CFP: Journal of Web Semantics: Special Issue on Stream Processing (Submission deadline extended by 2 weeks)

Apologies for cross posting

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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: 15th July, 2015 (23:59 Hawaii Standard Time)
 - Paper acceptance notification: 15th October, 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, University of Oxford, monika.solanki@cs.ox.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.