co-located with WWW2018 - The Web Conference - 24.04.2018


Applications in different domains require reactive processing of massive, dynamically generated streams of data. This trend is increasingly visible also on the Web, where more and more streaming sources are becoming available. These originate from social networks, sensor networks, the Internet of Things (IoT) and many other technologies that use the Web as a platform for sharing data. This has resulted in new Web-centric efforts such as the Web of Things (WoT), which focuses on exposing and describing the IoT resources on the Web; or the Social Web which provides protocols, vocabularies, and APIs to facilitate access to social communications and interactions on the Web.

Several challenges arise in this context, including the opportunity of performing data analytics over Web streams. This requires the necessity of integrating heterogeneous Web data, which should be distributed and accessible in a decentralized manner. Some of these challenges have been addressed through emerging efforts like Stream Reasoning and RDF Stream Processing.

While these are relevant examples of research in this domain, there is a growing need to develop flexible and scalable analytical processing for streaming data on the Web, in order to allow decentralized processing, publication and discovery of streaming data, as well as integration mechanisms at Web scale. To achieve this, the expertise from other communities, including stream mining, machine learning and distributed processing can be highly valuable.

This workshop aims at putting together relevant communities in order to discuss and explore holistic processing models for streaming data on the Web. This will include discussions on the issues related to publishing data streams on the Web as well as analysing them with queries and inference processes. The event will contribute to the creation of an active community interested in integrating stream processing, data analytics and and dynamic data reasoning by using methods inspired by data and knowledge management.

Topics of interest

Topics include, but are not limited to:

  • Publishing and using data streams on the Web
  • Data compression algorithms for data stream exchange over the Web
  • Web stream mining
  • Processing and analysis of social Web streams
  • WoT enabled applications
  • Environmental data streams on the Web
  • Real world data/event discovery from data streams
  • Continuous query answering over data streams in the Web
  • Complex Event Processing for Web data streams
  • Ontological query answering over data streams in the Web
  • Role of parallelization and distribution in Web stream processing
  • Modelling and knowledge representation for data streams
  • Topologies for distributed processing of Web data streams
  • Approximation approaches to processing Web data streams
  • Handling incomplete and noisy Web data streams
  • Time-series data analysis and change/pattern detection for the Web
  • Machine learning over streams of data
  • Implementation and evaluation experiences
  • Noise and anomaly management in the Web streams
  • Applications and proof of concepts
  • Reference datasets and proposals for benchmarks


We will welcome submissions describing ideas, experiments, and application visions related to data streams on the Web. We will encourage short position and short demo papers, as well as longer technical papers.

Submissions should be formatted according to the new ACM format guidelines available at, selecting the generic “sigconf” sample. Papers should not exceed eight pages (including bibliography, diagrams, images and appendices). Paper should be submitted in PDF format, but other formats are welcome upon agreement (please contact the chairs in case). All submissions will be done electronically via the EasyChair Web submission system at (Web Stream Processing workshop track).

At least one author of each accepted paper must register for the workshop. Information about registration will appear soon on the WWW2018 web page.

Important dates

  • Abstract submission deadline: January 15th, 2018 January 24th, 2018
  • Paper submission: January 20th, 2018 January 31st, 2018
  • Author notifications: February 21th, 2018
  • Camera ready version due: March 04th, 2018


  • 9:00 - 9:15 - Welcome and opening
  • 9:00 - 10:15 - Session 1: Web Stream Processing in smart cities
    • 9:15 - 9:35 - Julian Andres Rojas Melendez, Brecht Van de Vyvere, Arne Gevaert, Ruben Taelman, Pieter Colpaert and Ruben Verborgh: A preliminary Open Data publishing strategy for real-time data in Flanders
    • 9:35 - 9:55 - Maria Edo and Payam Barnaghi: Spatio-Temporal Analysis for Smart City Data
    • 9:55 - 10:15 - Mathias De Brouwer, Femke Ongenae, Glenn Daneels, Esteban Municio, Jeroen Famaey, Steven Latré and Filip De Turck: Personalized Real-Time Monitoring of Amateur Cyclists on Low-End Devices: Proof-of-Concept & Performance Evaluation
  • 10:15 - 10:20 - End of the first part
  • 10:20 - 11:00 - Coffee Break
  • 11:00 - 12:15 - Session 2: Web Stream Processing and semantics
    • 11:00 - 11:35 - (Invited talk) Olaf Hartig
    • 11:35 - 11:55 - Danh Le Phuoc: Adaptive Optimisation for Continuous Multi-way Joins over RDF Streams
    • 11:55 - 12:15 - Gustavo Gonçalves: Analysis of Sub-Topic Discovery Algorithms for Real-Time Information Summarization
  • 12:15 - 12:20 - Closing and final remarks

Program committee

  • Muhammad Intizar Ali, Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland
  • Shirin Enshaeifar, University of Surrey, United Kingdom
  • Javier D. Fernández, Vienna University of Economics and Business, Austria
  • Alasdair Gray, Heriot-Watt University, United Kingdom
  • Tobias Grubenmann, University of Zurich, Switzerland
  • Danh Le Phuoc, TU Berlin, Germany
  • Robin Keskisärkkä, Linköping university, Sweden
  • Alessandro Margara, Politecnico di Milano, Italy
  • Andrea Mauri, Delft University of Technology, Netherlands
  • Josiane Xavier Parreira, Siemens AG, Austria


  • Payam Barnaghi, University of Surrey, United Kingdom
  • Jean-Paul Calbimonte, University of Applied Sciences and Arts Western Switzerland HES-SO, Switzerland
  • Daniele Dell’Aglio, University of Zurich, Switzerland