[FM-India] JoDS Special Issue on Big Data Semantics

[Paolo Ceravolo]

# 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 at unimi.it

Robert Wrembel, robert.wrembel at cs.put.poznan.pl

Sylvio Barbon Junior, barbon at uel.br