[CfP] Deadline extension: Stream Reasoning Workshop @ ISWC 2016

Stream Reasoning Workshop 2016 (SR2016)

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Co-located with the 15th International Semantic Web Conference (ISWC 2016),

October 17th–18th, 2016 Kobe, Japan

Abstract

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The continuous growth of volume, velocity and variety of data poses new
challenges for their processing, especially when it has to be done in
real-time or near-real time. It happens in many scenarios, such as IoT,
social media analytics and smart cities: highly dynamic flows of
heterogeneous data, supplied by different actors, have to be integrated and
processed to create new knowledge. Reasoning techniques are a possible
solution to cope with the problem of variety in the processing of these
continuous streams of information. Anyway, while reasoners scale up in the
classical, static domain of ontological knowledge, reasoning upon rapidly
changing information has received attention only very recently. The
combination of reasoning techniques with data streams gives rise to Stream
Reasoning, a high impact research area that has already started to produce
results that are relevant for both the semantic and data processing
communities.

Moreover, an observation from the lessons learned on Stream Reasoning in
these years is that the ordering of data over time is just one of the
possible types of orders to harness in optimising the reasoning tasks. We
perceive a trend in the community towards order-aware semantic technologies
in works such as: top-k query answering techniques for Linked Data, SPARQL
query answering on RDF annotated with partially ordered labels, and top-k
ontological query answering in the context of Ontology Based Data Access.

The workshop aims at bringing together this growing and very active
community interested in integrating stream processing, ordering and
reasoning by using methods inspired by data and knowledge management.

Topics of Interest

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Topics include, but are not limited to:

* Inference with streaming algorithms

* Ontological query answering over data streams

* Incremental maintenance of materialization of data streams

* Continuous query answering over data streams

* Ontological top-k query answering over massive ordered data

* Data compression algorithms for data stream processing

* APIs for data stream exchange

* Role of parallelization and distribution in order-aware semantic
technologies

* Topologies for distributed processing of data streams

* Knowledge Representation for ordered facts

* Approximation approaches to inference with streams and orderings

* Stream processing and reasoning for the Internet of Things

* Proposals for and applications of benchmarks

* Implementation and evaluation experiences

* Applications of stream reasoning

Submissions

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We will welcome submissions describing ideas, experiments, and application
visions originating from requirements for, and efforts aimed at,
interleaving ordering and reasoning. We will encourage short position and
short demo papers not exceeding 6 pages as well as longer technical papers
not exceeding 12 pages.

Submissions should be formatted according to the Lecture Notes in Computer
Science guidelines for proceedings available at
http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0. Papers should
be submitted in PDF format. All submissions will be done electronically via
the SR2016 Web submission system (
http://www.easychair.org/conferences/?conf=sr20160).

At least one author of each accepted paper must register for the workshop.
Information about registration will appear soon on the ISWC 2016 Web page.

Proceedings

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The Workshop Proceedings will be published in CEUR Workshop Proceedings.

Important Dates

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* Abstract submission deadline: July 11, 2016

* Paper submission: July 16, 2016

* Author notifications: July 31, 2016

* Camera ready version due: August 21, 2016

Workshop Chairs

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* Daniele Dell’Aglio, Politecnico di Milano, Italy

* Emanuele Della Valle, Politecnico di Milano, Italy

* Thomas Eiter, TU Wien, Austria

* Markus Krötzsch, Technische Universität Dresden, Germany

Program Committee (not definitive)

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* Muhammad Intizar Ali, Insight Centre for Data Analytics, National
University of Ireland, Galway, Ireland

* Darko Anicic, SIEMENS, Germany

* Tara Athan, Athan Services, USA

* Jean-Paul Calbimonte, EPFL, Switzerland

* Oscar Corcho, Universidad Politécnica de Madrid, Spain

* Minh Dao-Tran, TU Wien, Austria

* Alasdair Gray, Heriot-Watt University, United Kingdom

* Andreas Harth, Karlsruhe Institute of Technology, Germany

* Manfred Hauswirth, Technical University of Berlin and Fraunhofer FOKUS,
Germany

* Fredrik Heintz, Linköping University, Sweden

* Danh Le Phuoc, Insight Centre for Data Analytics, National University of
Ireland, Galway, Ireland

* Alessandro Margara, University of Lugano (USI), Switzerland

* Deborah McGuinness, Rensselaer Polytechnic Institute, USA

* Ralf Möller, University of Lübeck, Germany

* Boris Motik, University of Oxford, United Kingdom

* Özgür Lütfü Özcep, University of Lübeck, Germany

* Jeff Z. Pan, University of Aberdeen, United Kingdom

* Josiane Xavier Parreira, SIEMENS, Austria

* Stefan Schlobach, Vrije Universiteit Amsterdam, Netherlands

* Anni-Yasmin Turhan, Technische Universität Dresden, Germany
* Jacopo Urbani, Vrije Universiteit Amsterdam, Netherlands