Skip to main content
SpringerLink
Log in

Introduction

  • Chapter
  • First Online:
Relevant Query Answering over Streaming and Distributed Data

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

  • 195 Accesses

Abstract

This chapter offers a brief introduction to continuous query evaluation over streaming and distributed data. The motivations behind the research question are illustrated through some examples from Social Media and industrial IoT. They explain the need of combining streaming data with distributed data on the Web in order to answer queries. The aim of this study is to overcome the problem of responding to the queries in a timely fashion in the proposed setting. This research considers different classes of queries and proposes a framework and various algorithms to generate relevant results. This chapter describes the main contributions of the work and focuses on the research questions and the approach followed during the research study. Finally, the layout of the book is presented.

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

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
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

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    A program is reactive if it maintains a continuous interaction with its environment, but at a speed which is determined by the environment, not by the program itself [1]. Real-time programs are reactive, but reactive programs can be non real-time as far as they provide result in time to successfully interact with the environment.

  2. 2.

    https://dev.twitter.com/streaming/reference/get/statuses/sample.

  3. 3.

    https://dev.twitter.com/rest/reference/get/users/lookup.

  4. 4.

    https://www.w3.org/WoT/.

  5. 5.

    http://www.w3.org/TR/sparql11-federated-query/.

References

  1. Berry G (1989) Real time programming: special purpose or general purpose languages. PhD thesis, INRIA

    Google Scholar 

  2. Dehghanzadeh S, Dell’Aglio D, Gao S, Della Valle E, Mileo A, Bernstein A (2015) Approximate continuous query answering over streams and dynamic linked data sets. In: 15th international conference on web engineering, Switzerland, Jun 2015

    Google Scholar 

  3. Della Valle E, Dell’Aglio D, Margara A (2016) Taming velocity and variety simultaneously in big data with stream reasoning: tutorial. In: Proceedings of the 10th ACM international conference on distributed and event-based systems. ACM, pp 394–401

    Google Scholar 

  4. Dell’Aglio D, Calbimonte J-P, Della Valle E, Corcho O (2015) Towards a unified language for rdf stream query processing. In: International semantic web conference. Springer, pp 353–363

    Google Scholar 

  5. Dell’Aglio D, Della Valle E, Calbimonte J-P, Corcho Ó (2014) RSP-QL semantics: a unifying query model to explain heterogeneity of RDF stream processing systems. Int J Semant Web Inf Syst 10(4):17–44

    Google Scholar 

  6. Dwork C, Kumar R, Naor M, Sivakumar D (2001) Rank aggregation methods for the web. In: WWW. ACM, pp 613–622

    Google Scholar 

  7. Yang D, Shastri A, Rundensteiner EA, Ward MO (2011) An optimal strategy for monitoring top-k queries in streaming windows. In: Proceedings of the 14th international conference on extending database technology. ACM, pp 57–68

    Google Scholar 

  8. Zahmatkesh S, Della Valle E, Dell’Aglio D (2016) When a filter makes the difference in continuously answering sparql queries on streaming and quasi-static linked data. In: International conference on web engineering. Springer, pp 299–316

    Google Scholar 

  9. Zahmatkesh S, Della Valle E, Continuous top-k approximated join of streaming and evolving distributed data. Semantic Web. (In press). Available online http://semantic-web-journal.net/content/continuous-top-k-approximated-join-streaming-and-evolving-distributed-data-0#

  10. Zahmatkesh S, Della Valle E, Dell Aglio D (2017) Using rank aggregation in continuously answering sparql queries on streaming and quasi-static linked data. In: Proceedings of the 11th ACM international conference on distributed and event-based systems. ACM, pp 170–179

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DEIB, Politecnico di Milano, Milano, Italy

    Shima Zahmatkesh & Emanuele Della Valle

Authors
  1. Shima Zahmatkesh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Emanuele Della Valle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shima Zahmatkesh .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zahmatkesh, S., Della Valle, E. (2020). Introduction. In: Relevant Query Answering over Streaming and Distributed Data. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-38339-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-38339-8_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38338-1

  • Online ISBN: 978-3-030-38339-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation