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RDF Stream Processing Workshop at ESWC 2017

2nd RDF Stream Processing Workshop

In conjunction with the 14th Extended Semantic Web Conference (ESWC 2017)

May 28 or 29th, 2017 in Portoroz, Slovenia

Format Submissions Important dates Organizers Programme Programme Committee

Motivation

Data streams are an increasingly prevalent source of information in a wide range of domains and applications, e.g. environmental monitoring, disaster response, or smart cities. The RDF model is based on a traditional persisted-data paradigm, where the focus is on maintaining a bounded set of data items in a knowledge base. This paradigm does not fit the case of data streams, where data items flow continuously over time, forming unbounded sequences of data. To date several stream processing engines have been proposed to enable such applications and the semantic web community have been active in this area. However, each has defined its own extensions to RDF for modelling streaming data and query language.
In this context, the W3C RDF Stream Processing (RSP) Community Group has taken the task to explore the existing technical and theoretical proposals that incorporate streams to the RDF model, and to its query language, SPARQL. In this context, the RSP Group is fostering a community to define a common, but extensible core model for RDF stream processing. This core model can serve as a starting point for RSP engines to be able to talk to each other and interoperate.
The goal of this workshop is to bring together interested members of the community to:

  • Demonstrate their latest advances in stream processing systems for RDF.
  • Foster discussion for proposing novel RDF stream processing techniques and language extensions, including Complex Event Processing as well as stream reasoning and machine learning over streams.
  • Involve and attract people from related research areas to actively participate in the RSP Community.
  • Discuss and propose usage of RSP in different application domains, including IoT, smart cities, social networks and personalized health, among others.

Format

The workshop will provide a forum for the growing community to discuss challenges, current solutions and ideas in RDF stream processing. As such it will mainly consist of both research and technical slots on topics such as complex event processing, query language extensions, and efficient execution approaches for RDF data. There will be a research (short talks) session and a show-and-tell (demo) session where the developers of RDF stream processing engines can showcase their latest achievements. Moreover, we also invite application developers to show off their latest uses, extensions, or enhancements of existing engines. Feedback from developers, who use current engines, is highly valuable to advance the state of the art of the community.
Additionally, the workshop will feature a panel discussion where key members of the community will lead a discussion on future perspectives and challenges. We also anticipate a session focused on implementation and deployment issues in RSP systems, with the goal of discussing existing initiatives which may interoperate leveraging the agreed RDF stream models presented by the W3C RSP group.

Submission Instructions

The main aim of the workshop is to foster new ideas and perspectives on RDF stream processing from related research areas, and facilitate growth and discussion of the W3C RSP Community Group. For this reason, we encourage both research and show-and-tell contributions. Submissions might be:

  • Short Papers up to 10 pages, relevant to the topics of the workshop and to the RSP community. Longer papers are also accepted.
  • A demo or RSP system for the show-and-tell session, including a max 5 pages description and how it fits in the RSP spectrum.

Submissions will be managed through EasyChair using the following URL: https://easychair.org/conferences/?conf=rsp2017

Important dates

Abstract deadline: March 12, 2017 (extended) 23:58 AOE
Submissions deadline: March 19, 2017 (extended) 23:58 AOE
Notification of acceptance: April 7, 2017
Workshop days: Sunday May 28th or 29th, 2017

Organizers

Jean-Paul Calbimonte, HES-SO, University of Applied Sciences Western Switzerland
Minh Dao-Tran, Vienna University of Technology, Austria
Daniele Dell’Aglio, University of Zurich, Switzerland
Danh Le Phuoc, Technical University of Berlin, Germany

Programme

  • 09:15 – 09:30 Welcome, workshop introduction
  • 09:30 – 10:30 Keynote: “Stream Reasoning and Linked Data: A Clash of Cultures” (Andreas Harth)
    • Abstract: Both Stream Reasoning and Linked Data can be used to access, process, integrate and query dynamical data.  However, the different approaches have different underlying assumptions regarding data access protocol, data modelling, representation of time and types of queries.  For example, while Linked Data assumes a resource-centric representation of the state of the resource, stream processing systems often assume an event-centric view.  The different architectural philosophies make interoperation between both approaches challenging.  The talk provides a list and classification of the assumptions behind both approaches and suggests ways to bridge the differences on a conceptual level.  The talk further provides lessons learned from integrating dynamical data in industrial settings as part of the i-VISION and ARVIDA projects.
    • Bio of Keynote Speaker:  PD Dr. Andreas Harth is a post-doctoral researcher (Akademischer Rat) at Institute AIFB at the Karlsruhe Institute of Technology (KIT) in Germany. His research interests are large-scale data interoperation on the Semantic Web, Linked Data, knowledge representation, computational logic and user interaction on web data. Andreas has published several dozen papers in these areas, and is author of a number of open source software systems. Recently, he has become interested in (RESTful) architectures for cyber-physical systems (e.g., smart energy grids, surgery systems, mixed-reality systems).
      Andreas was awarded his Ph.D. by the Digital Enterprise Research Institute (DERI) at the National University of Ireland, Galway. Andreas worked as intern at Fraunhofer Gesellschaft in Würzburg and at IBM’s Silicon Valley Lab in San Jose, CA. His Diplom thesis was carried out in collaboration with Centro Politécnico Superior at Universidad de Zaragoza, Spain. He visited USC’s Information Sciences Institute in Marina del Rey, CA as a research assistant.
      Andreas has participated in numerous EU and national projects and was active in W3C working groups. In addition, he served as program committee member of numerous conferences and was one of the co-organisers of the Consuming Linked Data (COLD) workshop series and of the Semantic Web Challenge.
  • 10:30 – 11:00 Coffee Break
  • 11:00 – 11:25 SLD Revolution: A Cheaper, Faster yet more Accurate Streaming Linked Data Framework (Marco Balduini, Riccardo Tommasini and Emanuele Della Valle)
  • 11:25 – 11:50 C-GeoSPARQL: streaming GeoSPARQL support on C-SPARQL (Alexander Dejonghe, Femke Ongenae and Filip De Turck)
  • 11:50 – 12:15 Towards an Expressive Stream Reasoning Benchmark (Riccardo Tommasini, Marco Balduini and Emanuele Della Valle)
  • 12:15 – 12:30 Discussion of future directions of RDF Stream Processing and wrap-up

Programme Committee

Patrik Schneider, SIEMENS
Kia Teymourian, Rice University
Srdan Krstic, ETHZ
Oscar Corcho, Universidad Politécnica de Madrid
Javier D. Fernández Vienna University of Economics & Business
Emanuele Della Valle, DEIB, Politecnico di Milano
Alasdair JG Gray, Heriot-Watt University
Femke Ongenae, Ghent University
Özgür Özcep, Institute of Information Systems, University of Lübeck
Le Tuan Anh, INSIGHT, NUI Galway
Marcin Wylot, TU Berlin
Shen Gao, University of Zurich
Muhammad Intizar Ali, INSIGHT, NUI Galway
Monika Solanki, University of Oxford

 

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