posted by organizer: nikola_todorovic || 580 views || tracked by 2 users: [display]

MADEISD 2019 : MADEISD Workshop - ADBIS 2019

FacebookTwitterLinkedInGoogle

Link: http://www.acs.uns.ac.rs/adbis2019/
 
When Sep 8, 2019 - Sep 11, 2019
Where Bled, Slovenia
Submission Deadline May 17, 2019
Notification Due Jun 10, 2019
Final Version Due Jun 23, 2019
Categories    data engineering   information system design   big data   no sql
 

Call For Papers


[Sorry for multiple copies]

**********************************************************************************************

MADEISD Workshop 2019– Modern Approaches in Data Engineering and Information System Design
http://www.acs.uns.ac.rs/adbis2019/

Organized within the framework of the European Conference on Advances in Databases and
Information Systems (ADBIS 2019)

Bled, Slovenia, September 8th-11th of September, 2019
https://adbis2019.um.si/

***********************************************************************************************


SCOPE & TOPICS

For decades, in many, particularly complex organization systems, there is an open issue how to support
information management process so as to produce useful knowledge and tangible business values from
data being collected. One of the central roles in addressing this issue still play databases and
information systems. In recent years, we are the witnesses of great movements in the area of business
information management. Such movements are both of technological and methodological nature. By this,
today we have a huge selection of various technologies, tools, and methods in data engineering as a
discipline that helps in a support of the whole data life cycle in organization systems, as well as in
information system design that supports the software process in data engineering. Despite that, one of
the hot issues in practice is still how to effectively transform large amounts of daily collected
operational data into the useful knowledge from the perspective of declared company goals, and how to set
up the information design process aimed at production of effective software services in companies.
It seems that nowadays we have great theoretical potentials for application of new and more effective
approaches in data engineering and information system design. However, it is more likely that real
deployment of such approaches in industry practice is far behind their theoretical potentials.

The main goal of this workshop is to address open questions and real potentials for various applications
of modern approaches and technologies in data engineering and information system design so as to develop
and implement effective software services in a support of information management in various organization
systems. We intend to address interdisciplinary character of a set of theories, methodologies, processes,
architectures, and technologies in disciplines such as Data Engineering, Information System Design,
Big Data, NoSQL Systems, and Model Driven Approaches in a development of effective software services.
We invite researchers from all over the world who will present their contributions, interdisciplinary
approaches or case studies related to modern approaches in Data Engineering and Information System Design.
We express an interest in gathering scientists and practitioners interested in applying these disciplines
in industry sector, as well as public and government sectors, such as healthcare, education, or security
services. Experts from all sectors are welcomed.


Submissions are expected from, but not limited to the following topics:

* Data Engineering and Information System Design – Mathematical Foundations, Theoretical, and Practical Aspects
* Architectures, Strategies, and Practices in Data Engineering and Information System Design
* Data Engineering and Information System Design – Applications and Industry Experience
* Big Data and NoSQL Systems in Data Engineering
* OLAP Systems for Big Data, Big Data Analytics, Deep Learning from Big Data
* Model Driven Approaches in Data Engineering, Databases, and Information System Design
* Model Driven Approaches in NoSQL System Design and Implementation – Problems and Issues
* Domain Specific Modeling and Tools in Data Engineering, Big Data, and NoSQL Systems
* Data Quality Management in Data Engineering, Big Data, and NoSQL Systems
* Methodologies, Models, Algorithms, and Architectures for Big Data and NoSQL Systems
* Teaching Data Engineering Approaches in Academic and Industrial Environments
* Organizational and Human Factors, Skills, and Qualifications for Data Engineering
* Data Privacy and Security Issues in Data Engineering
* Models for Data Engineering and Resource Integration
* Regulation and Standardization in Data Engineering
* Innovative Data Models and Data Integrity in Big Data and NoSQL Systems – Theoretical and Practical Aspects


PAPER SUBMISSION

* Submitted papers should present substantially original results not currently under review or published elsewhere.
* Papers should be written in English and must comply with the Springer formatting guidelines
(instructions for authors are available at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
* Papers should be formatted in Latex and submitted in PDF format
using the online submission system https://easychair.org/conferences/?conf=madeisd2019.
* The number of pages of a workshop paper must be between 6 and 12.


BEST PAPER AWARD

The best workshop papers will be invited for publications in the following journals:
* Computer Science and Information Systems http://www.comsis.org/
5-year IF: 0.675, indexed by: Science Citation Index (SCI) by Thomson Reuters, SCOPUS (Elsevier), Summon (Serials Solutions)
* Journal on Data Semantics (Springer) – only for papers on the main topics of the journal indexed among others by: SCOPUS, INSPEC,
DBLP, Emerging Sources Citation Index


IMPORTANT DATES

* Workshop paper submission: 17th of May, 2019
* Workshop paper acceptance notification: 10th of June, 2019
* Workshop paper camera ready: 23rd of June, 2019
* Workshop: 8th of September, 2019


WORKSHOP CHAIRS

* Ivan Luković, University of Novi Sad, Serbia (http://www.acs.uns.ac.rs/en/user/10, ivan@uns.ac.rs)
* Slavica Kordić, University of Novi Sad, Serbia (http://www.acs.uns.ac.rs/en/user/14, slavica@uns.ac.rs)


PROGRAM COMMITTEE (to be extended)

* Paulo Alves, Instituto Politécnico de Bragança, Portugal
* Marko Bajec, University of Ljubljana, Slovenia
* Zoran Bosnić, University of Ljubljana, Slovenia
* Boris Delibašić, University of Belgrade, Serbia
* João Miguel Lobo Fernandes, University of Minho, Portugal
* Krešimir Fertalj, University of Zagreb, Croatia
* Krzysztof Goczyła, Gdańsk University of Technology, Poland
* Ralf-Christian Härting, Aalen University, Germany
* Dušan Jakovetić, University of Novi Sad, Serbia
* Miklós Krész, InnoRenew CoE and University of Primorska, Slovenia
* Dragan Maćoš, Beuth University of Applied Sciences Berlin, Germany
* Zoran Marjanović, University of Belgrade, Serbia
* Sanda Martinčić-Ipšić, University of Rijeka, Croatia
* Cristian Mihaescu, University of Craiova, Romania
* Nikola Obrenović, Ecole Polytechnique Fédérale de Lausanne, Switzerland
* Maxim Panov, Skolkovo Institute of Science and Technology, Moscow, Russia
* Rui Humberto Pereira, Polytechnic Institute of Porto, Portugal
* Aleksandar Popović, University of Montenegro, Montenegro
* Patrizia Poščić, University of Rijeka, Croatia
* Adam Przybyłek, Gdansk University of Technology, Poland
* Sonja Ristić, University of Novi Sad, Serbia
* Sergey Rykovanov, Skolkovo Institute of Science and Technology, Moscow, Russia
* Igor Rožanc, University of Ljubljana, Slovenia
* Nikolay Skvortsov, Russian Academy of Sciences, Russia

Related Resources

ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
ADBIS 2019   23rd European Conference on Advances in Databases and Information Systems
BDML--Ei and Scopus 2019   2019 2nd International Conference on Big Data and Machine Learning (BDML 2019)--Ei Compendex and Scopus
ADBIS DC 2019   ADBIS 2019 Doctoral Symposium
EI-ICBICC 2020   2020 2nd International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2020)
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
Ei-CCESG 2020   2020 3rd International Joint Conference on Clean Energy and Smart Grid(CCESG 2020)
DMDBS 2019   5th International Conference on Data Mining and Database Management Systems
FL - IEEE BigData 2019   IEEE BigData 2019 - Special Track on Federated Machine Learning
Data Science 2020   3nd Annual International Great Lakes Data Science Symposium