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Continuous Analytics of Web Streams

Published: 13 May 2019 Publication History

Abstract

This half-day tutorial provides a comprehensive introduction to web stream processing, including the fundamental stream reasoning concepts, as well as an introduction to practical implementations and how to use them in concrete web applications. To this extent, we intend to (1) survey existing research outcomes from Stream Reasoning / RDF Stream Processing that arise in querying, reasoning on and learning from a variety of highly dynamic data, (2) introduce deductive and inductive stream reasoning techniques as powerful tools to use when addressing a data-centric problem characterized both by variety and velocity, (3) present a relevant use-case, which requires to address data velocity and variety simultaneously on the web, and guide the participants in developing a web stream processing application.

References

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Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, and Michael Grossniklaus. 2010. C-SPARQL: a Continuous Query Language for RDF Data Streams. Int. J. Semantic Computing 4, 1 (2010), 3–25.
[2]
Albert Bifet, Ricard Gavaldà, Geoff Holmes, and Bernhard Pfahringer. 2018. Machine Learning for Data Streams with Practical Examples in MOA. MIT Press. https://moa.cms.waikato.ac.nz/book/.
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Jean-Paul Calbimonte, Óscar Corcho, and Alasdair J. G. Gray. 2010. Enabling Ontology-Based Access to Streaming Data Sources. In The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. 96–111.
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Emanuele Della Valle, Stefano Ceri, Frank van Harmelen, and Dieter Fensel. 2009. It’s a Streaming World! Reasoning upon Rapidly Changing Information. IEEE Intelligent Systems 24, 6 (2009), 83–89.
[5]
Emanuele Della Valle, Daniele Dell’Aglio, and Alessandro Margara. 2016. Taming velocity and variety simultaneously in big data with stream reasoning: tutorial. In DEBS. ACM, 394–401.
[6]
Daniele Dell’Aglio, Emanuele Della Valle, Jean-Paul Calbimonte, and Óscar Corcho. 2014. RSP-QL Semantics: A Unifying Query Model to Explain Heterogeneity of RDF Stream Processing Systems. Int. J. Semantic Web Inf. Syst. 10, 4 (2014), 17–44.
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Daniele Dell’Aglio, Emanuele Della Valle, Frank van Harmelen, and Abraham Bernstein. 2017. Stream reasoning: A survey and outlook. Data Science 1, 1-2 (2017), 59–83.
[8]
João Gama, Indre Zliobaite, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014. A survey on concept drift adaptation. ACM Comput. Surv. 46, 4 (2014), 44:1–44:37.
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Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, and Albert Bifet. 2017. A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50, 2 (2017), 23:1–23:36.
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Martin Hirzel, Guillaume Baudart, Angela Bonifati, Emanuele Della Valle, Sherif Sakr, and Akrivi Vlachou. 2018. Stream Processing Languages in the Big Data Era. SIGMOD Record 47, 2 (2018), 29.
[11]
Alessandro Margara, Jacopo Urbani, Frank van Harmelen, and Henri E. Bal. 2014. Streaming the Web: Reasoning over dynamic data. J. Web Sem. 25(2014), 24–44.
[12]
Danh Le Phuoc, Minh Dao-Tran, Josiane Xavier Parreira, and Manfred Hauswirth. 2011. A Native and Adaptive Approach for Unified Processing of Linked Streams and Linked Data. In The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I.
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Riccardo Tommasini, Emanuele Della Valle, Marco Balduini, and Daniele Dell’Aglio. 2016. Heaven: a framework for systematic comparative research approach for RSP engines. In 13th Extended Semantic Web Conference, ESWC 2016, Heraklion, Crete, Greece. 87–92.

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cover image ACM Other conferences
WWW '19: Companion Proceedings of The 2019 World Wide Web Conference
May 2019
1331 pages
ISBN:9781450366755
DOI:10.1145/3308560
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • IW3C2: International World Wide Web Conference Committee

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2019

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Author Tags

  1. RDF Stream Processing
  2. Stream Reasoning
  3. Web Stream Processing

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WWW '19
WWW '19: The Web Conference
May 13 - 17, 2019
San Francisco, USA

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