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[CFP] Special Issue on Stream Reasoning @ SWJ

From: Daniele Dell'Aglio <dani.dellaglio@gmail.com>
Date: Wed, 13 Sep 2017 14:10:36 +0200
To: Semantic Web <semantic-web@w3.org>
Message-ID: <fcd5bd5c-013f-fe00-1f5e-6e134177ce25@gmail.com>
In the recent years, there has been an increasing speed and volume of 
data production in several domains, such as Internet of Things, Social 
Networks and Smart Cities. An interesting feature of such data is that 
its utility is often related to time: the sooner the data is processed, 
the higher is the value. Consequently, techniques to process huge 
amounts of heterogeneous streaming data in a continuous fashion are 
getting more and more important.

Data Stream Management Systems and Complex Event Processing provide 
solid foundations for continuously querying and monitoring data streams. 
However, other kinds of processing are desired, such as deductive and 
inductive inference, where domain models provide background knowledge 
and context for the reasoning.

With Stream Reasoning we refer to a research trend that aims at studying 
how to introduce reasoning processes in scenarios involving streams. Up 
to now, we have seen two types of stream reasoning, reasoning over 
streams and reasoning about streams. Reasoning over streams is the 
incremental reasoning over information that is continuously produced and 
made available, typically in the context of a static domain model. 
Reasoning about streams is the reasoning with streams as first class 
entities. Stream Reasoning introduces new challenges with regard to 
traditional reasoning over static or slowly changing data: data is made 
available in a continuous way, possibly from different sources, time is 
a first-class citizen, responsiveness is a key requirement, and deletion 
mechanisms are often required in order to satisfy performance and space 
constraints.

The goal of this special issue is to collect the most recent and 
advanced research on stream reasoning. Both types of stream reasoning 
described above are relevant for this special issue, as well as novel 
proposals for other types of stream reasoning.

Deadline
----------------
Submission deadline: 19 October 2017. Papers submitted before the 
deadline will be reviewed upon receipt.

Topics of Interest
-----------------
Topics include, but are not limited to:
  * Complex Event Processing and Data Stream Management Systems meet 
graph data models
  * Inference with streaming and incremental algorithms
  * Incremental maintenance of materialization of data streams
  * Temporal logics for stream reasoning
  * Data processing for heterogeneous data streams
  * Ontological query answering over data streams
  * Stream reasoning in the context of top-k and aggregate query answering
  * Parallelization and distribution of stream reasoning methods
  * Topologies for distributed processing of data streams
  * Uncertainty and incompleteness in data streams
  * Inconsistency management for stream reasoning
  * Data mining for stream data sources
  * Knowledge Representation for stream and dynamic data
  * Approximation approaches for stream reasoning
  * Event modelling and recognition using Markov Logic Networks.
  * Data compression algorithms for data stream processing
  * APIs and data format for stream exchange
  * Stream reasoning for the Internet of Things
  * Provenance/data quality for data streams
  * Stream reasoning for moving objects/spatial things
  * Proposals for and applications of benchmarks
  * Reports on evaluation of existing solutions
  * Reports on implementation of systems
  * Applications of stream reasoning

Submission instructions
----------------
Submissions shall be made through the Semantic Web journal website at 
http://www.semantic-web-journal.net. Prospective authors must take 
notice of the submission guidelines posted at 
http://www.semantic-web-journal.net/authors.

We welcome three main types of submissions: (i) full research papers, 
(ii) reports on tools and systems and (iii) application reports. The 
description of the submission types is posted at 
http://www.semantic-web-journal.net/authors#types. While there is no 
upper limit, paper length must be justified by content.

Note that you need to request an account on the website for submitting a 
paper. When submitting, please indicate in the cover letter that it is 
for the Special Issue on Stream Reasoning and the chosen submission 
type. All manuscripts will be reviewed based on the SWJ open and 
transparent review policy and will be made available online during the 
review process.

Guest editors
-----------------
  * Daniele Dell'Aglio, University of Zurich, Switzerland
  * Thomas Eiter, TU Vienna, Austria
  * Fredrik Heintz, Linköping University, Sweden
  * Danh Le Phuoc, TU Berlin, Germany

The guest editors can be reached at sr-swj17@sais.se

Guest editorial board
------------------
  * Muhammad Intizar Ali, Insight Centre for Data Analytics, National 
University of Ireland, Galway, Ireland
  * Darko Anicic, SIEMENS, Germany
  * Jean-Paul Calbimonte, HES-SO, University of Applied Sciences Western 
Switzerland, Switzerland
  * Diego Calvanese, Free University of Bozen-Bolzano, Italy
  * Oscar Corcho, Universidad Politécnica de Madrid, Spain
  * Emanuele Della Valle, Politecnico di Milano, Italy
  * Alasdair Gray, Heriot-Watt University, United Kingdom
  * Mark T. Greaves, Pacific Northwest National Laboratory, USA
  * Alessandro Margara, Politecnico di Milano, Italy
  * Alessandra Mileo, Insight Centre for Data Analytics, Dublin City 
University, Ireland
  * Ralf Möller, University of Lübeck, Germany
  * Boris Motik, University of Oxford, United Kingdom
  * Özgür Lütfü Özcep, University of Lübeck, Germany
  * Stefan Schlobach, Vrije Universiteit Amsterdam, Netherlands
  * Monika Solanki, University of Oxford, United Kingdom
  * Kia Teymourian, Rice University
  * Anni-Yasmin Turhan, TU Dresden, Germany
  * Jacopo Urbani, Vrije Universiteit Amsterdam, Netherlands
  * Marcin Wylot, TU Berlin, Germany
  * Guohui Xiao, Free University of Bozen-Bolzano, Italy
  * Michael Zakharyaschev, Birkbeck, University of London, United Kingdom
Received on Wednesday, 13 September 2017 12:11:11 UTC

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