CFP: Journal of Web Semantics: Special Issue on Stream Processing

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   CFP: Journal of Web Semantics: Special Issue on Stream Processing
   http://www.journals.elsevier.com/journal-of-web-semantics/call-for-papers/special-issue-on-stream-processing/
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*Deadlines*:
  - Submission deadline: 1st July, 2015 (23:59 Hawaii Standard Time)
  - Paper acceptance notification: 30th September, 2015
  - Publication: First quarter, 2016

  Processing data streams is one of the main challenges facing today’s
  decentralised and distributed systems, given the high dynamicity,
  heterogeneity and volume of real-time data generated by contemporary IT
  infrastructures. The application domains where streams play a central
  role include social networks, smart cities, mobile wearable sensors,
  internet of things, environmental monitoring and stock market analysis,
  to name just a few. All these streams of data, or infinite flows of
  information, already exist and are available in pervasive and
  ubiquitous data-rich environments. However it remains difficult and
  challenging to effectively process, query and derive results from them.
  In the area of databases, these research challenges led to the
  emergence of data stream and complex event processing systems,
  including data models, query languages, algebra and operational
  semantics for them. Nevertheless, research opportunities in this area
  are far from being exhausted. The imminent realization of the Internet
  of Things and the abundance of new sources of streaming data raise a
  set of new challenges, especially dealing with the variety and
  heterogeneity of the data. Clear foundations are required to solve
  problems such as data integration and real-time analytics, added to the
  need for better understanding the meaning and the value of streaming
  data on the web. Several attempts have been made to approach some of
  these challenges using the theoretical foundations and the tools of
  Semantic Web research. These works have resulted in systems that tackle
  different issues, including continuous query processing, stream
  reasoning, event detection, ontology maintenance or ontology-based data
  access.

The goal of this special issue is to provide a grounding for research on
recent advances in stream processing and their underlying semantic
technologies. Traditional challenges of scalability, information
quality, and data integration are of interest, but also are specific
projects that publish, study, or use data streams in innovative ways.
More specifically, we expect submissions on (but not restricted to) the
following topics.

      Processing RDF Data Streams
         Producing and consuming streams of RDF graphs
         Modelling streams of structured data
         Theoretical modelling of RDF streams
         Automatic annotation of raw data streams
         Processing noisy data, uncertainty, incomplete information
         Semantic mining of RDF data streams
         Mechanisms for integrating historical data with streaming data
         Publishing Linked Stream Data
     Querying semantic streams of data
         Extensions to SPARQL for data streams
         Complex event processing on semantic data
         Ontology-based data access to data streams
         Data dynamics, update, and synchronization
         Optimisation of stream query processing
         Correctness of stream query processing
         Synthetic RDF streams and benchmarking
     Reasoning with data streams
         New stream reasoning algorithms
         Incremental reasoning on dynamic ontologies
         Temporal logics for reasoning over Semantic streams
         Multicore scalable stream reasoning
     Applications of stream processing
         Semantic sensor networks
         Social network streams and microposts
         Stream processing in the Internet of Things
         Smart cities
         Activity streams
         Gamification

Guest Editors

Monika Solanki, Aston University,m.solanki@aston.ac.uk
Jean-Paul Calbimonte, EPFL,jean-paul.calbimonte@epfl.ch

Submission guidelines

The Journal of Web Semantics solicits original scientific contributions
of high quality. Following the overall mission of the journal, we
emphasize the publication of papers that combine theories, methods and
experiments from different subject areas in order to deliver innovative
semantic methods and applications. The publication of large-scale
experiments and their analysis is also encouraged to clearly illustrate
scenarios and methods that introduce semantics into existing Web
interfaces, contents and services.

Submission of your manuscript is welcome provided that it, or any
translation of it, has not been copyrighted or published and is not
being submitted for publication elsewhere. Manuscripts should be
prepared for publication in accordance with instructions given in the
JWS guide for authors. The submission and review process will be carried
out using Elsevier's Web-based EES system. To ensure that all
manuscripts are correctly identified for inclusion into the special
issue, it is important that authors select "S.I.: Stream Processing" at
the "Article Type" step in the submission process.

Upon acceptance of an article, the author(s) will be asked to transfer
copyright of the article to the publisher. This transfer will ensure the
widest possible dissemination of information. Elsevier's liberal
preprint policy permits authors and their institutions to host preprints
on their web sites. Preprints of the articles will be made freely
accessible on the JWS preprint server. Final copies of accepted
publications will appear in print and at Elsevier's archival online
server.