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# JOURNAL ON DATA SEMANTICS
## SPECIAL ISSUE: BIG DATA SEMANTICS
https://homes.di.unimi.it/ceravolo/Call-BDS-JDS.pdf
### Call for papers
The complexity of Big Data applications in conjunction with the
lack of standards for representing their
components, computations, and processes, have made the design of
data-intensive applications a failure
prone and resource-intensive activity. One of the reasons behind
it can be identified in a lack of sound
modeling practices. Indeed, multiple components and procedures
must be coordinated to ensure a high level
of data quality and accessibility for the application layers, e.g.
data analytics and reporting. We believe that a
major challenges of Big Data research requires - even more than
developing new analytics - devising
innovative data management techniques capable to deliver
functional and non-functional properties like among
others: data quality, data integration, metadata discovery,
reconciliation and augmentation, model compliance,
or regulatory compliance.
Data Semantics research can address such challenges in future
research according to the FAIR principles, for
implementing design procedures that generate Findable, Accessible,
Interoperable, and Reusable data.
Methods, principles, and perspectives developed by the Data
Semantics community can significantly
contribute to this goal. Solutions for integrating and querying
schema-less data, for example, have received
much attention. Standards for metadata management have been
proposed to improve data integration among
silos and to make data more discoverable and accessible through
heterogeneous infrastructures. A further
level of application of Data Semantics principles into Big Data
technologies involves Representing Processes,
i.e. representing the entire pipeline of technologies connected to
achieve a specific solution and make this
representation shareable and verifiable to support a mature
implementation of the Big Data production cycle.
This special issue of the Journal on Data Semantics aims at
sharing research and practical achievements in
the field of Big Data integration, storage, and processing. Topics
of interest for submission include, but are not limited to:
• Big Data Management
• Metadata Management
• Big Data Persistence and Preservation
• Big Data Quality and Provenance Control
• Big Data Storage and Retrieval
• Big Data Integration Architectures and Techniques
• Data Source Discovery
• Big Data Profiling and Semantics Discovery
• Querying Heterogeneous Big Data Repositories
• Caching and Materializing Query Results
• Quality of Big Data Services
• Big Data Service Performance Evaluation
• Big Data Service Reliability and Availability
• Reproducibility of Big Data Services
• Verifiability of Big Data Services
• Assurance in Big Data Services
• Big Data Visualization
• Real Time Visualisation
• Visualization Analytics for Big Data
• Big Social Media Mining
• Big Data Security and Privacy
• Big Data System Security and Integrity
• Big Data Information Security
• Privacy-Preserving Big Data Analytics
• Usable Security and Privacy for Big Data
• Performance of Big Data Architectures
• Query Optimization
• Optimal Selection of Analytics
• Physical Structures
## Guest Editors
Paolo Ceravolo, Università degli Studi di Milano, Italy
Robert Wrembel, Poznan University of Technology, Poland
Sylvio Barbon Junior, State University of Londrina, Brazil
## Editorial Board
Antonia Azzini, Consortium for the Technology Transfer (C2T),
Italy
Clodis Boscarioli, State University of West Paraná - UNIOESTE,
Brazil
Fadila Bentayeb, Université Lyon 2, France
Omar Boussaid, Université Lyon 2, France
Philippe Cudre-Mauroux, University of Fribourg, Switzerland
Jerome Darmont, Université Lyon 2, France
Luke Immes, University of Massachusetts Lowell, USA
Maurice van Keulen, University of Twente, The Netherlands
Mariangela Lazoi, University of Salento, Italy
Marcello Leida, StrabioDB, Spain
M. Teresa Gómez López, University of Seville, Spain
Azzam Mourad, Lebanese American University of Beirut, Lebanon
Jaroslav Pokorny, Charles University, Czech Republic
Kai-Uwe Sattler, TU Ilmenau, Germany
Darja Solodovnikova, University of Latvia, Latvia
Sean Wolfgand Matsui Siqueira, Federal University of Rio de
Janeiro State, Brazil
Fadi Zaraket, American University of Beirut, Lebanon
Bruno Bogaz Zarpelão, State University of Londrina, Brazil
## Timetable:
- 10 Nov 2019 - paper submission
- 25 Jan 2020 - author notification
- 15 Mar 2020 - revision submission
- 25 Apr 2020 - final acceptance notification
- 10 Jun 2020 - camera-ready submission
##Submission Guidelines
JoDS is looking for high-quality papers on any topic relevant to
the journal, including regular papers, survey
papers, industry papers, short papers, position papers, and
reports.
Submissions should contain original material that has not been
submitted or published elsewhere. The
submission should include an abstract and keywords, authors, and
specify which author serves as contact
author.
All submissions will be carefully reviewed by at least three
experts.
Submissions have to be formatted according to the journal’s
guidelines at
http://www.springer.com/13740
and have to be uploaded into Springer’s Electronic Management
System at
https://www.editorialmanager.com/jods
JoDS is abstracted/indexed in: Google Scholar, DBLP, OCLC, Summon
by ProQuest.
Selected sample articles are available at
http://www.springer.com/13740
ISSN: 1861-2032 (print version)
ISSN: 1861-2040 (electronic version)
Any questions should be addressed to the Guest Editors
Paolo Ceravolo,
paolo.ceravolo@unimi.it
Robert Wrembel,
robert.wrembel@cs.put.poznan.pl
Sylvio Barbon Junior,
barbon@uel.br
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