Big Data calls for papers / publications

Call for Papers Using Massively Parallel Sequencing Technology for The Journal of Pathology

The Journal of Pathology is now soliciting submissions of primary research based on massively parallel sequencing taking advantage of novel insights into the genetic basis of human diseases, including the identification of new genotype-phenotype associations and novel driver mutations, characterisation of patterns of genetic instability, and on the topic of intra-tumour genetic heterogeneity.

Such submissions should report studies the use of massively parallel sequencing technology to address important questions in the pathobiology of disease. Manuscripts should offer new approaches to considering such data, clinically relevant findings and/or functional insights with validation. Timely reviews and perspectives would also be considered.

Call for Papers for a Special Issue of the Semantic Web Journal: Big Data and the Semantic Web

The Semantic Web journal calls for innovative and high-quality papers describing the role of Semantic Web technologies, Linked Data, and ontologies for the Big Data age. Papers should clearly relate to one or more of the Big Data V's Volume, Variety, and Velocity, as well as demonstrate the added value of semantics. Besides theoretical contributions on reasoning over massive amounts of heterogeneous data and challenges for knowledge representation and interlinkage, we especially also invite reports from domain scientists detailing the use of ontologies and Semantic Web technologies in bioinformatics, geographic information science, life sciences, cultural heritage research, the digital humanities, and other research areas.

We welcome all paper categories, i.e., full research papers, application reports, systems and tools, ontology papers, surveys, as well as dataset reports as long as they clearly relate to challenges and opportunities arising from processing Big Data - see our listing of paper types in the author guidelines http://www.semantic-web-journal.net/authors

Topics include but are not limited to

Semantic search and information seeking
Exploratory interfaces for massive amounts of annotated data
Intelligent information interchange
Semantic interoperability and heterogeneity
Inductive and abductive approaches to ontology learning
Handling uncertainty, vagueness, and inconsistencies
Knowledge discovery from linked data
Collaborative Ontology engineering
Microtheories and knowledge patterns
Ontology modularization
Ontology evolution
Ontology alignment, matching, and translation
Analogy and similarity reasoning and retrieval
Sensor semantics and smart dust
Stream reasoning
Distributed reasoning
Semantics-based data aggregation and generalization
Semantically enabled statistics
Massive data integration for the digital earth
Linked science
The User as knowledge engineer
Semantics and decision support systems
Semantics-driven integrity constraint checking
Mining the Social and Mobile Web
Ontology-driven data visualization
Trust and privacy issues in publishing and reasoning about Big Data
Dialog and question answering systems based on Linked Data and ontologies

Important Dates
Manuscript submission due: 30th of June 2012
First notification: 7th of September 2012
Issue publication: Spring 2013

Submissions
The special issue on Big Data and the Semantic Web calls for original high-quality research on any of the above mentioned topics. Authors are requested to follow the author guidelines, submit online as detailed in the author guidelines, and include the name of the call within the submission letter. All manuscripts will be reviewed based on the SWJ open and transparent review policy and will be made available during online the review process.

Call for Papers for a Special Issue of Future Generation Computer Systems: Extreme Scale Parallel Architectures and Systems

This special issue invites submissions from researchers working on Experimental Infrastructures for Exascale Research and Development. Work in this area includes investigation of experimental components and systems for extreme-scale, simulation methods and tools targeting extreme scale, benchmarking, application characterisation workload generation tools, and other related experimental systems and methods.

Submissions are encouraged on disruptive approaches to address the challenges of research and development for systems that do not exist as-of-yet. Another aspect of equal importance is the creation of a palette of scientific methods and experimental infrastructures (in software and/or hardware) to evaluate novel ideas (technologies, algorithms, systems). Some of the pressing issues that need to be addressed in this context are scalability of experiments, validation/extrapolation of scientific results, and characterization of expected workloads and their synthetic generation. Given the high cost of ownership and the limited access to the top-end of parallel systems, it is important to pursue experimental architectures and systems comprising of off-the-shelf components, configured, modified, or enhanced in such a way that they can provide insight into aspects of exascale systems.

Topics

Topics of interest include, but are not limited to:

Testbed design and evaluation
Experimental clusters/systems targeting extreme scale
Workload generation and benchmarking
Exascale application characterisation
Analytical modelling and simulation of systems
Techniques for extrapolation of experimental results to extreme-scale
Validation of projection/extrapolation techniques
Suitability/adaptability of commercial, off-the-shelf components (COTS)
Cost, energy, performance and resilience
Methodologies and tools
Co-design approaches

Important Dates

Full paper submission deadline: 29 June 2012
Review results and notification of acceptance: 31 August 2012
Final revised paper: 31 October 2012
Publication: February 2013

Guest Editors

Shoukat Ali, Exascale Systems, IBM Research, Ireland (ALISHOU8@ie.ibm.com)
Kostas Katrinis, Exascale Systems, IBM Research, Ireland (katrinisk@ie.ibm.com)
Rolf Riesen, Exascale Systems, IBM Research, Ireland (rolf.riesen@ie.ibm.com)
Georgios Theodoropoulos, Exascale Systems, IBM Research, Ireland (geortheo@ie.ibm.com)

Submission Format

Submissions must be written in English. Papers must contain novel ideas and must differ significantly in content from previously published papers and papers under simultaneous submission. Authors should prepare and submit manuscripts according to the Guide for Authors in the following link: http://www.elsevier.com/wps/find/journaldescription.cws_home/505611/authorinstructions

If you have any questions about paper submission or the special issue, please contact one of the Guest Editors.