bibliographic Information

  • Book Title: Relevant Query Answering over Streaming and Distributed Data

  • Book Subtitle: A Study for RDF Streams and Evolving Web Data

  • Authors: Shima Zahmatkesh, Emanuele Della Valle

  • Series Title: SpringerBriefs in Applied Sciences and Technology

  • DOI: https://doi.org/10.1007/978-3-030-38339-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

  • Softcover ISBN: 978-3-030-38338-1Published: 22 January 2020

  • eBook ISBN: 978-3-030-38339-8Published: 21 January 2020

  • Series ISSN: 2191-530X

  • Series E-ISSN: 2191-5318

  • Edition Number: 1

  • Number of Pages: IX, 123

  • Number of Illustrations: 32 b/w illustrations, 1 illustrations in colour

  • Topics: Database Management, Data Engineering, Big Data

Publish with us